Foundations And Novel Approaches In Data Mining

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Foundations and Novel Approaches in Data Mining

Tsau Young Lin,Setsuo Ohsuga,Churn-Jung Liau,Xiaohua Hu
Foundations and Novel Approaches in Data Mining Book PDF

Author : Tsau Young Lin,Setsuo Ohsuga,Churn-Jung Liau,Xiaohua Hu
Publisher : Springer Science & Business Media
Page : 398 pages
File Size : 51,7 Mb
Release : 2005-11-03
Category : Mathematics
ISBN : 3540283153

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Foundations and Novel Approaches in Data Mining by Tsau Young Lin,Setsuo Ohsuga,Churn-Jung Liau,Xiaohua Hu Pdf

Data-mining has become a popular research topic in recent years for the treatment of the "data rich and information poor" syndrome. Currently, application oriented engineers are only concerned with their immediate problems, which results in an ad hoc method of problem solving. Researchers, on the other hand, lack an understanding of the practical issues of data-mining for real-world problems and often concentrate on issues that are of no significance to the practitioners. In this volume, we hope to remedy problems by (1) presenting a theoretical foundation of data-mining, and (2) providing important new directions for data-mining research. A set of well respected data mining theoreticians were invited to present their views on the fundamental science of data mining. We have also called on researchers with practical data mining experiences to present new important data-mining topics.

Data Mining: Foundations and Intelligent Paradigms

Dawn E. Holmes,Lakhmi C Jain
Data Mining Foundations and Intelligent Paradigms Book PDF

Author : Dawn E. Holmes,Lakhmi C Jain
Publisher : Springer Science & Business Media
Page : 257 pages
File Size : 50,5 Mb
Release : 2011-11-09
Category : Technology & Engineering
ISBN : 9783642232411

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Data Mining: Foundations and Intelligent Paradigms by Dawn E. Holmes,Lakhmi C Jain Pdf

There are many invaluable books available on data mining theory and applications. However, in compiling a volume titled “DATA MINING: Foundations and Intelligent Paradigms: Volume 2: Core Topics including Statistical, Time-Series and Bayesian Analysis” we wish to introduce some of the latest developments to a broad audience of both specialists and non-specialists in this field.

Foundations and Advances in Data Mining

Wesley Chu,Tsau Young Lin
Foundations and Advances in Data Mining Book PDF

Author : Wesley Chu,Tsau Young Lin
Publisher : Springer Science & Business Media
Page : 360 pages
File Size : 41,8 Mb
Release : 2005-09-15
Category : Computers
ISBN : 3540250573

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Foundations and Advances in Data Mining by Wesley Chu,Tsau Young Lin Pdf

With the growing use of information technology and the recent advances in web systems, the amount of data available to users has increased exponentially. Thus, there is a critical need to understand the content of the data. As a result, data-mining has become a popular research topic in recent years for the treatment of the "data rich and information poor" syndrome. In this carefully edited volume a theoretical foundation as well as important new directions for data-mining research are presented. It brings together a set of well respected data mining theoreticians and researchers with practical data mining experiences. The presented theories will give data mining practitioners a scientific perspective in data mining and thus provide more insight into their problems, and the provided new data mining topics can be expected to stimulate further research in these important directions.

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 : 55,5 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

Data Mining: Foundations and Practice

Tsau Young Lin,Ying Xie,Anita Wasilewska,Churn-Jung Liau
Data Mining Foundations and Practice Book PDF

Author : Tsau Young Lin,Ying Xie,Anita Wasilewska,Churn-Jung Liau
Publisher : Springer
Page : 562 pages
File Size : 54,7 Mb
Release : 2008-08-17
Category : Technology & Engineering
ISBN : 9783540784883

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Data Mining: Foundations and Practice by Tsau Young Lin,Ying Xie,Anita Wasilewska,Churn-Jung Liau Pdf

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.

New Fundamental Technologies in Data Mining

Kimito Funatsu
New Fundamental Technologies in Data Mining Book PDF

Author : Kimito Funatsu
Publisher : BoD – Books on Demand
Page : 600 pages
File Size : 45,5 Mb
Release : 2011-01-21
Category : Computers
ISBN : 9789533075471

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New Fundamental Technologies in Data Mining by Kimito Funatsu Pdf

The progress of data mining technology and large public popularity establish a need for a comprehensive text on the subject. The series of books entitled by "Data Mining" address the need by presenting in-depth description of novel mining algorithms and many useful applications. In addition to understanding each section deeply, the two books present useful hints and strategies to solving problems in the following chapters. The contributing authors have highlighted many future research directions that will foster multi-disciplinary collaborations and hence will lead to significant development in the field of data mining.

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 : 48,6 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.

Foundations and Advances in Data Mining

Wesley Chu,Tsau Young Lin
Foundations and Advances in Data Mining Book PDF

Author : Wesley Chu,Tsau Young Lin
Publisher : Springer
Page : 342 pages
File Size : 47,8 Mb
Release : 2009-09-02
Category : Computers
ISBN : 3540808191

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Foundations and Advances in Data Mining by Wesley Chu,Tsau Young Lin Pdf

With the growing use of information technology and the recent advances in web systems, the amount of data available to users has increased exponentially. Thus, there is a critical need to understand the content of the data. As a result, data-mining has become a popular research topic in recent years for the treatment of the "data rich and information poor" syndrome. In this carefully edited volume a theoretical foundation as well as important new directions for data-mining research are presented. It brings together a set of well respected data mining theoreticians and researchers with practical data mining experiences. The presented theories will give data mining practitioners a scientific perspective in data mining and thus provide more insight into their problems, and the provided new data mining topics can be expected to stimulate further research in these important directions.

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 : 54,6 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 Medical Knowledge Management: Cases and Applications

Berka, Petr,Rauch, Jan,Zighed, Djamel Abdelkader
Data Mining and Medical Knowledge Management Cases and Applications Book PDF

Author : Berka, Petr,Rauch, Jan,Zighed, Djamel Abdelkader
Publisher : IGI Global
Page : 464 pages
File Size : 54,5 Mb
Release : 2009-02-28
Category : Computers
ISBN : 9781605662190

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Data Mining and Medical Knowledge Management: Cases and Applications by Berka, Petr,Rauch, Jan,Zighed, Djamel Abdelkader Pdf

The healthcare industry produces a constant flow of data, creating a need for deep analysis of databases through data mining tools and techniques resulting in expanded medical research, diagnosis, and treatment. Data Mining and Medical Knowledge Management: Cases and Applications presents case studies on applications of various modern data mining methods in several important areas of medicine, covering classical data mining methods, elaborated approaches related to mining in electroencephalogram and electrocardiogram data, and methods related to mining in genetic data. A premier resource for those involved in data mining and medical knowledge management, this book tackles ethical issues related to cost-sensitive learning in medicine and produces theoretical contributions concerning general problems of data, information, knowledge, and ontologies.

Transactions on Rough Sets VI

James F. Peters,Ivo Düntsch,Jerzy Grzymala-Busse,Ewa Orlowska,Lech Polkowski
Transactions on Rough Sets VI Book PDF

Author : James F. Peters,Ivo Düntsch,Jerzy Grzymala-Busse,Ewa Orlowska,Lech Polkowski
Publisher : Springer Science & Business Media
Page : 508 pages
File Size : 53,7 Mb
Release : 2007-03-08
Category : Computers
ISBN : 9783540711988

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Transactions on Rough Sets VI by James F. Peters,Ivo Düntsch,Jerzy Grzymala-Busse,Ewa Orlowska,Lech Polkowski Pdf

Annotation The LNCS journal Transactions on Rough Sets is devoted to the entire spectrum of rough sets related issues, from logical and mathematical foundations, through all aspects of rough set theory and its applications, such as data mining, knowledge discovery, and intelligent information processing, to relations between rough sets and other approaches to uncertainty, vagueness, and incompleteness, such as fuzzy sets and theory of evidence. Volume VI of the Transactions on Rough Sets (TRS) commemorates the life and work of Zdzislaw Pawlak (1926-2006). His legacy is rich and varied. Prof. Pawlak's research contributions have had far-reaching implications inasmuch as his works are fundamental in establishing new perspectives for scientific research in a wide spectrum of fields. This volume of the TRS presents papers that reflect the profound influence of a number of research initiatives by Professor Pawlak. In particular, this volume introduces a number of new advances in the foundations and applications of artificial intelligence, engineering, logic, mathematics, and science. These advances have significant implications in a number of research areas such as the foundations of rough sets, approximate reasoning, bioinformatics, computational intelligence, cognitive science, data mining, information systems, intelligent systems, machine intelligence, and security.

Data Mining and Machine Learning

Mohammed J. Zaki,Wagner Meira, Jr
Data Mining and Machine Learning Book PDF

Author : Mohammed J. Zaki,Wagner Meira, Jr
Publisher : Cambridge University Press
Page : 779 pages
File Size : 52,8 Mb
Release : 2020-01-30
Category : Business & Economics
ISBN : 9781108473989

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Data Mining and Machine Learning by Mohammed J. Zaki,Wagner Meira, Jr Pdf

New to the second edition of this advanced text are several chapters on regression, including neural networks and deep learning.

Action Rules Mining

Agnieszka Dardzinska
Action Rules Mining Book PDF

Author : Agnieszka Dardzinska
Publisher : Springer
Page : 103 pages
File Size : 53,9 Mb
Release : 2012-12-14
Category : Technology & Engineering
ISBN : 9783642356506

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Action Rules Mining by Agnieszka Dardzinska Pdf

We are surrounded by data, numerical, categorical and otherwise, which must to be analyzed and processed to convert it into information that instructs, answers or aids understanding and decision making. Data analysts in many disciplines such as business, education or medicine, are frequently asked to analyze new data sets which are often composed of numerous tables possessing different properties. They try to find completely new correlations between attributes and show new possibilities for users. Action rules mining discusses some of data mining and knowledge discovery principles and then describe representative concepts, methods and algorithms connected with action. The author introduces the formal definition of action rule, notion of a simple association action rule and a representative action rule, the cost of association action rule, and gives a strategy how to construct simple association action rules of a lowest cost. A new approach for generating action rules from datasets with numerical attributes by incorporating a tree classifier and a pruning step based on meta-actions is also presented. In this book we can find fundamental concepts necessary for designing, using and implementing action rules as well. Detailed algorithms are provided with necessary explanation and illustrative examples.

Foundations and Methods in Combinatorial and Statistical Data Analysis and Clustering

Israël César Lerman
Foundations and Methods in Combinatorial and Statistical Data Analysis and Clustering Book PDF

Author : Israël César Lerman
Publisher : Springer
Page : 647 pages
File Size : 51,8 Mb
Release : 2016-03-24
Category : Computers
ISBN : 9781447167938

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Foundations and Methods in Combinatorial and Statistical Data Analysis and Clustering by Israël César Lerman Pdf

This book offers an original and broad exploration of the fundamental methods in Clustering and Combinatorial Data Analysis, presenting new formulations and ideas within this very active field. With extensive introductions, formal and mathematical developments and real case studies, this book provides readers with a deeper understanding of the mutual relationships between these methods, which are clearly expressed with respect to three facets: logical, combinatorial and statistical. Using relational mathematical representation, all types of data structures can be handled in precise and unified ways which the author highlights in three stages: Clustering a set of descriptive attributes Clustering a set of objects or a set of object categories Establishing correspondence between these two dual clusterings Tools for interpreting the reasons of a given cluster or clustering are also included. Foundations and Methods in Combinatorial and Statistical Data Analysis and Clustering will be a valuable resource for students and researchers who are interested in the areas of Data Analysis, Clustering, Data Mining and Knowledge Discovery.

Foundations of Intelligent Systems

Aijun An,Stan Matwin,Zbigniew W Ras,Dominik Slezak
Foundations of Intelligent Systems Book PDF

Author : Aijun An,Stan Matwin,Zbigniew W Ras,Dominik Slezak
Publisher : Springer Science & Business Media
Page : 667 pages
File Size : 55,6 Mb
Release : 2008-05-08
Category : Computers
ISBN : 9783540681229

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Foundations of Intelligent Systems by Aijun An,Stan Matwin,Zbigniew W Ras,Dominik Slezak Pdf

This volume contains the papers selected for presentation at the 17th Inter- tional Symposium on Methodologies for Intelligent Systems (ISMIS 2008), held in York University, Toronto, Canada, May 21–23, 2008. ISMIS is a conference series started in 1986. Held twice every three years, ISMIS provides an inter- tional forum for exchanging scienti?c research and technological achievements in building intelligent systems. Its goal is to achieve a vibrant interchange - tween researchers and practitioners on fundamental and advanced issues related to intelligent systems. ISMIS 2008featureda selectionof latestresearchworkandapplicationsfrom the following areas related to intelligent systems: active media human–computer interaction, autonomic and evolutionary computation, digital libraries, intel- gent agent technology, intelligent information retrieval, intelligent information systems, intelligent language processing, knowledge representation and integ- tion, knowledge discovery and data mining, knowledge visualization, logic for arti?cial intelligence, soft computing, Web intelligence, and Web services. - searchers and developers from 29 countries submitted more than 100 full - pers to the conference. Each paper was rigorously reviewed by three committee members and external reviewers. Out of these submissions, 40% were selected as regular papers and 22% as short papers. ISMIS 2008 also featured three plenary talks given by John Mylopoulos, Jiawei Han and Michael Lowry. They spoke on their recent research in age- oriented software engineering, information network mining, and intelligent so- ware engineering tools, respectively.