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

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.

3540343504ISBN

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Data mining is a multidisciplinary field, drawing work from areas including## Introduction to Data Mining and its Applications : mining and data warehousing, a promising

Introduction to Data Mining and its Applications frontier in database systems, and presents a broad, yet in-depth overview of the field of data mining....

Author : S. Sumathiyet in-depth overview of the field of data mining. Data mining is a multidisciplinary field, drawing work

Publisher : Springermining. Data mining is a multidisciplinary field, drawing work from areas including database technology, artificial intelligence, machine

3540343512ISBN

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including database technology, artificial intelligence, machine learning, neural networks, statistics, pattern recognition, knowledge based systems, knowledge acquisition,## Introduction to Data Mining and its Applications : mining and data warehousing, a promising and flourishing

Introduction to Data Mining and its Applications frontier in database systems, and presents a broad, yet in-depth overview of the field...

Author : S. Sumathiyet in-depth overview of the field of data mining. Data mining is a multidisciplinary

Publisher : Springermining. Data mining is a multidisciplinary field, drawing work from areas including database technology,

9783662500804ISBN

9783662500804isbn_13

including database technology, artificial intelligence, machine learning, neural networks, statistics, pattern recognition, knowledge based## 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...

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

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

9781844808915ISBN

9781844808915isbn_13

concepts of the subject in an easy-to-understand way, but also hands on, practical instruction on## Practical Applications of Data Mining : identified and described throughout, including

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

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

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

0763785873ISBN

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various chapter examples.## Data Mining for Business Applications : state-of-the-art research and development outcomes

Data Mining for Business Applications approaches and successful applications in the area. The contributions mark a...

Author : Longbing Caocontributions mark a paradigm shift from “data-centered pattern mining” to “domain

Publisher : Springer Science & Business Mediamining” to “domain driven actionable knowledge discovery” for next-generation KDD research

0387794204ISBN

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and applications. The contents identify how KDD techniques can better contribute## Data Mining: Concepts and Techniques : concepts and techniques in processing gathered data

Data Mining: Concepts and Techniques information, which will be used in various applications. Specifically, it explains data...

Author : Jiawei HanSpecifically, it explains data mining and the tools used in discovering knowledge

Publisher : Elsevierused in discovering knowledge from the collected data. This book is referred

9780123814807ISBN

9780123814807isbn_13

referred as the knowledge discovery from data (KDD). It focuses on the## Handbook of Statistical Analysis and Data Mining Applications : applications, second edition, is a

Handbook of Statistical Analysis and Data Mining Applications book that guides business analysts, scientists, engineers and researchers, both academic and industrial, through all stages...

Author : Robert Nisbetresearchers, both academic and industrial, through all stages of data analysis, model building and implementation. The

Publisher : Elsevierof data analysis, model building and implementation. The handbook helps users discern technical and business problems,

0124166458ISBN

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discern technical and business problems, understand the strengths and weaknesses of modern data mining algorithms and## Data Mining : data mining from the fundamentals to the

Data Mining data types and their applications, capturing the wide diversity of problem domains for data mining issues. It...

Author : Charu C. Aggarwaldiversity of problem domains for data mining issues. It goes beyond the traditional focus on data mining

Publisher : SpringerIt goes beyond the traditional focus on data mining problems to introduce advanced data types such as

3319141422ISBN

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introduce advanced data types such as text, time series, discrete sequences, spatial data, graph data, and social## 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 different...

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

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

0124115209ISBN

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mining techniques across many different industries, including government, finance, insurance, medicine, scientific research and more. This book## Data Mining and Analysis : an algorithmic perspective, integrating related

Data Mining and Analysis learning and statistics....

Author : Mohammed J. Zaki Publisher : Cambridge University Press 0521766338ISBN

0521766338isbn_13

## Data Mining and Applications in Genomics : the data mining algorithms and their applications in

Data Mining and Applications in Genomics genomics, with frontier case studies based on the recent and current works at the University of...

Author : Sio-Iong Aorecent and current works at the University of Hong Kong and the Oxford University Computing Laboratory,

Publisher : Springer Science & Business MediaHong Kong and the Oxford University Computing Laboratory, University of Oxford. It provides a systematic introduction

1402089759ISBN

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It provides a systematic introduction to the use of data mining algorithms as an investigative tool