Data Mining: Concepts and Algorithms
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Data mining is a process which deals with discovering patterns in large data sets. It incorporates approaches from machine learning, statistics and database systems. Data mining is a subfield of computer science and statistics. The goal of data mining is to extract information patterns and knowledge from large amounts of data and transform the information into a comprehensible structure. The term is frequently applied to any form of large-scale data or information processing, as well as any application of computer decision support system (DSS). In data mining, large quantities of data is analy...
Data mining is a process which deals with discovering patterns in large data sets. It incorporates approaches from machine learning, statistics and database systems. Data mining is a subfield of computer science and statistics. The goal of data mining is to extract information patterns and knowledge from large amounts of data and transform the information into a comprehensible structure. The term is frequently applied to any form of large-scale data or information processing, as well as any application of computer decision support system (DSS). In data mining, large quantities of data is analyzed to extract previously unknown, interesting patterns such as groups of data records, unusual records, and dependencies. This book elucidates the concepts and innovative models around prospective developments with respect to data mining. It will also provide interesting topics for research which interested readers can take up. The book aims to equip students and experts with the advanced topics and upcoming concepts in this area.
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