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  • Broschiertes Buch

Data Mining has become one of the most active and exciting research areas in the applications of business management, marketing analysis, engineering design, science exploration, database, visualization, artificial intelligence, machine learning, pattern recognition and statistics. This book introduces new concepts to find concept-drift for categorical data using Rough set theory in an efficient manner and also deals with uncertainty information. A method for data labeling using similarity and dissimilarity measures to detect concept-drift and reducing time complexity.

Produktbeschreibung
Data Mining has become one of the most active and exciting research areas in the applications of business management, marketing analysis, engineering design, science exploration, database, visualization, artificial intelligence, machine learning, pattern recognition and statistics. This book introduces new concepts to find concept-drift for categorical data using Rough set theory in an efficient manner and also deals with uncertainty information. A method for data labeling using similarity and dissimilarity measures to detect concept-drift and reducing time complexity.
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Autorenporträt
Dr. K. Reddy Madhavi, completed M.Tech from JNTU Hyderabad and Ph.D from JNTU, Anantapur and currently working as Associate Professor of CSE, Sree Vidyanikethan Engineering College, Tirupati. She published/presented various papers in International journals/conferences like ACM, Springer, filed/published patents and published book chapters/books.