Granular Relational Data Mining

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Granular-Relational Data Mining

Piotr Hońko
Granular Relational Data Mining Book PDF

Author : Piotr Hońko
Publisher : Springer
Page : 123 pages
File Size : 52,8 Mb
Release : 2017-02-03
Category : Technology & Engineering
ISBN : 9783319527512

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Granular-Relational Data Mining by Piotr Hońko Pdf

This book provides two general granular computing approaches to mining relational data, the first of which uses abstract descriptions of relational objects to build their granular representation, while the second extends existing granular data mining solutions to a relational case. Both approaches make it possible to perform and improve popular data mining tasks such as classification, clustering, and association discovery. How can different relational data mining tasks best be unified? How can the construction process of relational patterns be simplified? How can richer knowledge from relational data be discovered? All these questions can be answered in the same way: by mining relational data in the paradigm of granular computing! This book will allow readers with previous experience in the field of relational data mining to discover the many benefits of its granular perspective. In turn, those readers familiar with the paradigm of granular computing will find valuable insights on its application to mining relational data. Lastly, the book offers all readers interested in computational intelligence in the broader sense the opportunity to deepen their understanding of the newly emerging field granular-relational data mining.

Data Mining, Rough Sets and Granular Computing

Tsau Young Lin,Yiyu Y. Yao,Lotfi A. Zadeh
Data Mining Rough Sets and Granular Computing Book PDF

Author : Tsau Young Lin,Yiyu Y. Yao,Lotfi A. Zadeh
Publisher : Physica
Page : 538 pages
File Size : 55,9 Mb
Release : 2013-11-11
Category : Computers
ISBN : 9783790817911

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Data Mining, Rough Sets and Granular Computing by Tsau Young Lin,Yiyu Y. Yao,Lotfi A. Zadeh Pdf

During the past few years, data mining has grown rapidly in visibility and importance within information processing and decision analysis. This is par ticularly true in the realm of e-commerce, where data mining is moving from a "nice-to-have" to a "must-have" status. In a different though related context, a new computing methodology called granular computing is emerging as a powerful tool for the conception, analysis and design of information/intelligent systems. In essence, data mining deals with summarization of information which is resident in large data sets, while granular computing plays a key role in the summarization process by draw ing together points (objects) which are related through similarity, proximity or functionality. In this perspective, granular computing has a position of centrality in data mining. Another methodology which has high relevance to data mining and plays a central role in this volume is that of rough set theory. Basically, rough set theory may be viewed as a branch of granular computing. However, its applications to data mining have predated that of granular computing.

Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing

Dominik Slezak,Marcin Szczuka,Ivo Duentsch,Yiyu Yao
Rough Sets Fuzzy Sets Data Mining and Granular Computing Book PDF

Author : Dominik Slezak,Marcin Szczuka,Ivo Duentsch,Yiyu Yao
Publisher : Springer
Page : 748 pages
File Size : 40,9 Mb
Release : 2005-09-19
Category : Computers
ISBN : 9783540318255

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Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing by Dominik Slezak,Marcin Szczuka,Ivo Duentsch,Yiyu Yao Pdf

This volume contains the papers selected for presentation at the 10th Int- national Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, RSFDGrC 2005, organized at the University of Regina, August 31st–September 3rd, 2005. This conference followed in the footsteps of inter- tional events devoted to the subject of rough sets, held so far in Canada, China, Japan,Poland,Sweden, and the USA. RSFDGrC achievedthe status of biennial international conference, starting from 2003 in Chongqing, China. The theory of rough sets, proposed by Zdzis law Pawlak in 1982, is a model of approximate reasoning. The main idea is based on indiscernibility relations that describe indistinguishability of objects. Concepts are represented by - proximations. In applications, rough set methodology focuses on approximate representation of knowledge derivable from data. It leads to signi?cant results in many areas such as ?nance, industry, multimedia, and medicine. The RSFDGrC conferences put an emphasis on connections between rough sets and fuzzy sets, granularcomputing, and knowledge discoveryand data m- ing, both at the level of theoretical foundations and real-life applications. In the case of this event, additional e?ort was made to establish a linkage towards a broader range of applications. We achieved it by including in the conference program the workshops on bioinformatics, security engineering, and embedded systems, as well as tutorials and sessions related to other application areas.

Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing

Guoyin Wang,Qing Liu,Yiyu Yao
Rough Sets Fuzzy Sets Data Mining and Granular Computing Book PDF

Author : Guoyin Wang,Qing Liu,Yiyu Yao
Publisher : Springer
Page : 746 pages
File Size : 46,7 Mb
Release : 2003-08-03
Category : Computers
ISBN : 9783540392057

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Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing by Guoyin Wang,Qing Liu,Yiyu Yao Pdf

This volume contains the papers selected for presentation at the 9th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing (RSFDGrC 2003) held at Chongqing University of Posts and Telecommunications, Chongqing, P.R. China, May 26–29, 2003. There were 245 submissions for RSFDGrC 2003 excluding for 2 invited keynote papers and 11 invited plenary papers. Apart from the 13 invited papers, 114 papers were accepted for RSFDGrC 2003 and were included in this volume. The acceptance rate was only 46.5%. These papers were divided into 39 regular oral presentation papers (each allotted 8 pages), 47 short oral presentation papers (each allotted 4 pages) and 28 poster presentation papers (each allotted 4 pages) on the basis of reviewer evaluations. Each paper was reviewed by three referees. The conference is a continuation and expansion of the International Workshops on Rough Set Theory and Applications. In particular, this was the ninth meeting in the series and the first international conference. The aim of RSFDGrC2003 was to bring together researchers from diverse fields of expertise in order to facilitate mutual understanding and cooperation and to help in cooperative work aimed at new hybrid paradigms. It is our great pleasure to dedicate this volume to Prof. Zdzislaw Pawlak, who first introduced the basic ideas and definitions of rough sets theory over 20 years ago.

Rough – Granular Computing in Knowledge Discovery and Data Mining

J. Stepaniuk
Rough Granular Computing in Knowledge Discovery and Data Mining Book PDF

Author : J. Stepaniuk
Publisher : Springer
Page : 162 pages
File Size : 43,8 Mb
Release : 2009-01-29
Category : Computers
ISBN : 9783540708018

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Rough – Granular Computing in Knowledge Discovery and Data Mining by J. Stepaniuk Pdf

This book covers methods based on a combination of granular computing, rough sets, and knowledge discovery in data mining (KDD). The discussion of KDD foundations based on the rough set approach and granular computing feature illustrative applications.

Advances in Computational Intelligence, Part I

Salvatore Greco,Bernadette Bouchon-Meunier,Giulianella Coletti,Mario Fedrizzi,Benedetto Matarazzo,Ronald R. Yager
Advances in Computational Intelligence Part I Book PDF

Author : Salvatore Greco,Bernadette Bouchon-Meunier,Giulianella Coletti,Mario Fedrizzi,Benedetto Matarazzo,Ronald R. Yager
Publisher : Springer
Page : 674 pages
File Size : 47,9 Mb
Release : 2012-07-20
Category : Computers
ISBN : 9783642317095

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Advances in Computational Intelligence, Part I by Salvatore Greco,Bernadette Bouchon-Meunier,Giulianella Coletti,Mario Fedrizzi,Benedetto Matarazzo,Ronald R. Yager Pdf

These four volumes (CCIS 297, 298, 299, 300) constitute the proceedings of the 14th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2012, held in Catania, Italy, in July 2012. The 258 revised full papers presented together with six invited talks were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on fuzzy machine learning and on-line modeling; computing with words and decision making; soft computing in computer vision; rough sets and complex data analysis: theory and applications; intelligent databases and information system; information fusion systems; philosophical and methodological aspects of soft computing; basic issues in rough sets; 40th anniversary of the measures of fuziness; SPS11 uncertainty in profiling systems and applications; handling uncertainty with copulas; formal methods to deal with uncertainty of many-valued events; linguistic summarization and description of data; fuzzy implications: theory and applications; sensing and data mining for teaching and learning; theory and applications of intuitionistic fuzzy sets; approximate aspects of data mining and database analytics; fuzzy numbers and their applications; information processing and management of uncertainty in knowledge-based systems; aggregation functions; imprecise probabilities; probabilistic graphical models with imprecision: theory and applications; belief function theory: basics and/or applications; fuzzy uncertainty in economics and business; new trends in De Finetti's approach; fuzzy measures and integrals; multicriteria decision making; uncertainty in privacy and security; uncertainty in the spirit of Pietro Benvenuti; coopetition; game theory; probabilistic approach.

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 : 49,5 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.

Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing

Davide Ciucci,Masahiro Inuiguchi,Yiyu Yao,Dominik Slezak,Guoyin Wang
Rough Sets Fuzzy Sets Data Mining and Granular Computing Book PDF

Author : Davide Ciucci,Masahiro Inuiguchi,Yiyu Yao,Dominik Slezak,Guoyin Wang
Publisher : Springer
Page : 412 pages
File Size : 42,6 Mb
Release : 2013-10-07
Category : Computers
ISBN : 9783642412189

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Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing by Davide Ciucci,Masahiro Inuiguchi,Yiyu Yao,Dominik Slezak,Guoyin Wang Pdf

This book constitutes the thoroughly refereed conference proceedings of the 14th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing, RSFDGrC 2013, held in Halifax, Canada in October 2013 as one of the co-located conference of the 2013 Joint Rough Set Symposium, JRS 2013. The 69 papers (including 44 regular and 25 short papers) included in the JRS proceedings (LNCS 8170 and LNCS 8171) were carefully reviewed and selected from 106 submissions. The papers in this volume cover topics such as inconsistency, incompleteness, non-determinism; fuzzy and rough hybridization; granular computing and covering-based rough sets; soft clustering; image and medical data analysis.

Time Granularities in Databases, Data Mining, and Temporal Reasoning

Claudio Bettini,Sushil Jajodia,Sean Wang
Time Granularities in Databases Data Mining and Temporal Reasoning Book PDF

Author : Claudio Bettini,Sushil Jajodia,Sean Wang
Publisher : Springer Science & Business Media
Page : 232 pages
File Size : 53,9 Mb
Release : 2013-06-29
Category : Computers
ISBN : 9783662042281

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Time Granularities in Databases, Data Mining, and Temporal Reasoning by Claudio Bettini,Sushil Jajodia,Sean Wang Pdf

Calendar and time units and specialized units, such as business days and academic years, play a major role in a wide range of information system applications. System support for reasoning about these units, called granularities, is important for the efficient design, use, and implementation of such applications. This book deals with several aspects of temporal information and provides a unifying model for granularities. Practitioners can learn about critical aspects that must be taken into account when designing and implementing databases supporting temporal information.

Relational Data Mining

Saso Dzeroski,Nada Lavrač
Relational Data Mining Book PDF

Author : Saso Dzeroski,Nada Lavrač
Publisher : Springer Science & Business Media
Page : 410 pages
File Size : 44,9 Mb
Release : 2013-04-17
Category : Computers
ISBN : 9783662045992

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Relational Data Mining by Saso Dzeroski,Nada Lavrač Pdf

As the first book devoted to relational data mining, this coherently written multi-author monograph provides a thorough introduction and systematic overview of the area. The first part introduces the reader to the basics and principles of classical knowledge discovery in databases and inductive logic programming; subsequent chapters by leading experts assess the techniques in relational data mining in a principled and comprehensive way; finally, three chapters deal with advanced applications in various fields and refer the reader to resources for relational data mining. This book will become a valuable source of reference for R&D professionals active in relational data mining. Students as well as IT professionals and ambitioned practitioners interested in learning about relational data mining will appreciate the book as a useful text and gentle introduction to this exciting new field.

Thriving Rough Sets

Guoyin Wang,Andrzej Skowron,Yiyu Yao,Dominik Ślęzak,Lech Polkowski
Thriving Rough Sets Book PDF

Author : Guoyin Wang,Andrzej Skowron,Yiyu Yao,Dominik Ślęzak,Lech Polkowski
Publisher : Springer
Page : 439 pages
File Size : 40,8 Mb
Release : 2017-04-28
Category : Technology & Engineering
ISBN : 9783319549668

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Thriving Rough Sets by Guoyin Wang,Andrzej Skowron,Yiyu Yao,Dominik Ślęzak,Lech Polkowski Pdf

This special book is dedicated to the memory of Professor Zdzisław Pawlak, the father of rough set theory, in order to commemorate both the 10th anniversary of his passing and 35 years of rough set theory. The book consists of 20 chapters distributed into four sections, which focus in turn on a historical review of Professor Zdzisław Pawlak and rough set theory; a review of the theory of rough sets; the state of the art of rough set theory; and major developments in rough set based data mining approaches. Apart from Professor Pawlak’s contributions to rough set theory, other areas he was interested in are also included. Moreover, recent theoretical studies and advances in applications are also presented. The book will offer a useful guide for researchers in Knowledge Engineering and Data Mining by suggesting new approaches to solving the problems they encounter.

Granular, Fuzzy, and Soft Computing

Tsau-Young Lin,Churn-Jung Liau,Janusz Kacprzyk
Granular Fuzzy and Soft Computing Book PDF

Author : Tsau-Young Lin,Churn-Jung Liau,Janusz Kacprzyk
Publisher : Springer Nature
Page : 936 pages
File Size : 44,5 Mb
Release : 2023-03-29
Category : Mathematics
ISBN : 9781071626283

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Granular, Fuzzy, and Soft Computing by Tsau-Young Lin,Churn-Jung Liau,Janusz Kacprzyk Pdf

The first edition of the Encyclopedia of Complexity and Systems Science (ECSS, 2009) presented a comprehensive overview of granular computing (GrC) broadly divided into several categories: Granular computing from rough set theory, Granular Computing in Database Theory, Granular Computing in Social Networks, Granular Computing and Fuzzy Set Theory, Grid/Cloud Computing, as well as general issues in granular computing. In 2011, the formal theory of GrC was established, providing an adequate infrastructure to support revolutionary new approaches to computer/data science, including the challenges presented by so-called big data. For this volume of ECSS, Second Edition, many entries have been updated to capture these new developments, together with new chapters on such topics as data clustering, outliers in data mining, qualitative fuzzy sets, and information flow analysis for security applications. Granulations can be seen as a natural and ancient methodology deeply rooted in the human mind. Many daily "things" are routinely granulated into sub "things": The topography of earth is granulated into hills, plateaus, etc., space and time are granulated into infinitesimal granules, and a circle is granulated into polygons of infinitesimal sides. Such granules led to the invention of calculus, topology and non-standard analysis. Formalization of general granulation was difficult but, as shown in this volume, great progress has been made in combing discrete and continuous mathematics under one roof for a broad range of applications in data science.

Intelligent Data Engineering and Automated Learning – IDEAL 2015

Konrad Jackowski,Robert Burduk,Krzysztof Walkowiak,Michal Wozniak,Hujun Yin
Intelligent Data Engineering and Automated Learning IDEAL 2015 Book PDF

Author : Konrad Jackowski,Robert Burduk,Krzysztof Walkowiak,Michal Wozniak,Hujun Yin
Publisher : Springer
Page : 560 pages
File Size : 44,6 Mb
Release : 2015-10-13
Category : Computers
ISBN : 9783319248349

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Intelligent Data Engineering and Automated Learning – IDEAL 2015 by Konrad Jackowski,Robert Burduk,Krzysztof Walkowiak,Michal Wozniak,Hujun Yin Pdf

This book constitutes the refereed proceedings of the 16th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2015, held in Wroclaw, Poland, in October 2015. The 64 revised full papers presented were carefully reviewed and selected from 127 submissions. These papers provided a valuable collection of recent research outcomes in data engineering and automated learning, from methodologies, frameworks, and techniques to applications. In addition to various topics such as evolutionary algorithms, neural networks, probabilistic modeling, swarm intelligent, multi-objective optimization, and practical applications in regression, classification, clustering, biological data processing, text processing, video analysis, IDEAL 2015 also featured a number of special sessions on several emerging topics such as computational intelligence for optimization of communication networks, discovering knowledge from data, simulation-driven DES-like modeling and performance evaluation, and intelligent applications in real-world problems.

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 Science & Business Media
Page : 566 pages
File Size : 53,6 Mb
Release : 1999-04-14
Category : Computers
ISBN : 9783540658665

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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

Sushmita Mitra,Tinku Acharya
Data Mining Book PDF

Author : Sushmita Mitra,Tinku Acharya
Publisher : John Wiley & Sons
Page : 423 pages
File Size : 46,9 Mb
Release : 2005-01-21
Category : Computers
ISBN : 9780471474883

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Data Mining by Sushmita Mitra,Tinku Acharya Pdf

First title to ever present soft computing approaches and their application in data mining, along with the traditional hard-computing approaches Addresses the principles of multimedia data compression techniques (for image, video, text) and their role in data mining Discusses principles and classical algorithms on string matching and their role in data mining