Data Mining : Concepts and Techniques

By:

Jiawei Han, Jian Pei and Hanghang Tong

Material type: Text

TextPublication details: New Delhi, Elsevier RELX India Pvt. Ltd ; 2023.Edition: 4th edDescription: xxiv, 752 pISBN:

978-81-312-6766-0

Subject(s):

Data Mining I MCA

DDC classification:

005.74 HAN

Summary: Data Mining: Concepts and Techniques, Fourth Edition introduces concepts, principles, and methods for mining patterns, knowledge, and models from various kinds of data for diverse applications. Specifically, it delves into the processes for uncovering patterns and knowledge from massive collections of data, known as knowledge discovery from data, or KDD. It focuses on the feasibility, usefulness, effectiveness, and scalability of data mining techniques for large data sets. Presents a comprehensive new chapter on deep learning, including improving training of deep learning models, convolutional neural networks, recurrent neural networks, and graph neural networks.

Item type:

MCA Books

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Holdings
Item type	Current library	Home library	Call number	Status	Notes	Date due	Barcode
MCA Books	Atria Institute of Technology	Atria Institute of Technology	005.74 HAN (Browse shelf(Opens below))	Available	MCA		MCA01258
MCA Books	Atria Institute of Technology	Atria Institute of Technology	005.74 HAN (Browse shelf(Opens below))	Available	MCA		MCA01259

Data Mining: Concepts and Techniques, Fourth Edition introduces concepts, principles, and methods for mining patterns, knowledge, and models from various kinds of data for diverse applications. Specifically, it delves into the processes for uncovering patterns and knowledge from massive collections of data, known as knowledge discovery from data, or KDD. It focuses on the feasibility, usefulness, effectiveness, and scalability of data mining techniques for large data sets. Presents a comprehensive new chapter on deep learning, including improving training of deep learning models, convolutional neural networks, recurrent neural networks, and graph neural networks.

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