Data Mining Open Source Tools - Review

Data Mining has become the area of growing significance because it helps in analyzing data from different perspectives and summarizing it into useful information and also data mining is defined to the analysis of observational data sets to find unsuspected relationships and to summarize the data in...

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Veröffentlicht in:International journal of advanced research in computer science Jg. 5; H. 6
Hauptverfasser: Pushpalatha, C, Saravanan, V, Ranjithkumar, C
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Udaipur International Journal of Advanced Research in Computer Science 01.07.2014
Schlagworte:
Accuracy
Algorithms
Classification
Clustering
Computer programs
Computer science
Data mining
Datasets
Decision making
Decision trees
Economics
Education
Knowledge discovery
Learning
Miners
Neural networks
Statistics
Tamil Nadu India
India
ISSN:0976-5697
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Zusammenfassung:Data Mining has become the area of growing significance because it helps in analyzing data from different perspectives and summarizing it into useful information and also data mining is defined to the analysis of observational data sets to find unsuspected relationships and to summarize the data in novel ways that are both understandable and useful to the data owner. And also researcher have to applying data mining methods and algorithms in many applications. whose development is driven by strong research interests as well as urgent practical, social, and economical needs. While the last few years knowledge discovery tools have been used mainly in research environments, sophisticated software products are now rapidly emerging. In this paper we have to give survey of most used and popular data mining tools of Clementine, Rapid miner, R, SAS enterprise miner and its features. These kind of data mining tools used for prediction and analyzing data mining process and using applications are education, learning environments, statistics and etc.
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ISSN:0976-5697