Open Access Open Access  Restricted Access Subscription Access
Open Access Open Access Open Access  Restricted Access Restricted Access Subscription Access

Presenting Search Result with Reduced Unwanted Web Addresses Using Fuzzy Based Approach


Affiliations
1 Department of Computer Applications, Sarah Tucker College, India
     

   Subscribe/Renew Journal


Big Data is now the most talked about research subject. Over the year with the internet and storage space expansions vast swaths of data are available for would be searcher. About a decade ago when a content was searched, due to minimum amount of content often you end up with accurate set of results. But nowadays most of the data, if not all are sometimes vague and not even sometime pertain to area of search it was indented to. Hence here a novel approach is presented to perform data cleaning using a simple but effective fuzzy rule to weed out data that won't produce accurate data.

Keywords

Big Data, Data Cleaning, Fuzzy Rule Based Approach, Metadata.
Subscription Login to verify subscription
User
Notifications
Font Size

  • George Suciu, Alin Geaba, Cristina Butca, Victor Suciu and Octavian Fratu, “Basic Internet Foundation”, Proceedings of International Conference on Future Access Enablers of Ubiquitous and Intelligent Infrastructures, pp. 255-262, 2015.
  • Ramesh Manuvinakurike, Wayne F. Velicer and Timothy W. Bickmore, “Automated Indexing of Internet Stories for Health Behavior Change: Weight Loss Attitude Pilot Study”, Journal of Medical Internet Research, Vol. 16, No.12, pp. 12-19, 2014.
  • Big Data and the Internet of Things, Available at: https://www.infragistics.com/community/blogs/mobileman/ archive/2015/12/15/big-data-and-the-internet-ofthings.aspx.
  • Facts about Google and Competition, Available at: http://googlecompetition.blogspot.in/.
  • Susan Dumais, Edward Cutrell, J. J. Cadiz, Gavin Jancke, Raman Sarin and Daniel C. Robbins, “Stuff I've Seen: A System for Personal Information Retrieval and Re-Use”, ACM SIGIR Forum, Vol. 49, No. 2, pp. 28-35, 2016.
  • Zhou Hao, Pu Qiumei, Zhang Hong and Sha Zhihao, “An Improved Page Rank Algorithm based on Web Content”, Proceedings of IEEE 14th International Symposium on Distributed Computing and Applications for Business Engineering and Science, pp. 28-35, 2015.
  • Deepak Kumar Ganeshiya and Dilip Kumar Sharma, “A Survey: Hyperlink Analysis in Webpage Ranking Algorithms”, Proceedings of IEEE International Conference on Soft Computing Techniques for Engineering and Technology, pp. 1-8, 2014.
  • Vikas Jindal, Seema Bawa and Shalini Batra. “A Review of Ranking Approaches for Semantic Search on Web”, Information Processing and Management, Vol. 50, No. 2, pp. 416-425, 2014.
  • Atish Das Sarma, Anisur Rahaman Molla, Gopal Pandurangan and Eli Upfal, “Fast Distributed Pagerank Computation”, Theoretical Computer Science, Vol. 561, pp.113-121, 2015.
  • Christian Borgs, Michael Brautbar, Jennifer Chayes and Shang-Hua Teng, “Multiscale Matrix Sampling and Sublinear-Time Pagerank Computation”, Internet Mathematics, Vol. 10, No. 1-2, pp. 20-48, 2014.
  • Jun Yu, Yong Rui and Dacheng Tao, “Click Prediction for Web Image Reranking using Multimodal Sparse Coding”, IEEE Transactions on Image Processing, Vol. 23, No. 5, pp.2019-2032, 2014.
  • Zhijun Yan, Meiming, Dongsong Zhangxing and Baizhang Ma, “EXPRS: An Extended Pagerank Method for Product Feature Extraction from Online Consumer Reviews”, Information and Management, Vol. 52, No. 7, pp. 850-858, 2015.
  • Rashmi Janbandhu, Prashant Dahiwale and M.M.Raghuwanshi, “Analysis of Web Crawling Algorithms”, International Journal on Recent and Innovation Trends in Computing and Communication, Vol. 2, No. 3, pp. 488-492, 2014.
  • Patricia Melin and Oscar Castillo, “A Review on Type-2 Fuzzy Logic Applications in Clustering, Classification and Pattern Recognition”, Applied Soft Computing, Vol. 21, pp.568-577, 2014.
  • Gartner, IDC, Strategy Analytics, Machina Research, company filings, BI Intelligence Estimates. Accessed on May 2017.

Abstract Views: 234

PDF Views: 5




  • Presenting Search Result with Reduced Unwanted Web Addresses Using Fuzzy Based Approach

Abstract Views: 234  |  PDF Views: 5

Authors

Nancy Jasmine Goldena
Department of Computer Applications, Sarah Tucker College, India

Abstract


Big Data is now the most talked about research subject. Over the year with the internet and storage space expansions vast swaths of data are available for would be searcher. About a decade ago when a content was searched, due to minimum amount of content often you end up with accurate set of results. But nowadays most of the data, if not all are sometimes vague and not even sometime pertain to area of search it was indented to. Hence here a novel approach is presented to perform data cleaning using a simple but effective fuzzy rule to weed out data that won't produce accurate data.

Keywords


Big Data, Data Cleaning, Fuzzy Rule Based Approach, Metadata.

References