Hoppa till sidans huvudinnehåll

1 089 kr

Beställningsvara. Skickas inom 5-8 vardagar. Fri frakt för medlemmar vid köp för minst 249 kr.

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.

After an introduction to the concept of data mining, the authors explain the methods for preprocessing, characterizing, and warehousing data. They then partition the data mining methods into several major tasks, introducing concepts and methods for mining frequent patterns, associations, and correlations for large data sets; data classificcation and model construction; cluster analysis; and outlier detection. Concepts and methods for deep learning are systematically introduced as one chapter. Finally, the book covers the trends, applications, and research frontiers in data mining.



  • 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
  • Addresses advanced topics in one dedicated chapter: data mining trends and research frontiers, including mining rich data types (text, spatiotemporal data, and graph/networks), data mining applications (such as sentiment analysis, truth discovery, and information propagattion), data mining methodologie and systems, and data mining and society
  • Provides a comprehensive, practical look at the concepts and techniques needed to get the most out of your data
  • Visit the author-hosted companion site, https://hanj.cs.illinois.edu/bk4/ for downloadable lecture slides and errata

Produktinformation

Tillhör följande kategorier

Hoppa över listan

Mer från samma författare

Data Mining: Know It All

Soumen Chakrabarti, Richard E. Neapolitan, Dorian Pyle, Mamdouh Refaat, Markus Schneider, Toby J. Teorey, Ian H. Witten, Earl Cox, Eibe Frank, Ralf Hartmut G�ting, Jiawei Han, Xia Jiang, Micheline Kamber, Sam S. Lightstone, Thomas P. Nadeau, Ralf Hartmut Güting, Sam S Lightstone, Thomas P Nadeau, Richard E Neapolitan, Toby J Teorey, Ian H Witten

Inbunden

829 kr

Hoppa över listan

Mer från samma serie

XML in Data Management

Peter Aiken, M. David Allen, USA) Aiken, Peter (Founder of Data Blueprint and Professor at Virginia Commonwealth University, Richmond, Virgina, USA) Allen, M. David (Data Blueprint, Richmond, Virginia

Häftad

659 kr

SQL

Michael J. Donahoo, Gregory D. Speegle, USA) Donahoo, Michael J. (Baylor University, Waco, TX, TX) Speegle, Gregory D. (Baylor University, Waco, Michael Donahoo, Gregory Speegle

Häftad

449 kr

TCP/IP Sockets in Java

Kenneth L. Calvert, Michael J. Donahoo, Kenneth L Calvert, Michael J Donahoo

Häftad

389 kr

Hoppa över listan

Du kanske också är intresserad av

The Object Data Standard

Rick Catell, R. G. G. Cattell, R. G. Cattell, Douglas K. Barry, Mark Berler, Jeff Eastman, David Jordan, Conn Russell, Olaf Schadow, Torsten Stanienda, Fernando Velez, Dr. Russell, Conn

Häftad

1 319 kr

Data Quality

Jack E. Olson, NEON Enterprise Software) Olson, Jack E. (Chief Technology Officer, Jack L. Olson

Häftad

799 kr

Querying XML

Jim Melton, Stephen Buxton, USA) Melton, Jim (Oracle Corporation, Sandy, Utah, USA) Buxton, Stephen (Director of Product Management, Mark Logic Corporation, San Mateo, California

Häftad

829 kr

SQL: 1999

Jim Melton, Alan R. Simon, USA) Melton, Jim (Oracle Corporation, Sandy, Utah

Häftad

869 kr