## 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 is also designed to give...

Author : S. Sumathibase applications and is also designed to give a broad, yet in-depth overview of the field

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

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Data mining is a multidisciplinary field, drawing work from areas including database technology, AI, machine learning,## 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...

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

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

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

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

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

9783662500804ISBN

9783662500804isbn_13

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

Author : Hongbo Dupresents them in an algorithmic approach. Aimed primarily at undergraduate readers, it

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

9781844808915ISBN

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

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

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

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 for Business Applications : state-of-the-art research and development outcomes on methodologies,

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

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

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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 comprehensive professional

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

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

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

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

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

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

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

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introduce advanced data types such as text, time series, discrete sequences, spatial data, graph## Data Mining Applications with R : great resource for researchers and

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,

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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 concepts from machine

Data Mining and Analysis learning and statistics....

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

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

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

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

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

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