The week's pick
Random Articles
Reseach Article
Learning Data Mining Techniques
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 136 - Number 11 |
| Year of Publication: 2016 |
| Authors: Aashaykumar Dubey, Saurabh Kamath, Dhruv Kanakia |
10.5120/ijca2016908201
|
Aashaykumar Dubey, Saurabh Kamath, Dhruv Kanakia . Learning Data Mining Techniques. International Journal of Computer Applications. 136, 11 ( February 2016), 5-8. DOI=10.5120/ijca2016908201
Abstract
In the internet world data is on the rise. The data which emerges from the internet is huge and highly unstructured. This data can be arranged in sophisticated manner by applying various data mining techniques. This paper focuses on a number of data and text mining techniques. These techniques are applied in highly complex business problems to extract chunks of information from data which at first sight seem to have no meaning. In an uncertain and highly competitive business environment, efficiency and speed are not the only deciding factor for a business to excel. Apart from business in particular, data mining is applied in fields including weather forecasting, health and other fields where managing data is a top priority.
References
- Larose, D. T., “Discovering Knowledge in Data: An Introduction to Data Mining”, ISBN 0-471-66657-2, ohn Wiley & Sons, Inc., 2005.
- Tan Pang-Ning, Steinbach, M., Vipin Kumar. “Introduction to Data Mining”, Pearson Education, New Delhi, ISBN: 978-81-317-1472-0, 3rd Edition, 2009. Bernstein, A. and Provost, F., “An Intelligent Assistant for the Knowledge Discovery Process”,
- M. Craven and J. Shavlik, “Learning rules using ANN “, Proceeding of 10th International Conference on Machine Learning, pp.-73-80, July 1993.
- Lior Rokach and Oded Maimon, “Data Mining with Decision Trees: Theory and Applications (Series in Machine Perception and Artificial Intelligence)”, I SBN: 981-2771-719, World Scientific Publishing Company, 2008.
- "The comparisons of data mining techniques for the predictive accuracy of probability of default of credit card clients." Expert Systems with Applications 36(2), 2473–2480.
- Venkatadri.M and Lokanatha C. Reddy ,“A comparative study on decision tree classification algorithm in data mining” , International Journal Of Computer Applications In Engineering ,Technology And Sciences, Sept 2010.
Index Terms
Keywords