Data Mining Techniques: A Review |
Author(s): |
| Gurleen Aatly , Sri Guru Granth Sahib World University; Navpreet Kaur, Sri Guru Granth Sahib World University |
Keywords: |
| H-means clustering; EM algorithm; classification; Data mining |
Abstract |
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Data-mining(DM) has become irreplaceable mechanism for the extarction and manipulation of data and for establishment of patterns for generating useful information. The data mining technique named as clustering is used for finding principal or key patterns in unsystematic and large data. The likelihood approach of clustering technique is quite often used by many researchers for classifications due to its’ being simple and easy to implement. There are many different techniques for clustering like Expectation-Maximization (EM) algorithm, the H-Means Algorithm and clustering, genetic algorithm, but there is still more need to do enhancement by using combination of different techniques for enhancing the classification process so that we can get better results. We have also reviewed different data mining and clustering techniques. |
Other Details |
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Paper ID: IJSRDV2I3531 Published in: Volume : 2, Issue : 3 Publication Date: 01/06/2014 Page(s): 884-888 |
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