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Survey on Information Retrieval and Pattern Matching for Compressed Data Size using the SVD Technique on Real Audio Dataset

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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2016
Authors:
Poonam Dhumal, S. S. Deshmukh
10.5120/ijca2016908120

Poonam Dhumal and S S Deshmukh. Article: Survey on Information Retrieval and Pattern Matching for Compressed Data Size using the SVD Technique on Real Audio Dataset. International Journal of Computer Applications 133(16):10-12, January 2016. Published by Foundation of Computer Science (FCS), NY, USA. BibTeX

@article{key:article,
	author = {Poonam Dhumal and S. S. Deshmukh},
	title = {Article: Survey on Information Retrieval and Pattern Matching for Compressed Data Size using the SVD Technique on Real Audio Dataset},
	journal = {International Journal of Computer Applications},
	year = {2016},
	volume = {133},
	number = {16},
	pages = {10-12},
	month = {January},
	note = {Published by Foundation of Computer Science (FCS), NY, USA}
}

Abstract

Due to increasing size of text and audio data over internet, various techniques are needed to help with the finding and extraction of very specific information relevant to a user's task. Text mining is a variant on a field called data mining that tries to discover curious patterns from large databases. Singular value decomposition this technique is used for dimensionality reduction of large database on Apache MAHOUT Hadoop framework. In this paper, different existing Information Retrieval, Pattern Matching, Rule Generation Algorithm is reviewed. In addition for extracting questionnaires and curiosity based sentences from large database some different implementation of the algorithms is proposed. Finally the extract user required information from large unstructured database.

References

  1. Mrs. Sayantani Ghosh, Mr. Sudipta Roy, and Prof. Samir K. Bandyopadhyay, 2012 A tutorial review on Text Mining Algorithms.
  2. Che-Rung Lee, Ya-Fang Chang, 2013 Enhancing Accuracy and Performance of Collaborative Filtering Algorithm by Stochastic SVD and Its MapReduce Implementation
  3. Suresh Fatehpuria, Ankur Goyal, 2014 A Very Unique, Fast and Efficient Approach for Pattern Matching (The Jumping Algorithm).
  4. Yunita Sari, Mohd Fadzil Hassan, Norshuhani Zamin, 2010 Rule-based Pattern Extractor and Named Entity Recognition: A Hybrid Approach.
  5. Haralampos Karanikas and Babis Theodoulidis Manchester, 2001 Knowledge Discovery in Text and Text Mining Software”, Centre for Research in.

Keywords

Apache MAHOUT; hadoop; imformation retrival; pattern matching;rule generation.