Data mining : principles and applications / by T V Suresh Kumar, B Eswara Reddy & Jagadish G Kallimani
Material type:
TextSeries: Chapman & Hall/CRC data mining and knowledge discovery seriesPublication details: New Delhi : Sheel Print-N-Pack, 2013Description: v, 373 p. : ill. ; 24 cmISBN: 9789382291497(pbk)Other title: Data mining : principles & applications [Cover title]Subject(s): Data mining | File organization (Computer science) | COMPUTERS / Database Management / Data MiningDDC classification: 005.741 Summary: "Clustering is a diverse topic, and the underlying algorithms depend greatly on the data domain and problem scenario. This book focuses on three primary aspects of data clustering: the core methods such as probabilistic, density-based, grid-based, and spectral clustering etc; different problem domains and scenarios such as multimedia, text, biological, categorical, network, and uncertain data as well as data streams; and different detailed insights from the clustering process because of the subjectivity of the clustering process, and the many different ways in which the same data set can be clustered"-- Provided by publisher.
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Namal Library Computer Science | 005.741 KUM-D 2013 4501 (Browse shelf (Opens below)) | Available | 0004501 |
index included
"Clustering is a diverse topic, and the underlying algorithms depend greatly on the data domain and problem scenario. This book focuses on three primary aspects of data clustering: the core methods such as probabilistic, density-based, grid-based, and spectral clustering etc; different problem domains and scenarios such as multimedia, text, biological, categorical, network, and uncertain data as well as data streams; and different detailed insights from the clustering process because of the subjectivity of the clustering process, and the many different ways in which the same data set can be clustered"-- Provided by publisher.
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