Introduction to data mining

Contributor(s): Tan, Pang-Ning | Steinbach, Michael | Karpante, Anuj | Vipin KumarMaterial type: TextTextPublication details: Delhi Pearson 2021Edition: 2Description: 856 pISBN: 9789354491047Subject(s): Data mining | Knowledge acquisition (Expert systems) | database managementDDC classification: 006.312 Summary: New-As a result of developments in the industry, the text contains a deeper focus on big data and includes chapter changes in response to these advances. New-This edition contains new and updated approaches to data mining, specifically among the anomaly detection section. New-An additional final chapter discusses statistical concepts in the context of data mining techniques, something not found in other textbooks. Updated-The classification chapters have been significantly changed to reflect the latest information in the industry, including a new section on deep learning and updates to the advanced classification chapter.
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New-As a result of developments in the industry, the text contains a deeper focus on big data and includes chapter changes in response to these advances.

New-This edition contains new and updated approaches to data mining, specifically among the anomaly detection section.

New-An additional final chapter discusses statistical concepts in the context of data mining techniques, something not found in other textbooks.

Updated-The classification chapters have been significantly changed to reflect the latest information in the industry, including a new section on deep learning and updates to the advanced classification chapter.

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