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

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

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

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

3540343504ISBN

3540343504isbn_13

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

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

3540343512ISBN

3540343512isbn_13

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

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

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

9783662500804ISBN

9783662500804isbn_13

including database technology, artificial intelligence, machine learning, neural networks, statistics, pattern## Data Mining Techniques and Applications : mining selects a mixture of

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

9781844808915isbn_13

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

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

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

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

0763785873ISBN

0763785873isbn_13

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

Data Mining for Business Applications approaches and successful applications in the area. The contributions mark a paradigm shift from “data-centered pattern...

Author : Longbing Caocontributions mark a paradigm shift from “data-centered pattern mining” to “domain driven actionable knowledge discovery” for

Publisher : Springer Science & Business Mediamining” to “domain driven actionable knowledge discovery” for next-generation KDD research and applications. The contents identify

0387794204ISBN

0387794204isbn_13

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

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

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

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

9780123814807ISBN

9780123814807isbn_13

referred as the knowledge discovery from data (KDD). It focuses on the feasibility,## 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

0124166458ISBN

0124166458isbn_13

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

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

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

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

3319141422ISBN

3319141422isbn_13

introduce advanced data types such as text, time series, discrete sequences, spatial data,## 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...

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

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

0124115209ISBN

0124115209isbn_13

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

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

1402089759isbn_13

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