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Jyothi, V. L.
- Context-based Classification of XML Documents in Feature Clustering
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Authors
Affiliations
1 Department of Computer Science and Engineering, Sathyabama University, Chennai, IN
2 Department of Computer Science and Engineering, Jeppiaar Engineering College,Chennai, IN
1 Department of Computer Science and Engineering, Sathyabama University, Chennai, IN
2 Department of Computer Science and Engineering, Jeppiaar Engineering College,Chennai, IN
Source
Indian Journal of Science and Technology, Vol 7, No 9 (2014), Pagination: 1355-1358Abstract
Text classification is the process of automatically sorting a set of documents into categories from a predefined set. Feature clustering is a powerful method to reduce the dimensionality of feature vectors for text classification. After pre-processing, the document can be clustered in the schema level based on the occurrence of the words relatively. Clustering process group the words based on the pattern. In proposing a feature clustering mechanism finds the pattern match with the number of relevant data present in the database.Keywords
Feature Clustering, Feature Selection, Information Retrieval, Text Mining- SSC Based RS: An Efficient Service Recommendation System for Handling Big Data Applications
Abstract Views :195 |
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Authors
Affiliations
1 Sathyabama University, Chennai -600119, Tamil Nadu, IN
2 CSE Department, Jeppiaar Engineering College, Chennai -600119, Tamil Nadu, IN
1 Sathyabama University, Chennai -600119, Tamil Nadu, IN
2 CSE Department, Jeppiaar Engineering College, Chennai -600119, Tamil Nadu, IN
Source
Indian Journal of Science and Technology, Vol 9, No 22 (2016), Pagination:Abstract
Objectives: To find an appropriate web service and reduce the time taken for introducing web service, to improve parallel processing, to reduce the complexity and to improve its scalability and efficiency in big data environment. Methods: MapReduce framework in Hadoop platform is for increase the efficiency and scalability in big data domain, SSC based RS, web service information are structured in hierarchical format. The proposed system calculates the semantic comparison between the big data applications. Findings: SSC based RS (Semantic Similarity Calculation Based Recommendation System) is used to efficiently suggest better services for the requested users, by using semantic dictionary the semantic similarity will be calculated. Here, the services are stored in the hierarchical structure will increase the recommendation process faster. An experimental result shows that our proposed algorithm provides a suitable recommended service compared to other existing approaches. Applications/Improvement: In Big Data the proposed technique improves the efficiency and scalability by applying MapReduce parallel processing standard on Hadoop environment.Keywords
Big Data, Hadoop, Map Reduce, Recommender System, Web Service.- Implementation of Getting Similarity Images using the Concept of IWSL
Abstract Views :143 |
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Authors
M. Saravanan
1,
V. L. Jyothi
2
Affiliations
1 Department of Computer Science and Engineering, Sathyabama University, Chennai - 600119, IN
2 Department of Computer Science and Engineering, Jeppiaar Engineering College, Chennai – 600119, Tamil Nadu, IN
1 Department of Computer Science and Engineering, Sathyabama University, Chennai - 600119, IN
2 Department of Computer Science and Engineering, Jeppiaar Engineering College, Chennai – 600119, Tamil Nadu, IN