Scientific Data Mining And Knowledge Discovery

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Scientific Data Mining and Knowledge Discovery

Mohamed Medhat Gaber
Scientific Data Mining and Knowledge Discovery Book PDF

Author : Mohamed Medhat Gaber
Publisher : Springer Science & Business Media
Page : 398 pages
File Size : 47,5 Mb
Release : 2009-09-19
Category : Computers
ISBN : 9783642027888

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Scientific Data Mining and Knowledge Discovery by Mohamed Medhat Gaber Pdf

Mohamed Medhat Gaber “It is not my aim to surprise or shock you – but the simplest way I can summarise is to say that there are now in the world machines that think, that learn and that create. Moreover, their ability to do these things is going to increase rapidly until – in a visible future – the range of problems they can handle will be coextensive with the range to which the human mind has been applied” by Herbert A. Simon (1916-2001) 1Overview This book suits both graduate students and researchers with a focus on discovering knowledge from scienti c data. The use of computational power for data analysis and knowledge discovery in scienti c disciplines has found its roots with the re- lution of high-performance computing systems. Computational science in physics, chemistry, and biology represents the rst step towards automation of data analysis tasks. The rational behind the developmentof computationalscience in different - eas was automating mathematical operations performed in those areas. There was no attention paid to the scienti c discovery process. Automated Scienti c Disc- ery (ASD) [1–3] represents the second natural step. ASD attempted to automate the process of theory discovery supported by studies in philosophy of science and cognitive sciences. Although early research articles have shown great successes, the area has not evolved due to many reasons. The most important reason was the lack of interaction between scientists and the automating systems.

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 : 51,5 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.

Knowledge Discovery and Data Mining

O. Maimon,M. Last
Knowledge Discovery and Data Mining Book PDF

Author : O. Maimon,M. Last
Publisher : Springer Science & Business Media
Page : 192 pages
File Size : 51,5 Mb
Release : 2000-12-31
Category : Computers
ISBN : 0792366476

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Knowledge Discovery and Data Mining by O. Maimon,M. Last Pdf

This book presents a specific and unified approach to Knowledge Discovery and Data Mining, termed IFN for Information Fuzzy Network methodology. Data Mining (DM) is the science of modelling and generalizing common patterns from large sets of multi-type data. DM is a part of KDD, which is the overall process for Knowledge Discovery in Databases. The accessibility and abundance of information today makes this a topic of particular importance and need. The book has three main parts complemented by appendices as well as software and project data that are accessible from the book's web site (http://www.eng.tau.ac.iV-maimonlifn-kdg£). Part I (Chapters 1-4) starts with the topic of KDD and DM in general and makes reference to other works in the field, especially those related to the information theoretic approach. The remainder of the book presents our work, starting with the IFN theory and algorithms. Part II (Chapters 5-6) discusses the methodology of application and includes case studies. Then in Part III (Chapters 7-9) a comparative study is presented, concluding with some advanced methods and open problems. The IFN, being a generic methodology, applies to a variety of fields, such as manufacturing, finance, health care, medicine, insurance, and human resources. The appendices expand on the relevant theoretical background and present descriptions of sample projects (including detailed results).

Data Mining Methods for Knowledge Discovery

Krzysztof J. Cios,Witold Pedrycz,Roman W. Swiniarski
Data Mining Methods for Knowledge Discovery Book PDF

Author : Krzysztof J. Cios,Witold Pedrycz,Roman W. Swiniarski
Publisher : Springer Science & Business Media
Page : 508 pages
File Size : 41,7 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9781461555896

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Data Mining Methods for Knowledge Discovery by Krzysztof J. Cios,Witold Pedrycz,Roman W. Swiniarski Pdf

Data Mining Methods for Knowledge Discovery provides an introduction to the data mining methods that are frequently used in the process of knowledge discovery. This book first elaborates on the fundamentals of each of the data mining methods: rough sets, Bayesian analysis, fuzzy sets, genetic algorithms, machine learning, neural networks, and preprocessing techniques. The book then goes on to thoroughly discuss these methods in the setting of the overall process of knowledge discovery. Numerous illustrative examples and experimental findings are also included. Each chapter comes with an extensive bibliography. Data Mining Methods for Knowledge Discovery is intended for senior undergraduate and graduate students, as well as a broad audience of professionals in computer and information sciences, medical informatics, and business information systems.

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 : 40,9 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.

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 : 48,8 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.

Knowledge Discovery and Data Mining: Challenges and Realities

Zhu, Xingquan,Davidson, Ian
Knowledge Discovery and Data Mining Challenges and Realities Book PDF

Author : Zhu, Xingquan,Davidson, Ian
Publisher : IGI Global
Page : 290 pages
File Size : 41,7 Mb
Release : 2007-04-30
Category : Computers
ISBN : 9781599042541

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Knowledge Discovery and Data Mining: Challenges and Realities by Zhu, Xingquan,Davidson, Ian Pdf

"This book provides a focal point for research and real-world data mining practitioners that advance knowledge discovery from low-quality data; it presents in-depth experiences and methodologies, providing theoretical and empirical guidance to users who have suffered from underlying low-quality data. Contributions also focus on interdisciplinary collaborations among data quality, data processing, data mining, data privacy, and data sharing"--Provided by publisher.

Data Mining

Krzysztof J. Cios,Witold Pedrycz,Roman W. Swiniarski,Lukasz Andrzej Kurgan
Data Mining Book PDF

Author : Krzysztof J. Cios,Witold Pedrycz,Roman W. Swiniarski,Lukasz Andrzej Kurgan
Publisher : Springer Science & Business Media
Page : 606 pages
File Size : 46,7 Mb
Release : 2007-10-05
Category : Computers
ISBN : 9780387367958

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Data Mining by Krzysztof J. Cios,Witold Pedrycz,Roman W. Swiniarski,Lukasz Andrzej Kurgan Pdf

This comprehensive textbook on data mining details the unique steps of the knowledge discovery process that prescribes the sequence in which data mining projects should be performed, from problem and data understanding through data preprocessing to deployment of the results. This knowledge discovery approach is what distinguishes Data Mining from other texts in this area. The book provides a suite of exercises and includes links to instructional presentations. Furthermore, it contains appendices of relevant mathematical material.

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 : 55,6 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.

Data Mining and Knowledge Discovery with Evolutionary Algorithms

Alex A. Freitas
Data Mining and Knowledge Discovery with Evolutionary Algorithms Book PDF

Author : Alex A. Freitas
Publisher : Springer Science & Business Media
Page : 272 pages
File Size : 42,8 Mb
Release : 2013-11-11
Category : Computers
ISBN : 9783662049235

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Data Mining and Knowledge Discovery with Evolutionary Algorithms by Alex A. Freitas Pdf

This book integrates two areas of computer science, namely data mining and evolutionary algorithms. Both these areas have become increasingly popular in the last few years, and their integration is currently an active research area. In general, data mining consists of extracting knowledge from data. The motivation for applying evolutionary algorithms to data mining is that evolutionary algorithms are robust search methods which perform a global search in the space of candidate solutions. This book emphasizes the importance of discovering comprehensible, interesting knowledge, which is potentially useful for intelligent decision making. The text explains both basic concepts and advanced 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 : 48,7 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.

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 : 55,9 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.

Geographic Data Mining and Knowledge Discovery

Harvey J. Miller,Jiawei Han
Geographic Data Mining and Knowledge Discovery Book PDF

Author : Harvey J. Miller,Jiawei Han
Publisher : CRC Press
Page : 486 pages
File Size : 51,7 Mb
Release : 2009-05-27
Category : Computers
ISBN : 9781420073980

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Geographic Data Mining and Knowledge Discovery by Harvey J. Miller,Jiawei Han Pdf

The Definitive Volume on Cutting-Edge Exploratory Analysis of Massive Spatial and Spatiotemporal DatabasesSince the publication of the first edition of Geographic Data Mining and Knowledge Discovery, new techniques for geographic data warehousing (GDW), spatial data mining, and geovisualization (GVis) have been developed. In addition, there has bee

Knowledge Discovery and Data Mining

Honghua Tan
Knowledge Discovery and Data Mining Book PDF

Author : Honghua Tan
Publisher : Springer Science & Business Media
Page : 798 pages
File Size : 54,7 Mb
Release : 2012-02-04
Category : Technology & Engineering
ISBN : 9783642277085

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Knowledge Discovery and Data Mining by Honghua Tan Pdf

The volume includes a set of selected papers extended and revised from the 4th International conference on Knowledge Discovery and Data Mining, March 1-2, 2011, Macau, Chin. This Volume is to provide a forum for researchers, educators, engineers, and government officials involved in the general areas of knowledge discovery and data mining and learning to disseminate their latest research results and exchange views on the future research directions of these fields. 108 high-quality papers are included in the volume.

Knowledge Discovery in the Social Sciences

Xiaoling Shu
Knowledge Discovery in the Social Sciences Book PDF

Author : Xiaoling Shu
Publisher : University of California Press
Page : 263 pages
File Size : 42,7 Mb
Release : 2020-02-04
Category : Social Science
ISBN : 9780520339996

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Knowledge Discovery in the Social Sciences by Xiaoling Shu Pdf

Knowledge Discovery in the Social Sciences helps readers find valid, meaningful, and useful information. It is written for researchers and data analysts as well as students who have no prior experience in statistics or computer science. Suitable for a variety of classes—including upper-division courses for undergraduates, introductory courses for graduate students, and courses in data management and advanced statistical methods—the book guides readers in the application of data mining techniques and illustrates the significance of newly discovered knowledge. Readers will learn to: • appreciate the role of data mining in scientific research • develop an understanding of fundamental concepts of data mining and knowledge discovery • use software to carry out data mining tasks • select and assess appropriate models to ensure findings are valid and meaningful • develop basic skills in data preparation, data mining, model selection, and validation • apply concepts with end-of-chapter exercises and review summaries