Constrained Clustering

Constrained Clustering
Title Constrained Clustering PDF eBook
Author Sugato Basu
Publisher CRC Press
Pages 472
Release 2008-08-18
Genre Computers
ISBN 9781584889977

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Since the initial work on constrained clustering, there have been numerous advances in methods, applications, and our understanding of the theoretical properties of constraints and constrained clustering algorithms. Bringing these developments together, Constrained Clustering: Advances in Algorithms, Theory, and Applications presents an extensive collection of the latest innovations in clustering data analysis methods that use background knowledge encoded as constraints. Algorithms The first five chapters of this volume investigate advances in the use of instance-level, pairwise constraints for partitional and hierarchical clustering. The book then explores other types of constraints for clustering, including cluster size balancing, minimum cluster size,and cluster-level relational constraints. Theory It also describes variations of the traditional clustering under constraints problem as well as approximation algorithms with helpful performance guarantees. Applications The book ends by applying clustering with constraints to relational data, privacy-preserving data publishing, and video surveillance data. It discusses an interactive visual clustering approach, a distance metric learning approach, existential constraints, and automatically generated constraints. With contributions from industrial researchers and leading academic experts who pioneered the field, this volume delivers thorough coverage of the capabilities and limitations of constrained clustering methods as well as introduces new types of constraints and clustering algorithms.

Encyclopedia of Machine Learning

Encyclopedia of Machine Learning
Title Encyclopedia of Machine Learning PDF eBook
Author Claude Sammut
Publisher Springer Science & Business Media
Pages 1061
Release 2011-03-28
Genre Computers
ISBN 0387307680

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This comprehensive encyclopedia, in A-Z format, provides easy access to relevant information for those seeking entry into any aspect within the broad field of Machine Learning. Most of the entries in this preeminent work include useful literature references.

Machine Learning and Data Mining in Pattern Recognition

Machine Learning and Data Mining in Pattern Recognition
Title Machine Learning and Data Mining in Pattern Recognition PDF eBook
Author Petra Perner
Publisher Springer Science & Business Media
Pages 837
Release 2009-07-21
Genre Computers
ISBN 364203070X

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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.

Medical Biometrics

Medical Biometrics
Title Medical Biometrics PDF eBook
Author David Zhang
Publisher Springer Science & Business Media
Pages 435
Release 2010-06-09
Genre Computers
ISBN 3642139221

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This volume constitutes the refereed proceedings of the Second International Conference on Medical Biometrics, ICMB 2010, held in Hong Kong, China, in June 2010.

Database Theory - ICDT 2001

Database Theory - ICDT 2001
Title Database Theory - ICDT 2001 PDF eBook
Author Jan Van den Bussche
Publisher Springer Science & Business Media
Pages 460
Release 2001-02-08
Genre Computers
ISBN 3540414568

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This book constitutes the refereed proceedings of the 8th International Conference on Database Theory, ICDT 2001, held in London, UK, in January 2001. The 26 revised full papers presented together with two invited papers were carefully reviewed and selected from 75 submissions. All current issues on database theory and the foundations of database systems are addressed. Among the topics covered are database queries, SQL, information retrieval, database logic, database mining, constraint databases, transactions, algorithmic aspects, semi-structured data, data engineering, XML, term rewriting, clustering, etc.

Integration of Constraint Programming, Artificial Intelligence, and Operations Research

Integration of Constraint Programming, Artificial Intelligence, and Operations Research
Title Integration of Constraint Programming, Artificial Intelligence, and Operations Research PDF eBook
Author Emmanuel Hebrard
Publisher Springer Nature
Pages 559
Release 2020-09-18
Genre Computers
ISBN 3030589420

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The volume LNCS 12296 constitutes the papers of the 17th International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research which will be held online in September 2020. The 32 regular papers presented together with 4 abstracts of fast-track papers were carefully reviewed and selected from a total of 72 submissions. Additionally, this volume includes the 4 abstracts and 2 invited papers by plenary speakers. The conference program also included a Master Class on the topic “Recent Advances in Optimization Paradigms and Solving Technology"

Inductive Databases and Constraint-Based Data Mining

Inductive Databases and Constraint-Based Data Mining
Title Inductive Databases and Constraint-Based Data Mining PDF eBook
Author Sašo Džeroski
Publisher Springer Science & Business Media
Pages 458
Release 2010-11-18
Genre Computers
ISBN 1441977384

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This book is about inductive databases and constraint-based data mining, emerging research topics lying at the intersection of data mining and database research. The aim of the book as to provide an overview of the state-of- the art in this novel and - citing research area. Of special interest are the recent methods for constraint-based mining of global models for prediction and clustering, the uni?cation of pattern mining approaches through constraint programming, the clari?cation of the re- tionship between mining local patterns and global models, and the proposed in- grative frameworks and approaches for inducive databases. On the application side, applications to practically relevant problems from bioinformatics are presented. Inductive databases (IDBs) represent a database view on data mining and kno- edge discovery. IDBs contain not only data, but also generalizations (patterns and models) valid in the data. In an IDB, ordinary queries can be used to access and - nipulate data, while inductive queries can be used to generate (mine), manipulate, and apply patterns and models. In the IDB framework, patterns and models become ”?rst-class citizens” and KDD becomes an extended querying process in which both the data and the patterns/models that hold in the data are queried.