Data Mining And Knowledge Discovery Approaches Based On Rule Induction Techniques

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Data Mining and Knowledge Discovery Approaches Based on Rule Induction Techniques

Evangelos Triantaphyllou,Giovanni Felici
Data Mining and Knowledge Discovery Approaches Based on Rule Induction Techniques Book PDF

Author : Evangelos Triantaphyllou,Giovanni Felici
Publisher : Springer Science & Business Media
Page : 784 pages
File Size : 45,9 Mb
Release : 2006-09-10
Category : Computers
ISBN : 9780387342962

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Data Mining and Knowledge Discovery Approaches Based on Rule Induction Techniques by Evangelos Triantaphyllou,Giovanni Felici Pdf

This book outlines the core theory and practice of data mining and knowledge discovery (DM & KD) examining theoretical foundations for various methods, and presenting an array of examples, many drawn from real-life applications. Most theoretical developments are accompanied by extensive empirical analysis, offering a deep insight into both theoretical and practical aspects of the subject. The book presents the combined research experiences of 40 expert contributors of world renown.

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 : 51,6 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.

Data Mining and Knowledge Discovery via Logic-Based Methods

Evangelos Triantaphyllou
Data Mining and Knowledge Discovery via Logic Based Methods Book PDF

Author : Evangelos Triantaphyllou
Publisher : Springer Science & Business Media
Page : 371 pages
File Size : 44,9 Mb
Release : 2010-06-08
Category : Computers
ISBN : 9781441916303

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Data Mining and Knowledge Discovery via Logic-Based Methods by Evangelos Triantaphyllou Pdf

The importance of having ef cient and effective methods for data mining and kn- ledge discovery (DM&KD), to which the present book is devoted, grows every day and numerous such methods have been developed in recent decades. There exists a great variety of different settings for the main problem studied by data mining and knowledge discovery, and it seems that a very popular one is formulated in terms of binary attributes. In this setting, states of nature of the application area under consideration are described by Boolean vectors de ned on some attributes. That is, by data points de ned in the Boolean space of the attributes. It is postulated that there exists a partition of this space into two classes, which should be inferred as patterns on the attributes when only several data points are known, the so-called positive and negative training examples. The main problem in DM&KD is de ned as nding rules for recognizing (cl- sifying) new data points of unknown class, i. e. , deciding which of them are positive and which are negative. In other words, to infer the binary value of one more attribute, called the goal or class attribute. To solve this problem, some methods have been suggested which construct a Boolean function separating the two given sets of positive and negative training data points.

Mathematical Methods for Knowledge Discovery and Data Mining

Felici, Giovanni,Vercellis, Carlo
Mathematical Methods for Knowledge Discovery and Data Mining Book PDF

Author : Felici, Giovanni,Vercellis, Carlo
Publisher : IGI Global
Page : 394 pages
File Size : 43,9 Mb
Release : 2007-10-31
Category : Computers
ISBN : 9781599045306

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Mathematical Methods for Knowledge Discovery and Data Mining by Felici, Giovanni,Vercellis, Carlo Pdf

"This book focuses on the mathematical models and methods that support most data mining applications and solution techniques, covering such topics as association rules; Bayesian methods; data visualization; kernel methods; neural networks; text, speech, and image recognition; an invaluable resource for scholars and practitioners in the fields of biomedicine, engineering, finance, manufacturing, marketing, performance measurement, and telecommunications"--Provided by publisher.

Knowledge Discovery from Legal Databases

Andrew Stranieri,John Zeleznikow
Knowledge Discovery from Legal Databases Book PDF

Author : Andrew Stranieri,John Zeleznikow
Publisher : Springer Science & Business Media
Page : 307 pages
File Size : 52,8 Mb
Release : 2006-03-30
Category : Computers
ISBN : 9781402030376

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Knowledge Discovery from Legal Databases by Andrew Stranieri,John Zeleznikow Pdf

Knowledge Discovery from Legal Databases is the first text to describe data mining techniques as they apply to law. Law students, legal academics and applied information technology specialists are guided thorough all phases of the knowledge discovery from databases process with clear explanations of numerous data mining algorithms including rule induction, neural networks and association rules. Throughout the text, assumptions that make data mining in law quite different to mining other data are made explicit. Issues such as the selection of commonplace cases, the use of discretion as a form of open texture, transformation using argumentation concepts and evaluation and deployment approaches are discussed at length.

Methodologies for Knowledge Discovery and Data Mining

Ning Zhong,Lizhu Zhou
Methodologies for Knowledge Discovery and Data Mining Book PDF

Author : Ning Zhong,Lizhu Zhou
Publisher : Springer
Page : 540 pages
File Size : 42,8 Mb
Release : 2003-06-29
Category : Computers
ISBN : 9783540489122

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Methodologies for Knowledge Discovery and Data Mining by Ning Zhong,Lizhu Zhou Pdf

This book constitutes the refereed proceedings of the Third Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD '99, held in Beijing, China, in April 1999. The 29 revised full papers presented together with 37 short papers were carefully selected from a total of 158 submissions. The book is divided into sections on emerging KDD technology; association rules; feature selection and generation; mining in semi-unstructured data; interestingness, surprisingness, and exceptions; rough sets, fuzzy logic, and neural networks; induction, classification, and clustering; visualization; causal models and graph-based methods; agent-based and distributed data mining; and advanced topics and new methodologies.

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 : 43,8 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.

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 : 45,8 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

Robert Stahlbock,Sven F. Crone,Stefan Lessmann
Data Mining Book PDF

Author : Robert Stahlbock,Sven F. Crone,Stefan Lessmann
Publisher : Springer Science & Business Media
Page : 387 pages
File Size : 48,8 Mb
Release : 2009-11-10
Category : Computers
ISBN : 9781441912800

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Data Mining by Robert Stahlbock,Sven F. Crone,Stefan Lessmann Pdf

Over the course of the last twenty years, research in data mining has seen a substantial increase in interest, attracting original contributions from various disciplines including computer science, statistics, operations research, and information systems. Data mining supports a wide range of applications, from medical decision making, bioinformatics, web-usage mining, and text and image recognition to prominent business applications in corporate planning, direct marketing, and credit scoring. Research in information systems equally reflects this inter- and multidisciplinary approach, thereby advocating a series of papers at the intersection of data mining and information systems research. This special issue of Annals of Information Systems contains original papers and substantial extensions of selected papers from the 2007 and 2008 International Conference on Data Mining (DMIN’07 and DMIN’08, Las Vegas, NV) that have been rigorously peer-reviewed. The issue brings together topics on both information systems and data mining, and aims to give the reader a current snapshot of the contemporary research and state of the art practice in data mining.

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 : 55,5 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.

Principles of Data Mining and Knowledge Discovery

Tapio Elomaa,Heikki Mannila,Hannu Toivonen
Principles of Data Mining and Knowledge Discovery Book PDF

Author : Tapio Elomaa,Heikki Mannila,Hannu Toivonen
Publisher : Springer
Page : 514 pages
File Size : 42,8 Mb
Release : 2003-08-02
Category : Computers
ISBN : 9783540456810

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Principles of Data Mining and Knowledge Discovery by Tapio Elomaa,Heikki Mannila,Hannu Toivonen Pdf

This book constitutes the refereed proceedings of the 6th European Conference on Principles of Data Mining and Knowledge Discovery, PKDD 2002, held in Helsinki, Finland in August 2002. The 39 revised full papers presented together with 4 invited contributions were carefully reviewed and selected from numerous submissions. Among the topics covered are kernel methods, probabilistic methods, association rule mining, rough sets, sampling algorithms, pattern discovery, web text mining, meta data clustering, rule induction, information extraction, dependency detection, rare class prediction, classifier systems, text classification, temporal sequence analysis, unsupervised learning, time series analysis, medical data mining, etc.

Principles of Data Mining and Knowledge Discovery

Jan Komorowski,Jan Zytkow
Principles of Data Mining and Knowledge Discovery Book PDF

Author : Jan Komorowski,Jan Zytkow
Publisher : Springer Science & Business Media
Page : 420 pages
File Size : 46,8 Mb
Release : 1997-06-13
Category : Business & Economics
ISBN : 3540632239

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Principles of Data Mining and Knowledge Discovery by Jan Komorowski,Jan Zytkow Pdf

This book constitutes the refereed proceedings of the First European Symposium on Principles of Data Mining and Knowledge Discovery, PKDD '97, held in Trondheim, Norway, in June 1997. The volume presents a total of 38 revised full papers together with abstracts of one invited talk and four tutorials. Among the topics covered are data and knowledge representation, statistical and probabilistic methods, logic-based approaches, man-machine interaction aspects, AI contributions, high performance computing support, machine learning, automated scientific discovery, quality assessment, and applications.

Machine Learning and Data Mining in Pattern Recognition

Petra Perner
Machine Learning and Data Mining in Pattern Recognition Book PDF

Author : Petra Perner
Publisher : Springer Science & Business Media
Page : 837 pages
File Size : 52,8 Mb
Release : 2009-07-21
Category : Computers
ISBN : 9783642030703

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Machine Learning and Data Mining in Pattern Recognition by Petra Perner Pdf

There is no royal road to science, and only those who do not dread the fatiguing climb of its steep paths have a chance of gaining its luminous summits. Karl Marx A Universial Genius of the 19th Century Many scientists from all over the world during the past two years since the MLDM 2007 have come along on the stony way to the sunny summit of science and have worked hard on new ideas and applications in the area of data mining in pattern r- ognition. Our thanks go to all those who took part in this year's MLDM. We appre- ate their submissions and the ideas shared with the Program Committee. We received over 205 submissions from all over the world to the International Conference on - chine Learning and Data Mining, MLDM 2009. The Program Committee carefully selected the best papers for this year’s program and gave detailed comments on each submitted paper. There were 63 papers selected for oral presentation and 17 papers for poster presentation. The topics range from theoretical topics for classification, clustering, association rule and pattern mining to specific data-mining methods for the different multimedia data types such as image mining, text mining, video mining and Web mining. Among these topics this year were special contributions to subtopics such as attribute discre- zation and data preparation, novelty and outlier detection, and distances and simila- ties.

Data Mining and Knowledge Discovery Handbook

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

Author : Oded Z. Maimon,Oded Maimon,Lior Rokach
Publisher : Springer Science & Business Media
Page : 1436 pages
File Size : 42,7 Mb
Release : 2005
Category : Computers
ISBN : 0387244352

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

Organizes major concepts, theories, methodologies, trends, challenges and applications of data mining (DM) and knowledge discovery in databases (KDD). This book provides algorithmic descriptions of classic methods, and also suitable for professionals in fields such as computing applications, information systems management, and more.

Soft Computing for Knowledge Discovery and Data Mining

Oded Maimon,Lior Rokach
Soft Computing for Knowledge Discovery and Data Mining Book PDF

Author : Oded Maimon,Lior Rokach
Publisher : Springer Science & Business Media
Page : 431 pages
File Size : 53,5 Mb
Release : 2007-10-25
Category : Computers
ISBN : 9780387699356

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Soft Computing for Knowledge Discovery and Data Mining by Oded Maimon,Lior Rokach Pdf

Data Mining is the science and technology of exploring large and complex bodies of data in order to discover useful patterns. It is extremely important because it enables modeling and knowledge extraction from abundant data availability. This book introduces soft computing methods extending the envelope of problems that data mining can solve efficiently. It presents practical soft-computing approaches in data mining and includes various real-world case studies with detailed results.