Computational Intelligence In Data Mining Volume 2 PDF Download

Computational Intelligence in Data Mining   Volume 2 PDF
Author: Lakhmi C. Jain
Publisher: Springer
ISBN: 8132222083
Size: 35.80 MB
Format: PDF, Mobi
Category : Computers
Languages : en
Pages : 707
View: 5438

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Computational Intelligence In Data Mining Volume 2 Book Description:

The contributed volume aims to explicate and address the difficulties and challenges that of seamless integration of the two core disciplines of computer science, i.e., computational intelligence and data mining. Data Mining aims at the automatic discovery of underlying non-trivial knowledge from datasets by applying intelligent analysis techniques. The interest in this research area has experienced a considerable growth in the last years due to two key factors: (a) knowledge hidden in organizations’ databases can be exploited to improve strategic and managerial decision-making; (b) the large volume of data managed by organizations makes it impossible to carry out a manual analysis. The book addresses different methods and techniques of integration for enhancing the overall goal of data mining. The book helps to disseminate the knowledge about some innovative, active research directions in the field of data mining, machine and computational intelligence, along with some current issues and applications of related topics.

Applied Data Mining For Forecasting Using Sas PDF Download

Applied Data Mining for Forecasting Using SAS PDF
Author: Tim Rey
Publisher: SAS Institute
ISBN: 1629597996
Size: 21.26 MB
Format: PDF, ePub, Docs
Category : Computers
Languages : en
Pages : 336
View: 243

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Applied Data Mining For Forecasting Using Sas Book Description:

Applied Data Mining for Forecasting Using SAS, by Tim Rey, Arthur Kordon, and Chip Wells, introduces and describes approaches for mining large time series data sets. Written for forecasting practitioners, engineers, statisticians, and economists, the book details how to select useful candidate input variables for time series regression models in environments when the number of candidates is large, and identifies the correlation structure between selected candidate inputs and the forecast variable.

Data Mining Text Mining Visual Mining Olap 2 PDF Download

                                                  Data Mining  Text Mining  Visual Mining  OLAP  2         PDF
Author: Барсегян А.
Publisher: БХВ-Петербург
ISBN: 5941579918
Size: 64.38 MB
Format: PDF, Mobi
Category : Education
Languages : ru
Pages : 384
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Data Mining Text Mining Visual Mining Olap 2 Book Description:

Книга является вторым, обновленным и дополненным, изданием учебного пособия Методы и модели анализа данных: OLAP и Data Mining. Излагаются основные направления в области разработки корпоративных систем: организация хранилищ данных, распределенный, оперативный (OLAP), интеллектуальный (Data Mining), визуальный (Visual Mining) и текстовый (Text Mining) анализ данных. Приведено описание методов и алгоритмов решения основных задач анализа: классификации, кластеризации и др. Описание идеи каждого метода дополняется конкретным примером его применения. Прилагается компактдиск, содержащий стандарты Data Mining, библиотеку алгоритмов Xelopes, лабораторный практикум по интеллектуальному анализу данных и соответствующее программное обеспечение. Файлы для книги можно скачать по ссылке ftp://ftp.bhv.ru/9785941579914.zip

Handbook Of Granular Computing PDF Download

Handbook of Granular Computing PDF
Author: Witold Pedrycz
Publisher: John Wiley & Sons
ISBN: 0470724153
Size: 66.36 MB
Format: PDF, Kindle
Category : Technology & Engineering
Languages : en
Pages : 1148
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Handbook Of Granular Computing Book Description:

Although the notion is a relatively recent one, the notions and principles of Granular Computing (GrC) have appeared in a different guise in many related fields including granularity in Artificial Intelligence, interval computing, cluster analysis, quotient space theory and many others. Recent years have witnessed a renewed and expanding interest in the topic as it begins to play a key role in bioinformatics, e-commerce, machine learning, security, data mining and wireless mobile computing when it comes to the issues of effectiveness, robustness and uncertainty. The Handbook of Granular Computing offers a comprehensive reference source for the granular computing community, edited by and with contributions from leading experts in the field. Includes chapters covering the foundations of granular computing, interval analysis and fuzzy set theory; hybrid methods and models of granular computing; and applications and case studies. Divided into 5 sections: Preliminaries, Fundamentals, Methodology and Algorithms, Development of Hybrid Models and Applications and Case Studies. Presents the flow of ideas in a systematic, well-organized manner, starting with the concepts and motivation and proceeding to detailed design that materializes in specific algorithms, applications and case studies. Provides the reader with a self-contained reference that includes all pre-requisite knowledge, augmented with step-by-step explanations of more advanced concepts. The Handbook of Granular Computing represents a significant and valuable contribution to the literature and will appeal to a broad audience including researchers, students and practitioners in the fields of Computational Intelligence, pattern recognition, fuzzy sets and neural networks, system modelling, operations research and bioinformatics.

Data Mining For Business Applications PDF Download

Data Mining for Business Applications PDF
Author: Longbing Cao
Publisher: Springer Science & Business Media
ISBN: 0387794204
Size: 46.30 MB
Format: PDF, Kindle
Category : Computers
Languages : en
Pages : 302
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Data Mining For Business Applications Book Description:

Data Mining for Business Applications presents the state-of-the-art research and development outcomes on methodologies, techniques, approaches and successful applications in the area. The contributions mark a paradigm shift from “data-centered pattern mining” to “domain driven actionable knowledge discovery” for next-generation KDD research and applications. The contents identify how KDD techniques can better contribute to critical domain problems in theory and practice, and strengthen business intelligence in complex enterprise applications. The volume also explores challenges and directions for future research and development in the dialogue between academia and business.

Data Mining Foundations And Practice PDF Download

Data Mining  Foundations and Practice PDF
Author: Tsau Young Lin
Publisher: Springer Science & Business Media
ISBN: 354078487X
Size: 19.63 MB
Format: PDF, ePub, Mobi
Category : Mathematics
Languages : en
Pages : 562
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Data Mining Foundations And Practice Book Description:

The IEEE ICDM 2004 workshop on the Foundation of Data Mining and the IEEE ICDM 2005 workshop on the Foundation of Semantic Oriented Data and Web Mining focused on topics ranging from the foundations of data mining to new data mining paradigms. The workshops brought together both data mining researchers and practitioners to discuss these two topics while seeking solutions to long standing data mining problems and stimul- ing new data mining research directions. We feel that the papers presented at these workshops may encourage the study of data mining as a scienti?c ?eld and spark new communications and collaborations between researchers and practitioners. Toexpressthevisionsforgedintheworkshopstoawiderangeofdatam- ing researchers and practitioners and foster active participation in the study of foundations of data mining, we edited this volume by involving extended and updated versions of selected papers presented at those workshops as well as some other relevant contributions. The content of this book includes st- ies of foundations of data mining from theoretical, practical, algorithmical, and managerial perspectives. The following is a brief summary of the papers contained in this book.

Intelligent Data Engineering And Automated Learning Ideal 2000 Data Mining Financial Engineering And Intelligent Agents PDF Download

Intelligent Data Engineering and Automated Learning   IDEAL 2000  Data Mining  Financial Engineering  and Intelligent Agents PDF
Author: China) IDEAL 2000 (2000 : Hong Kong
Publisher: Springer Science & Business Media
ISBN: 3540414509
Size: 77.53 MB
Format: PDF, ePub, Docs
Category : Business & Economics
Languages : en
Pages : 573
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Intelligent Data Engineering And Automated Learning Ideal 2000 Data Mining Financial Engineering And Intelligent Agents Book Description:

This book constitutes the refereed proceedings of the Second International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2000, held in Shatin, N.T., Hong Kong, China in December 2000. The 81 revised papers presented were carefully reviewed and selected from numerous submissions. The book is divided in topical sections on data mining and automated learning, financial engineering, intelligent agents, Internet applications, multimedia processing, and genetic programming.

Advanced Data Mining And Applications PDF Download

Advanced Data Mining and Applications PDF
Author: Xue Li
Publisher: Springer Science & Business Media
ISBN: 3540370250
Size: 32.11 MB
Format: PDF
Category : Computers
Languages : en
Pages : 1114
View: 6545

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Advanced Data Mining And Applications Book Description:

Here are the proceedings of the 2nd International Conference on Advanced Data Mining and Applications, ADMA 2006, held in Xi'an, China, August 2006. The book presents 41 revised full papers and 74 revised short papers together with 4 invited papers. The papers are organized in topical sections on association rules, classification, clustering, novel algorithms, multimedia mining, sequential data mining and time series mining, web mining, biomedical mining, advanced applications, and more.

Focusing Solutions For Data Mining PDF Download

Focusing Solutions for Data Mining PDF
Author: Thomas Reinartz
Publisher: Springer Science & Business Media
ISBN: 3540664297
Size: 64.75 MB
Format: PDF, ePub, Docs
Category : Computers
Languages : en
Pages : 316
View: 739

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Focusing Solutions For Data Mining Book Description:

In the first part, this book analyzes the knowledge discovery process in order to understand the relations between knowledge discovery steps and focusing. The part devoted to the development of focusing solutions opens with an analysis of the state of the art, then introduces the relevant techniques, and finally culminates in implementing a unified approach as a generic sampling algorithm, which is then integrated into a commercial data mining system. The last part evaluates specific focusing solutions in various application domains. The book provides various appendicies enhancing easy accessibility. The book presents a comprehensive introduction to focusing in the context of data mining and knowledge discovery. It is written for researchers and advanced students, as well as for professionals applying data mining and knowledge discovery techniques in practice.