Data Mining and Knowledge Discovery in Database
International Journal of Engineering Trends and Technology (IJETT) | |
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© 2015 by IJETT Journal | ||
Volume-23 Number-2 |
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Year of Publication : 2015 | ||
Authors : Nainja Rikhi |
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DOI : 10.14445/22315381/IJETT-V23P213 |
Citation
Nainja Rikhi "Data Mining and Knowledge Discovery in Database", International Journal of Engineering Trends and Technology (IJETT), V23(2),64-70 May 2015. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group
Abstract
Knowledge discovery and data mining have become areas of growing significance because of the recent increasing demand for KDD techniques, including those used in machine learning, databases, statistics, knowledge acquisition, data visualization, and high performance computing. The motive of mining is to find a new generation of computational theories and tools to assist humans in extracting useful information (knowledge) from the rapidly growing volumes of digital data. This article provides real-world applications, specific datamining techniques, challenges involved knowledge discovery. This paper also discusses relation between Knowledge and Data Mining, and Knowledge Discovery in Database.
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Keywords
Knowledge discovery in databases, Data mining, Analysis, Information.