A Review : Data Mining
Keywords:
Data Mining, Knowledge Discovery Database, Data Warehouse, Data Sources, ArchitectureAbstract
Data mining is a field of intersection of computer science and statistics used to discover patterns in the information bank. The main aim of the data mining process is to extract the useful information from the dossier of data and mold it into an understandable structure for future use. There are different process and techniques used to carry out data mining successfully. In this paper, we provide an overview of common knowledge discovery tasks and approaches to solve these tasks. We propose a feature classification scheme that can be used to study knowledge and data mining software.
References
- N.P. Gopalan and B. Sivaselan book on Data Mining techniques and trends published by Asoke K. Ghosh, PHI learning private limited.
- Micheline Comber’s book on Data Mining second edition published by Hill publications.
- Data mining article present at wikipedia.com
- Mr. Anderson’s article on data mining:what is data mining?
- Mr. Doug Alexander article on data mining.
- Fayyad, Usama, Gregory Piatetsky-Shapiro, Padhraic Smyth, From Data Mining to Knowledge Discovery in Databases, 1996.
- Jiawei Han, Micheline Kamber, Data Mining: Concepts and Techniques, London: Academic Press, 5, 2001.
- Kantardzic, Mehmed, Data Mining: Concepts, Models, Methods, and Algorithms, New York: John Wiley & Sons Inc publishes, 2003.
- Michael Chau, Reynold Cheng, Ben Pao, Uncertain Data Mining: A New Research Direction, Introduction, 2005.
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