A Way to Understand Various Patterns of Data Mining Techniques for Selected Domains
Databases
2009-11-05 v1 Information Retrieval
Abstract
This has much in common with traditional work in statistics and machine learning. However, there are important new issues which arise because of the sheer size of the data. One of the important problem in data mining is the Classification-rule learning which involves finding rules that partition given data into predefined classes. In the data mining domain where millions of records and a large number of attributes are involved, the execution time of existing algorithms can become prohibitive, particularly in interactive applications.
Cite
@article{arxiv.0911.0781,
title = {A Way to Understand Various Patterns of Data Mining Techniques for Selected Domains},
author = {Kanak Saxena and D. S Rajpoot},
journal= {arXiv preprint arXiv:0911.0781},
year = {2009}
}
Comments
6 pages IEEE format, International Journal of Computer Science and Information Security, IJCSIS 2009, ISSN 1947 5500, Impact Factor 0.423, http://sites.google.com/site/ijcsis/