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Title Bisociative knowledge discovery : an introduction to concept, algorithms, tools, and applications / Michael R. Berthold (ed.).

Publication Info. Berlin ; New York : Springer, [2012]
©2012

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 University of Saint Joseph: Pope Pius XII Library - Internet  WORLD WIDE WEB E-BOOK Springer    Downloadable
Please click here to access this Springer resource
 University of Saint Joseph: Pope Pius XII Library - Internet  WORLD WIDE WEB E-BOOK Springer    Downloadable
Please click here to access this Springer resource
Description 1 online resource (ix, 483 pages) : illustrations.
text file PDF rda
Series Lecture notes in computer science, 1611-3349 ; 7250. Lecture notes in artificial intelligence
State-of-the-art survey
LNCS sublibrary. SL 7, Artificial intelligence
Lecture notes in computer science ; 7250. 1611-3349
Lecture notes in computer science. Lecture notes in artificial intelligence.
Lecture notes in computer science. State-of-the-art survey.
LNCS sublibrary. SL 7, Artificial intelligence.
Contents Towards Bisociative Knowledge Discovery / Michael R. Berthold -- Towards Creative Information Exploration Based on Koestler's Concept of Bisociation / Werner Dubitzky, Tobias Kötter, Oliver Schmidt and Michael R. Berthold -- From Information Networks to Bisociative Information Networks / Tobias Kötter and Michael R. Berthold -- Network Creation: Overview / Christian Borgelt -- Selecting the Links in BisoNets Generated from Document Collections / Marc Segond and Christian Borgelt -- Bridging Concept Identification for Constructing Information Networks from Text Documents / Matjaž Juršič, Borut Sluban, Bojan Cestnik, Miha Grčar and Nada Lavrač -- Discovery of Novel Term Associations in a Document Collection / Teemu Hynönen, Sébastien Mahler and Hannu Toivonen -- Cover Similarity Based Item Set Mining / Marc Segond and Christian Borgelt -- Patterns and Logic for Reasoning with Networks / Angelika Kimmig, Esther Galbrun, Hannu Toivonen and Luc De Raedt -- Network Analysis: Overview / Hannu Toivonen -- BiQL: A Query Language for Analyzing Information Networks / Anton Dries, Siegfried Nijssen and Luc De Raedt -- Review of BisoNet Abstraction Techniques / Fang Zhou, Sébastien Mahler and Hannu Toivonen -- Simplification of Networks by Edge Pruning / Fang Zhou, Sébastien Mahler and Hannu Toivonen -- Network Compression by Node and Edge Mergers / Hannu Toivonen, Fang Zhou, Aleksi Hartikainen and Atte Hinkka -- Finding Representative Nodes in Probabilistic Graphs / Laura Langohr and Hannu Toivonen -- (Missing) Concept Discovery in Heterogeneous Information Networks / Tobias Kötter and Michael R. Berthold -- Node Similarities from Spreading Activation / Kilian Thiel and Michael R. Berthold -- Towards Discovery of Subgraph Bisociations / Uwe Nagel, Kilian Thiel, Tobias Kötter, Dawid Piątek and Michael R. Berthold -- Exploration: Overview / Andreas Nürnberger -- Data Exploration for Bisociative Knowledge Discovery: A Brief Overview of Tools and Evaluation Methods / Tatiana Gossen, Marcus Nitsche, Stefan Haun and Andreas Nürnberger -- On the Integration of Graph Exploration and Data Analysis: The Creative Exploration Toolkit / Stefan Haun, Tatiana Gossen, Andreas Nürnberger, Tobias Kötter and Kilian Thiel, et al. -- Bisociative Knowledge Discovery by Literature Outlier Detection / Ingrid Petrič, Bojan Cestnik, Nada Lavrač and Tanja Urbančič -- Exploring the Power of Outliers for Cross-Domain Literature Mining / Borut Sluban, Matjaž Juršič, Bojan Cestnik and Nada Lavrač -- Bisociative Literature Mining by Ensemble Heuristics / Matjaž Juršič, Bojan Cestnik, Tanja Urbančič and Nada Lavrač -- Applications and Evaluation: Overview / Igor Mozetič and Nada Lavrač -- Biomine: A Network-Structured Resource of Biological Entities for Link Prediction / Lauri Eronen, Petteri Hintsanen and Hannu Toivonen -- Semantic Subgroup Discovery and Cross-Context Linking for Microarray Data Analysis / Igor Mozetič, Nada Lavrač, Vid Podpečan, Petra Kralj Novak and Helena Motaln, et al. -- Contrast Mining from Interesting Subgroups / Laura Langohr, Vid Podpečan, Marko Petek, Igor Mozetič and Kristina Gruden -- Link and Node Prediction in Metabolic Networks with Probabilistic Logic / Angelika Kimmig and Fabrizio Costa -- Modelling a Biological System: Network Creation by Triplet Extraction from Biological Literature / Dragana Miljkovic, Vid Podpečan, Miha Grčar, Kristina Gruden and Tjaša Stare, et al. -- Bisociative Exploration of Biological and Financial Literature Using Clustering / Oliver Schmidt, Janez Kranjc, Igor Mozetič, Paul Thompson and Werner Dubitzky -- Bisociative Discovery in Business Process Models / Trevor Martin and Hongmei He -- Bisociative Music Discovery and Recommendation / Sebastian Stober, Stefan Haun and Andreas Nürnberger.
Bibliography Includes bibliographical references and author index.
Note Online resource; title from PDF title page (SpringerLink, viewed Aug. 8, 2012).
Summary Annotation Modern knowledge discovery methods enable users to discover complex patterns of various types in large information repositories. However, the underlying assumption has always been that the data to which the methods are applied to originates from one domain. The focus of this book, and the BISON project from which the contributions are originating, is a network based integration of various types of data repositories and the development of new ways to analyse and explore the resulting gigantic information networks. Instead of finding well defined global or local patterns they wanted to find domain bridging associations which are, by definition, not well defined since they will be especially interesting if they are sparse and have not been encountered before. The 32 contributions presented in this state-of-the-art volume together with a detailed introduction to the book are organized in topical sections on bisociation; representation and network creation; network analysis; exploration; and applications and evaluation.
Local Note SpringerLink Springer Nature Open Access eBooks
Language English.
Subject Data mining.
Informatique.
Data mining. (OCoLC)fst00887946
Indexed Term Computer science.
Computer Communication Networks.
Data mining.
Artificial intelligence.
Optical pattern recognition.
Data Mining and Knowledge Discovery.
Information Systems Applications (incl. Internet)
Added Author Berthold, M. (Michael)
Other Form: Print version: Bisociative knowledge discovery. Berlin ; New York : Springer, ©2012 (DLC) 2012941862
ISBN 9783642318306 (electronic book)
3642318304 (electronic book)
Standard No. 10.1007/978-3-642-31830-6 doi
ISBN 3642318290
9783642318290
9783642318290
9783642318396
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