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Data Mining: Concepts and Techniques

Release Date:- 2011-06-09

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Data Mining: Concepts and Techniques provides the concepts and techniques in processing gathered data or information, which will be used in various applications. Specifically, it explains data mining and the tools used in discovering knowledge from the..

Data Mining

Release Date:- 2011-02-03

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Data Mining: Practical Machine Learning Tools and Techniques, Third Edition, offers a thorough grounding in machine learning concepts as well as practical advice on applying machine learning tools and techniques in real-world data mining situations. This..

Data Mining

Release Date:- 2005-07-13

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Data Mining, Second Edition, describes data mining techniques and shows how they work. The book is a major revision of the first edition that appeared in 1999. While the basic core remains the same, it has been updated to reflect the changes that have..

Data Mining

Release Date:- 2011-03-10

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The knowledge discovery process is as old as Homo sapiens. Until some time ago this process was solely based on the ‘natural personal' computer provided by Mother Nature. Fortunately, in recent decades the problem has begun to be solved based on the..

Data Mining Techniques

Release Date:- 2011-03-23

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The leading introductory book on data mining, fully updated and revised! When Berry and Linoff wrote the first edition of Data Mining Techniques in the late 1990s, data mining was just starting to move out of the lab and into the office and has sinc..

Data Mining

Release Date:- 2015-04-13

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This textbook explores the different aspects of data mining from the fundamentals to the complex data types and their applications, capturing the wide diversity of problem domains for data mining issues. It goes beyond the traditional focus on data mining..

Data Mining

Release Date:- 2025-02-04

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Data Mining: Practical Machine Learning Tools and Techniques, Fifth Edition, offers a thorough grounding in machine learning concepts, along with practical advice on applying these tools and techniques in real-world data mining situations. This highly..

Data Mining

Release Date:- 2022-07-02

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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..

Data Mining

Release Date:- 2019-11-22

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This book constitutes the refereed proceedings of the 17th Australasian Conference on Data Mining, AusDM 2019, held in Adelaide, SA, Australia, in December 2019.The 20 revised full papers presented were carefully reviewed and selected from 56 submissions. The p..

Data Mining

Release Date:- 2007-10-05

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This comprehensive textbook on data mining details the unique steps of the knowledge discovery process that prescribe the sequence in which data mining projects should be performed. Data Mining offers an authoritative treatment of all development phases..

Data Mining

Release Date:- 2009-11-10

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Over the course of the last twenty years, research in data mining has seen a substantial increase in interest, attracting original contributions from various disciplines including computer science, statistics, operations research, and information systems...

Data Mining

Release Date:- 2013-07-26

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New technologies have enabled us to collect massive amounts of data in many fields. However, our pace of discovering useful information and knowledge from these data falls far behind our pace of collecting the data. Data Mining: Theories, Algorithms,..

Data Mining

Release Date:- 2019-10-23

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Presents the latest techniques for analyzing and extracting information from large amounts of data in high-dimensional data spacesThe revised and updated third edition of Data Mining contains in one volume an introduction to a systematic approach to ..

Data Mining

Release Date:- 2019-02-15

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This book constitutes the refereed proceedings of the 16th Australasian Conference on Data Mining, AusDM 2018, held in Bathurst, NSW, Australia, in November 2018.The 27 revised full papers presented together with 3 short papers were carefully revie..

Data Mining

Release Date:- 2014-01-23

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Focusing on a data-centric perspective, this book provides a complete overview of data mining: its uses, methods, current technologies, commercial products, and future challenges. Three parts divide Data Mining: Part I describes technologies for data..

Data Mining

Release Date:- 2018-04-13

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This book constitutes the refereed proceedings of the 15th Australasian Conference on Data Mining, AusDM 2017, held in Melbourne, VIC, Australia, in August 2017.The 17 revised full papers presented together with 11 research track papers and 6 appli..

Data Mining

Release Date:- 2022-12-05

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This book constitutes the refereed proceedings of the 20th Australasian Conference on Data Mining, AusDM 2022, held in Western Sydney, Australia, during December 12–15, 2022. The 17 full papers included in this book were carefully reviewed and s..

Data Mining

Release Date:- 2017-01-06

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Data Mining: A Tutorial-Based Primer, Second Edition provides a comprehensive introduction to data mining with a focus on model building and testing, as well as on interpreting and validating results. The text guides students to understand how data m..

Principles of Data Mining

Release Date:- 2007-03-06

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Data Mining, the automatic extraction of implicit and potentially useful information from data, is increasingly used in commercial, scientific and other application areas.This book explains and explores the principal techniques of Data Mining: for classif..

Data Mining Techniques

Release Date:- 2013-01-30

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Data Mining Techniques addresses all the major and latest techniques of data mining and data warehousing. It deals in detail with the latest algorithms for discovering association rules, decision trees, clustering, neural networks and genetic algorithms. The bo..

Visual Data Mining

Release Date:- 2008-07-23

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The importance of visual data mining, as a strong sub-discipline of data mining, had already been recognized in the beginning of the decade. In 2005 a panel of renowned individuals met to address the shortcomings and drawbacks of the current state of..

Descriptive Data Mining

Release Date:- 2019-05-06

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This book provides an overview of data mining methods demonstrated by software. Knowledge management involves application of human knowledge (epistemology) with the technological advances of our current society (computer systems) and big data, both in..

Data Mining Algorithms

Release Date:- 2014-11-17

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Data Mining Algorithms is a practical, technically-oriented guide to data mining algorithms that covers the most important algorithms for building classification, regression, and clustering models, as well as techniques used for attribute selection and..

Commercial Data Mining

Release Date:- 2014-01-29

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Whether you are brand new to data mining or working on your tenth predictive analytics project, Commercial Data Mining will be there for you as an accessible reference outlining the entire process and related themes. In this book, you'll learn that..

Educational Data Mining

Release Date:- 2013-11-08

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This book is devoted to the Educational Data Mining arena. It highlights works that show relevant proposals, developments, and achievements that shape trends and inspire future research. After a rigorous revision process sixteen manuscripts were a..

Realtime Data Mining

Release Date:- 2013-12-03

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Describing novel mathematical concepts for recommendation engines, Realtime Data Mining: Self-Learning Techniques for Recommendation Engines features a sound mathematical framework unifying approaches based on control and learning theori..

Data Mining

Release Date:- 2011-03-16

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Data Mining introduces in clear and simple ways how to use existing data mining methods to obtain effective solutions for a variety of management and engineering design problems.Data Mining is organised into two parts: the first provides a focused introd..

Big Data, Data Mining, and Machine Learning

Release Date:- 2014-05-07

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With big data analytics comes big insights into profitability Big data is big business. But having the data and the computational power to process it isn't nearly enough to produce meaningful results. Big Data, Data Mining, and Machine Learning: Value..

Data Mining, Southeast Asia Edition

Release Date:- 2006-04-06

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Our ability to generate and collect data has been increasing rapidly. Not only are all of our business, scientific, and government transactions now computerized, but the widespread use of digital cameras, publication tools, and bar codes also generate..

Data Mining for Business Analytics

Release Date:- 2019-10-28

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Data Mining for Business Analytics: Concepts, Techniques, and Applications in Python presents an applied approach to data mining concepts and methods, using Python software for illustrationReaders will learn how to implement a variety of popular data mining..

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