Data Mining And Knowledge Discovery Technologies

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Data Mining and Knowledge Discovery Technologies

Taniar, David
Data Mining and Knowledge Discovery Technologies Book PDF

Author : Taniar, David
Publisher : IGI Global
Page : 380 pages
File Size : 46,9 Mb
Release : 2008-01-31
Category : Computers
ISBN : 9781599049618

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Data Mining and Knowledge Discovery Technologies by Taniar, David Pdf

As information technology continues to advance in massive increments, the bank of information available from personal, financial, and business electronic transactions and all other electronic documentation and data storage is growing at an exponential rate. With this wealth of information comes the opportunity and necessity to utilize this information to maintain competitive advantage and process information effectively in real-world situations. Data Mining and Knowledge Discovery Technologies presents researchers and practitioners in fields such as knowledge management, information science, Web engineering, and medical informatics, with comprehensive, innovative research on data mining methods, structures, tools, and methods, the knowledge discovery process, and data marts, among many other cutting-edge topics.

Data Mining and Knowledge Discovery Handbook

Oded Maimon,Lior Rokach
Data Mining and Knowledge Discovery Handbook Book PDF

Author : Oded Maimon,Lior Rokach
Publisher : Springer Science & Business Media
Page : 1269 pages
File Size : 49,7 Mb
Release : 2010-09-10
Category : Computers
ISBN : 9780387098234

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Data Mining and Knowledge Discovery Handbook by Oded Maimon,Lior Rokach Pdf

This book organizes key concepts, theories, standards, methodologies, trends, challenges and applications of data mining and knowledge discovery in databases. It first surveys, then provides comprehensive yet concise algorithmic descriptions of methods, including classic methods plus the extensions and novel methods developed recently. It also gives in-depth descriptions of data mining applications in various interdisciplinary industries.

Magnetic Bubble Technology

A. H. Eschenfelder
Magnetic Bubble Technology Book PDF

Author : A. H. Eschenfelder
Publisher : Springer Science & Business Media
Page : 328 pages
File Size : 50,5 Mb
Release : 2012-12-06
Category : Technology & Engineering
ISBN : 9783642965494

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Magnetic Bubble Technology by A. H. Eschenfelder Pdf

Magnetic bubbles are of interest to engineers because their properties can be used for important practical electronic devices and they are of interest to physicists because their properties are manifestations of intriguing physical principles. At the same time, the fabrication of useful configurations challenges the materials scientists and engineers. A technology of magnetic bubbles has developed to the point where commercial products are being marketed. In addition, new discovery and development are driving this technology toward substantially lower costs and presumably broader application. For all of these reasons there is a need to educate newcomers to this field in universities and in industry. The purpose of this book is to provide a text for a one-semester course that can be taught under headings of Solid State Physics, Materials Science, Computer Technology or Integrated Electronics. It is expected that the student of anyone of these disciplines will be interested in each of the chapters of this book to some degree, but may concentrate on some more than others, depending on the discipline. At the end of each chapter there is a brief summary which will serve as a reminder of the contents of the chapter but can also be read ahead of time to determine the depth of your interest in the chapter.

Feature Selection for Knowledge Discovery and Data Mining

Huan Liu,Hiroshi Motoda
Feature Selection for Knowledge Discovery and Data Mining Book PDF

Author : Huan Liu,Hiroshi Motoda
Publisher : Springer Science & Business Media
Page : 225 pages
File Size : 54,9 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9781461556893

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Feature Selection for Knowledge Discovery and Data Mining by Huan Liu,Hiroshi Motoda Pdf

As computer power grows and data collection technologies advance, a plethora of data is generated in almost every field where computers are used. The com puter generated data should be analyzed by computers; without the aid of computing technologies, it is certain that huge amounts of data collected will not ever be examined, let alone be used to our advantages. Even with today's advanced computer technologies (e. g. , machine learning and data mining sys tems), discovering knowledge from data can still be fiendishly hard due to the characteristics of the computer generated data. Taking its simplest form, raw data are represented in feature-values. The size of a dataset can be measUJ·ed in two dimensions, number of features (N) and number of instances (P). Both Nand P can be enormously large. This enormity may cause serious problems to many data mining systems. Feature selection is one of the long existing methods that deal with these problems. Its objective is to select a minimal subset of features according to some reasonable criteria so that the original task can be achieved equally well, if not better. By choosing a minimal subset offeatures, irrelevant and redundant features are removed according to the criterion. When N is reduced, the data space shrinks and in a sense, the data set is now a better representative of the whole data population. If necessary, the reduction of N can also give rise to the reduction of P by eliminating duplicates.

Handbook of Data Mining and Knowledge Discovery

Jan M. Żytkow
Handbook of Data Mining and Knowledge Discovery Book PDF

Author : Jan M. Żytkow
Publisher : Oxford University Press, USA
Page : 1026 pages
File Size : 49,5 Mb
Release : 2002
Category : Computers
ISBN : 0195118316

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Handbook of Data Mining and Knowledge Discovery by Jan M. Żytkow Pdf

Data mining, or knowledge discovery in databases (KDD), is one of the fastest growing areas in computing application: it offers powerful tools to analyze the many large data bases used in business, science, and industry. Data mining technology searches large databases to extract information and patterns that can be translated into useful applications, such as classifying or predicting customer behavior. This book brings together fundamental knowledge on all aspects of data mining--concepts, theory, techniques, applications, and case studies. Designed for students and professionals in such fields as computing applications, information systems management and strategic research and management, the Handbook is a comprehensive guide to essential tools and technology, from neural networks to artificial intelligence. There is a strong emphasis on real-world case studies in such areas as banking, finance, marketing management, real estate, engineering, medicine, pharmacology, and the biosciences. A much needed resource on one of the fastest growing areas of computer applications--the development and use of tools to analyze, interpret, and make use of the enormous amounts of information stored in the world's databases.

Data Mining and Knowledge Discovery Technologies

Anonim
Data Mining and Knowledge Discovery Technologies Book PDF

Author : Anonim
Publisher : Unknown
Page : 369 pages
File Size : 50,5 Mb
Release : 2008
Category : Data marts
ISBN : OCLC:1014183259

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Data Mining and Knowledge Discovery Technologies by Anonim Pdf

This book presents researchers and practitioners in fields such as knowledge management, information science, Web engineering, and medical informatics, with comprehensive, innovative research on data mining methods, structures, tools, and methods, the knowledge discovery process, and data marts, among many other cutting-edge topics.

Foundations of Data Mining and Knowledge Discovery

Tsau Young Lin,Setsuo Ohsuga,Churn-Jung Liau,Xiaohua Hu,Shusaku Tsumoto
Foundations of Data Mining and Knowledge Discovery Book PDF

Author : Tsau Young Lin,Setsuo Ohsuga,Churn-Jung Liau,Xiaohua Hu,Shusaku Tsumoto
Publisher : Springer Science & Business Media
Page : 400 pages
File Size : 52,5 Mb
Release : 2005-09-02
Category : Computers
ISBN : 3540262571

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Foundations of Data Mining and Knowledge Discovery by Tsau Young Lin,Setsuo Ohsuga,Churn-Jung Liau,Xiaohua Hu,Shusaku Tsumoto Pdf

"Foundations of Data Mining and Knowledge Discovery" contains the latest results and new directions in data mining research. Data mining, which integrates various technologies, including computational intelligence, database and knowledge management, machine learning, soft computing, and statistics, is one of the fastest growing fields in computer science. Although many data mining techniques have been developed, further development of the field requires a close examination of its foundations. This volume presents the results of investigations into the foundations of the discipline, and represents the state of the art for much of the current research. This book will prove extremely valuable and fruitful for data mining researchers, no matter whether they would like to uncover the fundamental principles behind data mining, or apply the theories to practical applications.

Data Mining and Knowledge Discovery Handbook

Oded Maimon,Lior Rokach
Data Mining and Knowledge Discovery Handbook Book PDF

Author : Oded Maimon,Lior Rokach
Publisher : Springer Science & Business Media
Page : 1378 pages
File Size : 40,5 Mb
Release : 2006-05-28
Category : Computers
ISBN : 9780387254654

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Data Mining and Knowledge Discovery Handbook by Oded Maimon,Lior Rokach Pdf

Data Mining and Knowledge Discovery Handbook organizes all major concepts, theories, methodologies, trends, challenges and applications of data mining (DM) and knowledge discovery in databases (KDD) into a coherent and unified repository. This book first surveys, then provides comprehensive yet concise algorithmic descriptions of methods, including classic methods plus the extensions and novel methods developed recently. This volume concludes with in-depth descriptions of data mining applications in various interdisciplinary industries including finance, marketing, medicine, biology, engineering, telecommunications, software, and security. Data Mining and Knowledge Discovery Handbook is designed for research scientists and graduate-level students in computer science and engineering. This book is also suitable for professionals in fields such as computing applications, information systems management, and strategic research management.

Emerging Technologies in Knowledge Discovery and Data Mining

Takashi Washio,Zhi-Hua Zhou,Joshua Zhexue Huang,Xiaohua (Tony) Hu,Jinyan Li,Chao Xie,Jieyue He,Deqing Zou,Kuan-Ching Li,Mario M. Freire
Emerging Technologies in Knowledge Discovery and Data Mining Book PDF

Author : Takashi Washio,Zhi-Hua Zhou,Joshua Zhexue Huang,Xiaohua (Tony) Hu,Jinyan Li,Chao Xie,Jieyue He,Deqing Zou,Kuan-Ching Li,Mario M. Freire
Publisher : Springer Science & Business Media
Page : 688 pages
File Size : 42,8 Mb
Release : 2007-12-14
Category : Computers
ISBN : 9783540770169

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Emerging Technologies in Knowledge Discovery and Data Mining by Takashi Washio,Zhi-Hua Zhou,Joshua Zhexue Huang,Xiaohua (Tony) Hu,Jinyan Li,Chao Xie,Jieyue He,Deqing Zou,Kuan-Ching Li,Mario M. Freire Pdf

This book constitutes the thoroughly refereed post-proceedings of three workshops and an industrial track held in conjunction with the 11th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2007, held in Nanjing, China in May 2007. The 62 revised full papers presented together with an overview article to each workshop were carefully reviewed and selected from 355 submissions.

Research and Trends in Data Mining Technologies and Applications

Taniar, David
Research and Trends in Data Mining Technologies and Applications Book PDF

Author : Taniar, David
Publisher : IGI Global
Page : 340 pages
File Size : 55,7 Mb
Release : 2006-10-31
Category : Computers
ISBN : 9781599042732

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Research and Trends in Data Mining Technologies and Applications by Taniar, David Pdf

Activities in data warehousing and mining are constantly emerging. Data mining methods, algorithms, online analytical processes, data mart and practical issues consistently evolve, providing a challenge for professionals in the field. Research and Trends in Data Mining Technologies and Applications focuses on the integration between the fields of data warehousing and data mining, with emphasis on the applicability to real-world problems. This book provides an international perspective, highlighting solutions to some of researchers' toughest challenges. Developments in the knowledge discovery process, data models, structures, and design serve as answers and solutions to these emerging challenges.

Advances in Knowledge Discovery and Data Mining

Usama M. Fayyad
Advances in Knowledge Discovery and Data Mining Book PDF

Author : Usama M. Fayyad
Publisher : Unknown
Page : 638 pages
File Size : 53,6 Mb
Release : 1996
Category : Computers
ISBN : UOM:39015037286955

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Advances in Knowledge Discovery and Data Mining by Usama M. Fayyad Pdf

Eight sections of this book span fundamental issues of knowledge discovery, classification and clustering, trend and deviation analysis, dependency derivation, integrated discovery systems, augumented database systems and application case studies. The appendices provide a list of terms used in the literature of the field of data mining and knowledge discovery in databases, and a list of online resources for the KDD researcher.

Improving Knowledge Discovery through the Integration of Data Mining Techniques

Usman, Muhammad
Improving Knowledge Discovery through the Integration of Data Mining Techniques Book PDF

Author : Usman, Muhammad
Publisher : IGI Global
Page : 392 pages
File Size : 44,7 Mb
Release : 2015-08-03
Category : Computers
ISBN : 9781466685147

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Improving Knowledge Discovery through the Integration of Data Mining Techniques by Usman, Muhammad Pdf

Data warehousing is an important topic that is of interest to both the industry and the knowledge engineering research communities. Both data mining and data warehousing technologies have similar objectives and can potentially benefit from each other’s methods to facilitate knowledge discovery. Improving Knowledge Discovery through the Integration of Data Mining Techniques provides insight concerning the integration of data mining and data warehousing for enhancing the knowledge discovery process. Decision makers, academicians, researchers, advanced-level students, technology developers, and business intelligence professionals will find this book useful in furthering their research exposure to relevant topics in knowledge discovery.

Next Generation of Data Mining

Hillol Kargupta,Jiawei Han,Philip S. Yu,Rajeev Motwani,Vipin Kumar
Next Generation of Data Mining Book PDF

Author : Hillol Kargupta,Jiawei Han,Philip S. Yu,Rajeev Motwani,Vipin Kumar
Publisher : CRC Press
Page : 640 pages
File Size : 47,6 Mb
Release : 2008-12-24
Category : Computers
ISBN : 9781420085877

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Next Generation of Data Mining by Hillol Kargupta,Jiawei Han,Philip S. Yu,Rajeev Motwani,Vipin Kumar Pdf

Drawn from the US National Science Foundation's Symposium on Next Generation of Data Mining and Cyber-Enabled Discovery for Innovation (NGDM 07), Next Generation of Data Mining explores emerging technologies and applications in data mining as well as potential challenges faced by the field.Gathering perspectives from top experts across different di

Intelligent Technologies for Information Analysis

Ning Zhong,Jiming Liu
Intelligent Technologies for Information Analysis Book PDF

Author : Ning Zhong,Jiming Liu
Publisher : Springer Science & Business Media
Page : 724 pages
File Size : 52,7 Mb
Release : 2013-03-14
Category : Computers
ISBN : 9783662079522

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Intelligent Technologies for Information Analysis by Ning Zhong,Jiming Liu Pdf

Intelligent Information Technology (iiT) encompasses the theories and ap plications of artificial intelligence, statistical pattern recognition, learning theory, data warehousing, data mining and knowledge discovery, Grid com puting, and autonomous agents and multi-agent systems in the context of today's as well as future IT, such as Electronic Commerce (EC), Business Intelligence (BI), Social Intelligence (SI), Web Intelligence (WI), Knowledge Grid (KG), and Knowledge Community (KC), among others. The multi-author monograph presents the current state of the research and development in intelligent technologies for information analysis, in par ticular, advances in agents, data mining, and learning theory, from both the oretical and application aspects. It investigates the future of information technology (IT) from a new intelligent IT (iiT) perspective, and highlights major iiT-related topics by structuring an introductory chapter and 22 sur vey/research chapters into 5 parts: (1) emerging data mining technology, (2) data mining for Web intelligence, (3) emerging agent technology, ( 4) emerging soft computing technology, and (5) statistical learning theory. Each chapter includes the original work of the author(s) as well as a comprehensive survey related to the chapter's topic. This book will become a valuable source of reference for R&D profession als active in advanced intelligent information technologies. Students as well as IT professionals and ambitious practitioners concerned with advanced in telligent information technologies will appreciate the book as a useful text enhanced by numerous illustrations and examples.

Knowledge Discovery Practices and Emerging Applications of Data Mining: Trends and New Domains

Kumar, A.V. Senthil
Knowledge Discovery Practices and Emerging Applications of Data Mining Trends and New Domains Book PDF

Author : Kumar, A.V. Senthil
Publisher : IGI Global
Page : 414 pages
File Size : 52,9 Mb
Release : 2010-08-31
Category : Computers
ISBN : 9781609600693

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Knowledge Discovery Practices and Emerging Applications of Data Mining: Trends and New Domains by Kumar, A.V. Senthil Pdf

Knowledge Discovery Practices and Emerging Applications of Data Mining: Trends and New Domains introduces the reader to recent research activities in the field of data mining. This book covers association mining, classification, mobile marketing, opinion mining, microarray data mining, internet mining and applications of data mining on biological data, telecommunication and distributed databases, among others, while promoting understanding and implementation of data mining techniques in emerging domains.