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Sasikala, S.
- Relationship of Emotional Intelligence, Alternative Employment Opportunities, Job Satisfaction and Organizational Commitment with Turnover Intensions
Abstract Views :489 |
PDF Views:0
Authors
S. Suneyna
1,
S. Sasikala
2
Affiliations
1 Teaching Faculty, Kids Central-Nursery and Primary School, Chennai, IN
2 Department of Psychology Ethiraj College for Women, Chennai, IN
1 Teaching Faculty, Kids Central-Nursery and Primary School, Chennai, IN
2 Department of Psychology Ethiraj College for Women, Chennai, IN
Source
International Journal of Education and Management Studies, Vol 4, No 1 (2014), Pagination: 38-42Abstract
Industry is a business activity related to the cultivating, producing or manufacturing of products and involves selling of goods and services. Industries began as early as 1800's and several technological advances have taken place. This has led to the development of new sectors of industries. Many developed countries like UK, US, Canada, Germany, Ireland, etc. or developing countries like India, China, Russia, etc. depend significantly on industrial economy. There are various types of industries such are; primary, genetic, extractive, construction, and manufacturing. The sudden boom in IT and ITES has taken a toll on most of the industries and thereby resulting in a steep rise in the attrition rate. The larger pay scales and comfort level have become criteria for most employees. The associated costs for the organization with the rise in attrition include talent loss, training costs, recruitment costs and productivity loss. The present study is aimed to identify the influence of emotional intelligence, perceived alternative employment opportunities, job satisfaction and organizational commitment on turnover intentions. The Assessing Emotional Intelligence Scale by Schutte et al (1998), Perceived Alternative Employment Opportunities by Mowday, Koberg &Mc Arthur (1984), Job Satisfaction Survey by Spector (1997), Organizational Commitment by Allen & Meyer (1990) and Turnover Intentions developed by the researcher (2012) were the tools used in the study. Data were collected from 104 employees (both male and female) of different manufacturing companies using convenience sampling method. Correlation and t-test were used to analyze the data and the results were discussed based on the importance of reducing the attrition rate in organizations.Keywords
Emotional Intelligence, Alternative Employment Opportunities,job Satisfaction, Organizational Commitment
- Comprehensive Evaluation of Machine Learning Techniques and Novel Features for Web Link Spamdexing Detection
Abstract Views :455 |
PDF Views:263
Authors
Affiliations
1 Department of Computer Science, Vellalar College for Women, Erode, IN
2 Department of Computer Science, KSR College of Arts and Science, Tiruchengode, IN
3 Kumaraguru College of Technology, Coimbatore, IN
1 Department of Computer Science, Vellalar College for Women, Erode, IN
2 Department of Computer Science, KSR College of Arts and Science, Tiruchengode, IN
3 Kumaraguru College of Technology, Coimbatore, IN
Source
ScieXplore: International Journal of Research in Science, Vol 1, No 2 (2014), Pagination: 98-109Abstract
World Wide Web (WWW) is a huge, dynamic, self-organized, and strongly interlinked source of information. Search engine became a vital IR (Information Retrieval) system to retrieve the required information. Results appearing in the first few pages gain more attraction and importance. Since users believe that they were more relevant because of its top positions. Spamdexing plays a key role in making high rank and top visibility for an undeserved page. This paper focus on two aspects: new features and new classifiers. First, 27 new features which are used to commercially boost the ranking and reputation are considered for classification. Along with them 17 new features were proposed and computed. Totally 44 features were combined with the existing WEBSPAM-UK 2007 dataset which is the baseline. With all these features, feature inclusion study is carried out to elevate the performance. Second aspect considered in this paper is exploring new suite of five different machine learners for the web spam classification problem. Results are discussed. New feature inclusion improves the classification accuracy of the publicly available WEBSPAM-UK 2007 features by 22%. SVM outperforms well than the other methods in terms of accuracy.Keywords
Decision Table, HMM, Search Engine, SVM, Web Spam.Full Text
References
- Egele M., Kolbitsch C., and Platzer C., “Removing Web Spam Links from Search Engine Results”, Journal of Computational Virology, Springer-Verlag, France, 2009.
- Delany S.J., Cunningham P., and Coyle L., “An Assessment of Case-Based Reasoning for Spam Filtering”, Springer Artificial Intelligence Review, p. 359–378, 2005.
- Chung Y., Toyoda M., and Kitsuregawa M., “Identifying Spam Link Generators for Monitoring Emerging Web Spam”, WICOW’10, North Carolina, USA, 2010. p. 51–58.
- Erdelyi M., Garzo A., and Benczur A., “Web spam classification: a few features worth more”, WICOW/AIRWeb Workshop on Web Quality, India, 2011. p. 27–34.
- Karimpour J., Noroozi A., and Abadi A., “The Impact of Feature Selection on Web Spam Detection”, I.J. Intelligent Systems and Applications, p. 61–67, 2012.
- Geng G., Wang C.H., and Dan Li Q., “Improving Web Spam Detection with Re-Extracted Features”, WWW 2008, Beijing, China. 2008. ACM, p. 1119–1120.
- Benczur A., Bıro I., Csalogany K., and Sarlos T., “Web spam detection via commercial intent analysis”, 3rd International Workshop on Adversarial Information Retrieval on the Web, AIRWeb’07. 2007.
- Gan Q., and Suel T., “Improving Web Spam Classifiers Using Link Structure”, AIRWeb ’07, Canada. 2007.
- Jayanthi S.K., Sasikala S., “WESPACT: Detection of Web Spamdexing with Decision Trees in GA Perspective”, International Conference on Pattern Recognition, Informatics and Medical Engineering (PRIME-2012), Periyar University, Salem, IEEE Xplore, Listed in SCOPUS, 2012 Mar 21–23. p. 381–386.
- Jayanthi S.K., and Sasikala S., “REPTree Classifier for Identifying Link Spam in Web Search Engines”, Ictact Journal On Soft Computing, vol. 3(2), p. 498–505, 2007
- Jayanthi S.K., Sasikala S., “Web Link Spam Identification Inspired By Artificial Immune System and the Impact of TPP-FCA Feature Selection on Spam Classification”, Ictact Journal On Soft Computing, vol. 4(1), p. 633–644, 2013 Oct.
- Jayanthi S.K., Sasikala S., “Naïve Bayesian Classifier and PCA for Web Link Spam Classification”, Georgian Electronic and Scientific Journal, GESJ: Computer Science and Telecommunications, vol. 1(41), 2014 Mar.
- Tian Y., Weiss G.M., and Ma Q., “A Semi-Supervised Approach for Web Spam Detection using Combinatorial FeatureFusion”, Graph labeling workshop and web spam challenge in European Conference on Machine Learning and Principles and Practice of Knowledge Discovery, 2010. p. 16–23.
- Radicati01. Available: www.radicati.com, Accessed on Nov 2010.
- Radicati02. Available: http://www.radicati.com/wp/wpcontent/ uploads/2013/05/Corporate-Web-Security-Market2013-2017-Executive-Summary.pdf, Accessed on Oct 2013.
- Symantec, Symantec Intelligence Report, b-intelligence_ report_08-2013.en-us, Accessed on Aug 2013.
- WWWsize. Available: http://www.worldwidewebsize.com/, Accessed on Nov 2013.
- Wiki02. Available: http://en.wikipedia.org/wiki/Machine_ learning, Accessed on 2013.
- Wiki03. Available: http://en.wikipedia.org/wiki/Feature_ selection, Accessed on 2013.
- Dmoz open directory
- Available: www.google.com
- iwebtool, Available: http://www.iwebtool.com/pagerank_ prediction, Accessed on 2012.
- WEKA, Available: www.cs.waikato.ac.nz/ml/weka/
- Medical Image Segmentation Using Optimum Thresholded Reaction-Diffusion Active Contour Model
Abstract Views :193 |
PDF Views:0
Authors
S. Sasikala
1,
M. Thilagam
2
Affiliations
1 IDE, University of Madras, Chennai, IN
2 Department of Computer Science, Sri. SRNM College, Sattur, Virudhunagar Dist, IN
1 IDE, University of Madras, Chennai, IN
2 Department of Computer Science, Sri. SRNM College, Sattur, Virudhunagar Dist, IN
Source
Indian Journal of Innovations and Developments, Vol 4, No 1 (2015), Pagination: 93-99Abstract
Background: The diagnosis of diseases like Attention Deficit Hyperactive Disorder and cervical cancer needs an efficient segmentation technique to identify the regions of problematic areas with low cost and CPU time.
Method: The Proposed RD - ACM methodused to identify the ADHD and cervical cancer affected areas. In this method, the acquired input images are enhanced, converted into binary images using optimal threshold value andthe connected components are extracted using label matrix. The initial contours are generated and taken as the zero level set.Neumann Boundary is generated to specify the size of the image where the Level Set Evolution (LSE) process will take place. Then the image is smoothen by Heaviside and Dirac delta function. The proposed method provides a piecewise constant solution is derived by the introduction of diffusion term into LSE.A Two-step splitting method iteratively solves the RD-LSE equation is introduced to first iterate the LSE equation, and then solve the diffusion equation and to regularize the level set function obtained in the first step. The process is repeated until the final contours of the objects are extracted.
Results: Significant promising segmentation results are noticed for all type of images with boundary antileakage. It can be applied to solve both variational as well as partial differential equation based level set methods. The application of Reaction- Diffusion term ensures stability, and thus the complex and costly reinitialization procedure is completely eliminated from LSE.
Conclusion: Anovel medical image segmentation technique using optimal threshold Reaction-Diffusion Active Contour model (RD - ACM) is found to be morfe promising technique in the diagnosis of ADHD.
Keywords
Reaction, Diffusion, Active contour, Level Set Evolution, Neumann Boundary.Full Text
- Attitude towards Premarital Sex among College Students
Abstract Views :952 |
PDF Views:0
Authors
Affiliations
1 Department of Psychology, University of Madras, Chennai, IN
2 Department of Psychology, Ethiraj College, Chennai, IN
1 Department of Psychology, University of Madras, Chennai, IN
2 Department of Psychology, Ethiraj College, Chennai, IN
Source
Indian Journal of Health and Wellbeing, Vol 4, No 4 (2013), Pagination: 833-836Abstract
The abundant availability of the internet and reality television has a corrupting influence on the people all over the world in general and citizens of India, in particular and they reach a conclusion that Premarital Sex (PMS), extramarital affairs, divorce without valid reasons, dating, etc. do not stand out of their culture and values. The impact of the technological advancement is more on school and college students. Moreover, in India, sex education is not compulsory in schools and colleges, due to which there is a higher prevalence rate of AIDS in the country now. With theories stating that attitude leads to behavior, proper empirical data on attitude of youngsters is essential to help the Government of India to initiate and introduce sex education in all schools. Thus, the need to study the attitude of students towards pre-marital sex was felt and an attempt was made in this study. Qualitative research method was used and convenient sampling procedure was used to collect data. A questionnaire containing open and closed ended questions were administered to a group of 30 college students. The data was analyzed using both content analysis and percentage analysis. The results were interpreted based on the cultural factor and the role of westernization.Keywords
Attitude towards Premarital Sex, Sex Education, Sexual Behavior, Youth.- An Effective Content based Image Retrieval using Spatial Feature of Texture Primitive Feature and Statistical Shape Features
Abstract Views :128 |
PDF Views:3
Authors
S. Sasikala
1,
S. Thavamani
2
Affiliations
1 Sree Saraswathi Thyagaraja College, IN
2 Department of Computer Science, Sree Saraswathi Thyagaraja College, IN
1 Sree Saraswathi Thyagaraja College, IN
2 Department of Computer Science, Sree Saraswathi Thyagaraja College, IN
Source
Digital Image Processing, Vol 3, No 14 (2011), Pagination: 923-928Abstract
The ever increasing amount of multimedia data creates a need for new sophisticated methods to retrieve the information one is looking for. Especially for the visual content this is still an unsolved problem. Thus content-based image retrieval attracted many researchers of various fields in an effort to automate data analysis and indexing. Finally, keywords assignment is subjective to the person making it. Therefore, content-based image retrieval (CBIR) systems propose to index the media documents based on features extracted from their content rather than by textual annotations. For still images, these features can be color, shape, texture, objects layout, edge direction, etc. This paper focuses on using the spatial feature of Texture Primitive Feature and Statistical Shape Features for image retrieval. Based on the analysis of the statistical distribution of the texture primitive, the spatial distribution map of each feature is presented to describe the image texture information. The shape features suggested here are edge histograms and Fourier-transform-based features computed for an edge image in Cartesian and polar coordinate planes. Experimental result shows that the proposed image retrieval system results in better retrieval of images.Keywords
Content-Based Image Retrieval (CBIR), Spatial Feature, Texture Primitive Feature, Statistical Shape Feature.- NLSDF for Boosting the Recital of Web Spamdexing Classification
Abstract Views :189 |
PDF Views:0
Authors
Affiliations
1 Department of Computer Science, Vellalar College for Women, IN
2 Department of Computer Science, Hindusthan College of Arts and Science, IN
1 Department of Computer Science, Vellalar College for Women, IN
2 Department of Computer Science, Hindusthan College of Arts and Science, IN
Source
ICTACT Journal on Soft Computing, Vol 7, No 1 (2016), Pagination: 1324-1331Abstract
Spamdexing is the art of black hat SEO. Features which are more influential for high rank and visibility are manipulated for the SEO task. The motivation behind the work is utilizing the state of the art Website optimization features to enhance the performance of spamdexing detection. Features which play a focal role in current SEO strategies show a significant deviation for spam and non-spam samples. This paper proposes 44 features named as NLSDF (New Link Spamdexing Detection Features). Social media creates an impact in search engine results ranking. Features pertaining to the social media were incorporated with the NLSDF features to boost the recital of the spamdexing classification. The NLSDF features with 44 attributes along with 5 social media features boost the classification performance of the WEBSPAM-UK 2007 dataset. The one tailed paired t-test with 95% confidence, performed on the AUC values of the learning models shows significance of the NLSDF.Keywords
Web Spam, Search Engine, SVM, Decision Table, HMM.- Speaker Identification System using Gaussian Mixture Model and Support Vector Machines (GMM-SVM) under Noisy Conditions
Abstract Views :176 |
PDF Views:0
Authors
Affiliations
1 School of Computing Science and Engineering, Vellore Institute of Technology University, Chennai Campus, Vellore – 632014, Tamil Nadu, IN
2 TIFAC-CORE, Velammal Engineering College, Chennai - 600066, Tamil Nadu, IN
3 Department of Computer Science, Institute of Distance Education, University of Madras, Chennai - 600005, Tamil Nadu, IN
1 School of Computing Science and Engineering, Vellore Institute of Technology University, Chennai Campus, Vellore – 632014, Tamil Nadu, IN
2 TIFAC-CORE, Velammal Engineering College, Chennai - 600066, Tamil Nadu, IN
3 Department of Computer Science, Institute of Distance Education, University of Madras, Chennai - 600005, Tamil Nadu, IN
Source
Indian Journal of Science and Technology, Vol 9, No 19 (2016), Pagination:Abstract
Background: Automatic Speaker Identification (SID) systems has been a major breakthrough and crucial in many real world applications. Methods: This work addresses the SID task based on GMM-SVM in a three stage process. Firstly, the Gammatone Frequency Cepstral Coefficients (GFCC) and Mean Hilbert Envelope Coefficients (MHEC) of the speakers are extracted. Secondly, these features are modeled using Gaussian Mixture Model (GMM), on adapting the extracted acoustic features by mean, the corresponding super vectors are found and these vectors are trained using Support Vector Machine (SVM). Finally, the actual recognition is done by feeding the super vectors of them asked noisy test utterance by Ideal Binary Mask (IBM) into SVM model and their accuracy of recognition is compared for GFCC, MHEC and RASTA-MFCC in different noisy conditions. Findings: Evaluation results show that SID performance carried out with MHEC is extensively better than the performance of other two features. Applications: Major areas that implements automatic SIDs are forensics, surveillance and audio biometrics etc.Keywords
GMM-SVM, Gamma tone Frequency Cepstral Coefficients, Ideal Binary Mask, Mean Hilbert Envelope Coefficients, Robust Speaker Identification.Full Text
- Web Link Spam Identification Inspired by Artificial Immune System and the Impact of TPP-FCA Feature Selection on Spam Classification
Abstract Views :156 |
PDF Views:0
Authors
Affiliations
1 Department of Computer Science, Vellalar College for Women, IN
2 Department of Computer Science, K.S.R College of Arts and Science, IN
1 Department of Computer Science, Vellalar College for Women, IN
2 Department of Computer Science, K.S.R College of Arts and Science, IN
Source
ICTACT Journal on Soft Computing, Vol 4, No 1 (2013), Pagination: 633-644Abstract
Search engines are the doorsteps for retrieving required information from the web. Web spam is a bad method for improving the ranking and visibility of the web pages in search engine results. This paper addresses the problem of the link spam classification through the features of the web sites. Link related features retrieved from the website are used to discriminate the spam and non-spam sites. AIS inspired algorithms are applied for the dataset and results are evaluated. Artificial immune systems are machine learning systems inspired by the principles of the natural immunology. It comprises of supervised learning schemes which can be adapted for the wide range of the classification problems.UK- WEBSPAM-2007 Dataset [8] is used for the experiments. WEKA [9] is used to simulate the classifiers. Artificial Immune Recognition algorithm seems to perform well than the other classes. Best classification accuracy attained is 98.89 by AIRS1 Algorithm. This seems to be good when comparing with the other classifiers accuracy available on the existing literature.Keywords
Web Spam, Search Engine, TPP, FCA, AIRS.- Reptree Classifier for Identifying Link Spam in Web Search Engines
Abstract Views :149 |
PDF Views:0
Authors
Affiliations
1 Department of Computer Science, Vellalar College for Women, IN
2 Department of Computer Science, KSR College of Arts and Science, IN
1 Department of Computer Science, Vellalar College for Women, IN
2 Department of Computer Science, KSR College of Arts and Science, IN
Source
ICTACT Journal on Soft Computing, Vol 3, No 2 (2013), Pagination: 498-505Abstract
Search Engines are used for retrieving the information from the web. Most of the times, the importance is laid on top 10 results sometimes it may shrink as top 5, because of the time constraint and reliability on the search engines. Users believe that top 10 or 5 of total results are more relevant. Here comes the problem of spamdexing. It is a method to deceive the search result quality. Falsified metrics such as inserting enormous amount of keywords or links in website may take that website to the top 10 or 5 positions. This paper proposes a classifier based on the Reptree (Regression tree representative). As an initial step Link-based features such as neighbors, pagerank, truncated pagerank, trustrank and assortativity related attributes are inferred. Based on this features, tree is constructed. The tree uses the feature inference to differentiate spam sites from legitimate sites. WEBSPAM-UK-2007 dataset is taken as a base. It is preprocessed and converted into five datasets FEATA, FEATB, FEATC, FEATD and FEATE. Only link based features are taken for experiments. This paper focus on link spam alone. Finally a representative tree is created which will more precisely classify the web spam entries. Results are given. Regression tree classification seems to perform well as shown through experiments.Keywords
Web Link Spam, Classification, Reptree, Decision Tree, Search Engine.- Deriving User Access Patterns and Mining Web Community with Web-Log Data for Predicting User Sessions With Pajek
Abstract Views :182 |
PDF Views:0
Authors
S. Balaji
1,
S. Sasikala
2
Affiliations
1 Department of Computer Science, Sengunthar College of Engineering, IN
2 Department of Computer Science, K.S.R College of Arts and Science, IN
1 Department of Computer Science, Sengunthar College of Engineering, IN
2 Department of Computer Science, K.S.R College of Arts and Science, IN
Source
ICTACT Journal on Soft Computing, Vol 3, No 1 (2012), Pagination: 415-419Abstract
Web logs are a young and dynamic media type. Due to the intrinsic relationship among Web objects and the deficiency of a uniform schema of web documents, Web community mining has become significant area for Web data management and analysis. The research of Web communities extents a number of research domains. In this paper an ontological model has been present with some recent studies on this topic, which cover finding relevant Web pages based on linkage information, discovering user access patterns through analyzing Web log files from Web data. A simulation has been created with the academic website crawled data. The simulation is done in JAVA and ORACLE environment. Results show that prediction of user session could give us plenty of vital information for the Business Intelligence. Search Engine Optimization could also use these potential results which are discussed in the paper in detail.Keywords
Web Log, Mining, Clustering, Social Network Analysis.- The M/M/1/N Interdependent Queueing Model with Controllable Arrival Rates, Reverse Balking and Reverse Reneging
Abstract Views :136 |
PDF Views:2
Authors
Affiliations
1 Department of Mathematics, St. Joseph College, Tamil Nadu, IN
2 Department of Mathematics, Cauvery College for Woman, Tamil Nadu, IN
1 Department of Mathematics, St. Joseph College, Tamil Nadu, IN
2 Department of Mathematics, Cauvery College for Woman, Tamil Nadu, IN
Source
International Journal of Innovative Research and Development, Vol 5, No 4 (2016), Pagination: 303-310Abstract
In this Paper, an M/M/1/N interdependent queueing model with controllable arrival rates, reverse balking and reverse reneging is considered. This model is much useful in analysing the particular situations arising at the places like a data voice transmission, computer communication system etc. The steady state solution and the system characteristics are derived for this model. The analytical results are numerically illustrated and the effects of the nodal parameters on the system characteristics are studied.
Keywords
Finite Capacity, Interdependent Controllable Arrival and Service Rates, Reverse Balking, Reverse Reneging, Single Server, Bivariate Poisson Process.Full Text
- Attitude towards Premarital Sex among College Students
Abstract Views :597 |
PDF Views:0
Authors
Affiliations
1 Department of Psychology, University of Madras, Chennai, IN
2 Department of Psychology, Ethiraj College, Chennai, IN
1 Department of Psychology, University of Madras, Chennai, IN
2 Department of Psychology, Ethiraj College, Chennai, IN
Source
Indian Journal of Health and Wellbeing, Vol 4, No 8 (2013), Pagination: 1563-1566Abstract
The abundant availability of the internet and reality television has a corrupting influence on the people all over the world in general and citizens of India, in particular and they reach a conclusion that Premarital Sex (PMS), extra-marital affairs, divorce without valid reasons, dating, etc. do not stand out of their culture and values. The impact of the technological advancement is more on school and college students. Moreover, in India, sex education is not compulsory in schools and colleges, due to which there is a higher prevalence rate of AIDS in the country now. With theories stating that attitude leads to behavior, proper empirical data on attitude of youngsters is essential to help the Government of India to initiate and introduce sex education in all schools. Thus, the need to study the attitude of students towards pre-marital sex was felt and an attempt was made in this study. Qualitative research method was used and convenient sampling procedure was used to collect data. A questionnaire containing open and closed ended questions were administered to a group of 30 college students. The data was analyzed using both content analysis and percentage analysis. The results were interpreted based on the cultural factor and the role of westernization.Keywords
Attitude towards Premarital Sex, Sex Education, Sexual Behavior, Youth.- A Study to Assess the Effectiveness of Structured Teaching Program on Menstrual Hygiene for Adolescent Girls
Abstract Views :163 |
PDF Views:0
Authors
Affiliations
1 Govt. College of Nursing, Kadapa, IN
2 Dept. of Home Science, SPMVV, Tirupati, IN
1 Govt. College of Nursing, Kadapa, IN
2 Dept. of Home Science, SPMVV, Tirupati, IN
Source
International Journal of Advances in Nursing Management, Vol 5, No 1 (2017), Pagination: 55-58Abstract
In total, women spend around six to seven years of their lives menstruating. A key priority for women and girls is to have the necessary knowledge, facilities and cultural environment to manage menstruation hygienically, and with dignity. Yet, the importance of menstrual hygiene management is mostly neglected by development practitioners and other related sectors such as reproductive health. Despite major developments in the hygiene and sanitation sector in recent years, the menstrual requirements of women and adolescent girls have been ignored. Overcoming this gap is vital. Menstruation is normal and natural, but many women suffer and die because of widespread ignorance and shame. Hence, this study was conducted to assess the effectiveness of structured teaching program on knowledge regarding menstrual hygiene for adolescent girls.Keywords
Structured Teaching Programme: Menstrual Hygiene, Adolescent Girls.- X GraphticsCLUS:Web Mining Hyperlinks and Content of Terrorism Websites for Homeland Security
Abstract Views :135 |
PDF Views:0
Authors
Affiliations
1 Computer Science Department, Vellalar College for Women, Erode, IN
2 Computer Science Department, KSR College of Arts and Science, Tiruchengode, IN
1 Computer Science Department, Vellalar College for Women, Erode, IN
2 Computer Science Department, KSR College of Arts and Science, Tiruchengode, IN
Source
International Journal of Advanced Networking and Applications, Vol 2, No 6 (2011), Pagination: 941-949Abstract
World Wide Web has become one of the best and fast communication media and information could be distributed within few seconds to the world day by day. The evolution of social networking media increases it further more to transfer information in a rapid speed to common people. Terrorism organizations utilize these facets of the web in very efficient manner for their destructive plans. Understanding web data is a decisive task to assure the better perceptive of a website. This paper focuses on the content and link structure mining of the website which was suspicious through XGraphticsCLUS. This is done through viewing the web as graph and retrieving the various content of the website. This could help in terms of better understanding the motto and various other web connections in the suspicion. The navigational links offered in the particular website could leave with some informative evidence. This paper puts a step towards the national security and provides the user a good perception.Keywords
Hyperlinks, Content, Mining, Terrorism Websites.Full Text
- Analysis of Spamdexing Influence and Click-Fraud Link-Spam in Online Marketing
Abstract Views :161 |
PDF Views:0
Authors
Affiliations
1 Department of Computer Applications, Hindusthan College of Arts and Science, IN
1 Department of Computer Applications, Hindusthan College of Arts and Science, IN
Source
Software Engineering, Vol 10, No 3 (2018), Pagination: 41-44Abstract
The search engine advertising has become a dominant form of online advertising and is the predominant business model of search engines. The www leading search engine Google earned 16 billion US$ with search engine advertisement in the fiscal year 2007. The advertiser does not usually pay for the impression of the ad, but for a click on the advertisement. Fraudulent clicks present an inherent problem of this so called pay-per-click model. Click fraud represent any procedure that illegally exploits pay-per click markets. In particular, click fraud resolves around intentional clicks without intent to interact with the advertiser. In this context, a class action against several search engine providers in 2005 attracted attention (DELANEY 2005). To what extend, search engine providers are liable for the manipulation of clicks and click rates, was not finally judicially clarified. Google settled the class action by agreeing to pay its advertisers 90 billion US $. Click fraud represents a general threat for the pay-per-click model as well as a more specific threat for the business model of search engines. Search engine providers need to ascertain the reliability and correctness of the pay per-click model to preserve the trust of advertisers. Advertisers likewise need to consider click fraud in their decision process for the future configuration of advertising campaigns. In this contribution, we illustrate the main consequences of fraudulent clicks on frequently used measures of search engine advertising. Thereby, we support the early detection of and defense against click fraud in web.
Keywords
Spam, Link Spam, HITS, Pagerank, Hub, Authority, Searchengine, Click-Fraud.- Comprehensive Assessment of Results Offered by State of Art Search Engines
Abstract Views :133 |
PDF Views:0
Authors
Affiliations
1 Department of Computer Applications, Hindusthan College of Arts and Science, IN
2 Department of BCA, Hindusthan College of Arts and Science, IN
1 Department of Computer Applications, Hindusthan College of Arts and Science, IN
2 Department of BCA, Hindusthan College of Arts and Science, IN
Source
Software Engineering, Vol 10, No 3 (2018), Pagination: 45-50Abstract
In many ways, search engines have become the most important tool for information seeking. Due to their tremendous economic value, search engine companies constantly put major efforts to improve their search results. Employing the link architecture of World Wide Web network, search engines like Google and Bing help people to locate resources efficiently. There has been an issue between Google vs. Bing since Jan’2016 regarding the search results offered for queries that, Bing is stealing the data of Google. This paper reveals, Sting Google vs. Bing experiment, and found that about half of all search results on the first pages of Bing and Google featured identical links. Analysis has been carried out to understand the technical perception of the search engines with utilities and results have been discussed over here.
Keywords
Search Engine, Google, Bing, Spam, Ranking.- Campaigning Ingeniously in Social Networks with Corporate Social Responsibility (CSR)
Abstract Views :126 |
PDF Views:0
Authors
Affiliations
1 Department of Computer Applications, Hindusthan College of Arts and Science, IN
2 Department of BCA, Hindusthan College of Arts and Science, IN
1 Department of Computer Applications, Hindusthan College of Arts and Science, IN
2 Department of BCA, Hindusthan College of Arts and Science, IN
Source
Software Engineering, Vol 10, No 3 (2018), Pagination: 51-53Abstract
Social media thrives upon open, transparent conversations based on trust. And coupled with its viral nature, it is often elected above other mediums to drive a message home. Brands are increasingly adopting the social media route, especially when it comes to executing corporate social responsibility. This year, some innovative CSR campaigns that show promise as well as are an indicator of the evolution of social media has been released. The social value of ‘like/share’ and the power of the social network have been put to clever use. Here, in this paper a collection of 5 impressive CSR campaigns that have leveraged the power of social media is discussed.
Keywords
Search Engine, Google, Bing, Spam, Ranking.- Development and Validation of Perceived Parental Involvement Questionnaire
Abstract Views :259 |
PDF Views:0
Authors
Affiliations
1 Department of Psychology, University of Madras, Chennai, Tamil Nadu, IN
1 Department of Psychology, University of Madras, Chennai, Tamil Nadu, IN
Source
IAHRW International Journal of Social Sciences Review, Vol 7, No 1 (2019), Pagination: 90-94Abstract
Parental involvement has a positive influence on Adolescents' life, behaviour and achievements. Early adolescents often undergo various changes in the areas of social context, family bonding, friendships, ideologies and developmental processes. This phase of life is crucial and the adolescents are in indispensable need of parental support and guidance. Researchers have proved positive effects of parent involvement on children (Eccles & Harold, 1993). According to Henderson and Berla (1994), the most accurate predictor of a student's achievement in school is not income or social status but the extent to which that student's family is able to create a home environment that encourages learning, express high expectations for their children's achievement and future career and become involved in their children's education at school and in the community. Further, Epstein (1987) has developed a framework for defining six different types of parental involvement such as parenting, communicating, volunteering, learning at home, decision-making and collaborating with the community. Contrary to this in the modern family set up there is a lack of interaction between parents and children. In most families both the parents are engaged in earning their livelihood. They focus on satisfying the material needs of their children and mostly involve in their children's academic areas but the other aspects are neglected leading to various emotional crises during adolescence. Therefore, the researchers identified the need to assess perceived parental involvement among adolescent students. After a thorough review of the literature, no appropriate and relevant tool was found to assess the perceived parental involvement of Indian adolescents that take into account the cultural constraints and disparity. Hence, the investigators aimed at developing a tool to assess the perceived parental involvement of adolescents. The present study made an attempt to develop and validate an inventory to assess the perceived parental involvement of adolescents. Initial items were generated using the existing tool, reviews, interviews and focus group discussions. 55 items were initially generated which was given to experts in the field of psychology and education. By incorporating the suggestions given by the experts, content validity was established. Test-retest reliability, split half reliability, and inter-item reliability were established. Through factor analysis, Perceived Parental Involvement Inventory emerged as a uni-dimensional scale which establishes construct validity of the tool. Finally, the tool was administered along with Perceived Parental Expectations Inventory for establishing convergent validity which also confirmed the validity of the tool. After the modification, the self-report inventory finally consisting of 30 items which are rated using five-point scale is ready to administer.Keywords
Tool Development, Parental Involvement, Adolescent Life Behavior, Achievement.References
- Baker, A. (1997). Parents as school partners. National council of Jewish women. Retrieved on December 2, 2002. Retrieved from http://eric-web.tc.columbia.edu/npinpdfs/parents_as_partners .pdf
- Baumrind, D. (1966). Effects of authoritative parental control on child behavior. Child Development, 37(A), 887-907.
- Bloom, J. (1992). Parenting our schools: A hands-on guide to educational reform. Toronto: Little Brown and Co.
- Bowen, M. (1978). Family therapy in clinical practice. New York: Rowan and LittlefieldPublishers, Inc.
- Chavkin, N., & Williams, D. (1987). Critical issues in teacher training for parent involvement. Educational Horizons, 66, 87-89.
- Clark, R M. (1990). Why disadvantaged children succeed. Public Welfare (Washington, DC), (Spring), pp. 17-23.
- Coleman, J. S. (1987). Families and schools. Educational Researcher, 7(5(6), 32-38.
- Cripps, K., & Zyromski, B. (2009). Adolescents psychological well-being and perceived parental involvement: Implications for parental involvement in middle schools. Research in Middle Level Educattion, 33(4), 1-13.
- David, R T., Susan, P. K., Terri, L. S., & Susan, D. C. (2010). Parent involvement and student academic performance: A multiple mediational analysis. Journal of Prevention and Intervention in the Community, 35(3), 183-197.
- Eccles, J. S., & Harold, R D. (1993). Parent-school involvement during the early adolescentyears. Teachers College Record, 94(3), 568-587.
- Epstein, J. L. (1987). Parent involvement: What research says to administrators? Education and Urban Society, 19(2), 119-136.
- Gordon, I. R (1977). Parent education and parent involvement: retrospect and prospect. Childhood Education, 54,71-79.
- Gordon, I. J., Greenwook, G. E., Ware, W. B., & Olmstead, P. P. (1974). The Florida parent fellow through program. Institute for Development of Human Resources. University of Florida.
- Henderson, A., &Berla, N. (1994). A new generation of evidence: The family is critical to student achievement. Columbia, MD: National Committee for Citizens in Education.
- Jackson, K. R, & Stretch, H. A. (1976). Perceptions of parents, teachers and administrators to parental involvement in early childhood program. The Alberta Journal of Education Research,22(2), 129-139.
- Jambunathan, S., & Counselman, K. (2002). Parenting attitudes of Asian Indian mothers living in the United States and in India. Early Child Development and Care, 172,657-662.
- Kenny, M. E. (1987). The extent and function of parental attachment among first-year college students. Journal of Youth and Adolescence, 16,17-27.
- Leitch, M., & Tagari, S. (1988). Barriers to home-school collaboration. Educational Horizons, 66(2),10-1 A.
- Liontos, L. (1992). At-riskfamilies and schools becoming partners. Eugene: University of Oregon, ERIC Clearinghouse of Educational Management. College of Education. University of Oregon.
- Parker, G., Tupling, H., & Brown, L. B. (1979). A parental bonding instrument. British Journal of Medical Psychology, 52, 1-10.
- Peisah, C, Brodaty, H., Luscombe, G., Kruk, J., & Anstey, K. (1999). The parent adult-child relationship questionnaire (PACQ): The assessment of the relationship of adult children to their parents. Aging and Mental Health, 3, 28-38.
- Sasikala, S., & Karunanidhi, S. (2011). Development and validation of perception of parental expectation inventory. Journal of the Indian Academy of Applied Psychology, 37(1), 114-124.
- Sloper, P., Knussen, C, Turner, S., & Cunningham, C. (1991). Factors related to stress and satisfaction with life in families of children with Down syndrome. Journal of Child Psychology and Psychiatry, 32(4) 655-676.
- Steven, M. (2015). How parent-child relations have changed. The evolution of the parent-child bond. Retrieved on July 3, 2016. Retrieved from https://www.psychologytoday.com/blog/the-prime-life/201504/how-parent-child-relations-have-changed
- Swap, S. M. (1992). Parent involvement and success for all children: What we know now. In S. L. Christenson and J. C. Conoley (Eds.), Home-school collaboration: Enhancing children's academic and social competence. Maryland: The national association of school psychologists.
- Weiss, H. B., Mayer, E., Kreider, H., Vaughan, M., Dearing, E., Hencke, R, & Pinto, K. (2003). Making it work: Low-income working mothers involvement in their children's education. American Educational Research Journal, 40(4), 879-901.
- Wehlburg, C. (1996). The future of high school: The importance of parent involvement programs. The High School Journal, 79(2), 125-128.