## Introduction to Data Mining and Its Applications : mining and data warehousing, a promising and flourishing

Introduction to Data Mining and Its Applications frontier in data base systems and new data base applications and...

Author : S. Sumathibase applications and is also designed to give a broad, yet

Publisher : Springer Science & Business Mediaa broad, yet in-depth overview of the field of data mining.

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Data mining is a multidisciplinary field, drawing work from areas including## Practical Applications of Data Mining : identified and described throughout, including clustering,

Practical Applications of Data Mining rough set theory, probability theory, neural networks, classification, and fuzzy logic. Each of these techniques...

Author : Sang C. Suhand fuzzy logic. Each of these techniques is explored with a theoretical introduction and its

Publisher : Jones & Bartlett Publishersexplored with a theoretical introduction and its effectiveness is demonstrated with various chapter examples.

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various chapter examples.## Data Mining Techniques and Applications : mining selects a mixture of data mining

Data Mining Techniques and Applications originating from statistics, machine learning and databases, and presents them in an algorithmic approach. Aimed primarily...

Author : Hongbo Dupresents them in an algorithmic approach. Aimed primarily at undergraduate readers, it presents not only the

Publisher : no definedat undergraduate readers, it presents not only the fundamental principles and concepts of the subject in

9781844808915ISBN

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concepts of the subject in an easy-to-understand way, but also hands on, practical instruction on data## Introduction to Data Mining : data mining introduction to data mining, 2nd edition

Introduction to Data Mining , gives a comprehensive overview of the background and general themes of data mining and is designed...

Author : Pang-Ning Tanand general themes of data mining and is designed to be useful to students, instructors, researchers, and

Publisher : Addison-Wesleydesigned to be useful to students, instructors, researchers, and professionals. Presented in a clear and accessible way,

9780133128901ISBN

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in a clear and accessible way, the book outlines fundamental concepts and algorithms for each topic, thus## Multimedia Data Mining : multimedia data mining: a systematic introduction to concepts

Multimedia Data Mining and Theory defines multimedia data mining, its theory, and its applications. Two of the most active researchers...

Author : Zhongfei Zhangand its applications. Two of the most active researchers in multimedia data mining explore how this young

Publisher : CRC Pressresearchers in multimedia data mining explore how this young area has rapidly developed in recent years. The

9781584889670ISBN

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rapidly developed in recent years. The book first discusses the theoretical foundations of multimedia data mining, presenting## Data Warehousing and Mining: Concepts, Methodologies, Tools, and Applications : and analyzing large datasets has emerged as a

Data Warehousing and Mining: Concepts, Methodologies, Tools, and Applications critical area of research. In the race to answer vital questions and make knowledgeable decisions, impressive amounts...

Author : Wang, Johnanswer vital questions and make knowledgeable decisions, impressive amounts of data are now being generated at a

Publisher : IGI Globalamounts of data are now being generated at a rapid pace, increasing the opportunities and challenges associated

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increasing the opportunities and challenges associated with the ability to effectively analyze this data.## INTRODUCTION TO DATA MINING WITH CASE STUDIES : for automated discovery of valuable information from

INTRODUCTION TO DATA MINING WITH CASE STUDIES accumulated data of computerized operations of enterprises. This book offers a clear and comprehensive introduction to...

Author : G. K. GUPTAbook offers a clear and comprehensive introduction to both data mining theory and practice. It is

Publisher : PHI Learning Pvt. Ltd.both data mining theory and practice. It is written primarily as a textbook for the students

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a textbook for the students of computer science, management, computer applications, and information technology. The book## Web Data Mining : web mining, which consists of two parts. the

Web Data Mining first part covers the data mining and machine learning foundations, where all the essential...

Author : Bing Liulearning foundations, where all the essential concepts and algorithms of data mining and machine

Publisher : Springer Science & Business Mediaalgorithms of data mining and machine learning are presented. The second part covers the

9783642194603ISBN

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part covers the key topics of Web mining, where Web crawling, search, social network## Introduction To Data Mining : share the journey of getting introduced

Introduction To Data Mining wonderful topic Data Mining. Personally we came across this during the process of evaluating...

Author : Chaitanya P Agrawal, Meena Agrawalthis during the process of evaluating new tools to be included in the post

Publisher : Educreation Publishingto be included in the post graduate study curricula of the University we are

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University we are working in. Soon it became a friendly affair to see the## Data Mining Applications for Empowering Knowledge Societies : of data mining, including its classification,

Data Mining Applications for Empowering Knowledge Societies and ethical issues. Provides readers with knowledge enhancing processes as well as a wide spectrum of data...

Author : Rahman, Hakikurprocesses as well as a wide spectrum of data mining applications.

Publisher : IGI Globaldata mining applications.

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## Data Mining Applications with R : great resource for researchers and professionals

Data Mining Applications with R the wide use of R, a free software environment for statistical computing and graphics, in solving...

Author : Yanchang Zhaoenvironment for statistical computing and graphics, in solving different problems in industry. R is widely used

Publisher : Academic Pressdifferent problems in industry. R is widely used in leveraging data mining techniques across many different

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mining techniques across many different industries, including government, finance, insurance, medicine, scientific research and more. This## Discovering Knowledge in Data :

Discovering Knowledge in Data ...

Author : Daniel T. Larose Publisher : John Wiley & Sons 0471687537ISBN

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