Data Mining: Analysis, Algorithms and Applications
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Data mining is a branch of computer science. It has a wide scope as it integrates principles from diverse fields such as artificial intelligence, statistics, etc. It uses sophisticated algorithms and methods to create meaningful patterns out of abstract data. Anomaly detection, association rule learning, clustering, classification, regression, summarization, etc. are some techniques employed in this area. This book brings forth some of the most innovative concepts and elucidates the unexplored aspects of this field. Most of the topics introduced in this book cover new analysis, algorithms and ...
Data mining is a branch of computer science. It has a wide scope as it integrates principles from diverse fields such as artificial intelligence, statistics, etc. It uses sophisticated algorithms and methods to create meaningful patterns out of abstract data. Anomaly detection, association rule learning, clustering, classification, regression, summarization, etc. are some techniques employed in this area. This book brings forth some of the most innovative concepts and elucidates the unexplored aspects of this field. Most of the topics introduced in this book cover new analysis, algorithms and applications of data mining. It aims to equip students and experts with the advanced topics and upcoming concepts in this discipline.