Content based data retrieval on KNN- classification and cluster analysis for data mining

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Content based data retrieval on KNN- classification and cluster analysis for data mining

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Abstract

Data mining is sorting through data to identify patterns and establish relationships.Data mining parameters include: Regression -In statistics, regression analysisincludes any techniques for modeling and analyzing several variables, when the focus is on the relationship between a dependent variable and one or more independent variables. Sequence or path analysis -looking for patterns where one event leads to another later event. Classification -looking for new patterns. Clustering -finding and visually documenting groups. Decision Trees -Decision trees are commonly used in operations research, specifically in decision analysis, to help identify a strategy most likely to reach a goal.

References

3 Cites in Article
  1. Zhang Jinshu,Xu Bofeng,Xin (2006). Advances in Machine Learning Based Text Categorization.
  2. Ma Jinna (2006). Study on Categorization Algorithm of Chinese Text.
  3. Wang Jianhui,Wang Hongwei,Hu Shen Zhan,Yunfa A Simple and Efficient Algorithm to Classify.

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

H K Sawant. 1970. "Content based data retrieval on KNN- classification and cluster analysis for data mining". Global Journal of Computer Science and Technology GJCST Volume 12 (GJCST Volume 12 Issue 5).

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords
Classification
GJCST Classification I.5.3
Version of record

v1.2

Issue date
March 7, 2012

Language
English
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Content based data retrieval on KNN- classification and cluster analysis for data mining

H Sawant
H Sawant BVU
H Sawant
H Sawant