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

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

Label
Bisociative knowledge discovery : an introduction to concept, algorithms, tools, and applications
Title
Bisociative knowledge discovery
Title remainder
an introduction to concept, algorithms, tools, and applications
Statement of responsibility
Michael R. Berthold (ed.)
Contributor
Subject
Genre
Language
eng
Summary
Annotation
Member of
Cataloging source
GW5XE
Dewey number
006.3/12
Illustrations
illustrations
Index
index present
Language note
English
LC call number
QA76.9.D343
LC item number
B57 2012
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
http://library.link/vocab/relatedWorkOrContributorName
Berthold, M.
Series statement
  • Lecture notes in computer science,
  • Lecture notes in artificial intelligence
  • State-of-the-art survey
  • LNCS sublibrary. SL 7, Artificial intelligence
Series volume
7250.
http://library.link/vocab/subjectName
  • Data mining
  • Informatique
  • Data mining
Summary expansion
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
Label
Bisociative knowledge discovery : an introduction to concept, algorithms, tools, and applications, Michael R. Berthold (ed.)
Instantiates
Publication
Antecedent source
unknown
Bibliography note
Includes bibliographical references and author index
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
  • 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
  • Towards Bisociative Knowledge Discovery
  • 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
  • Michael R. Berthold
  • 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 Piat̜ek and Michael R. Berthold
  • Exploration: Overview
  • Andreas Nürnberger
  • Towards Creative Information Exploration Based on Koestler's Concept of Bisociation
  • 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
  • Werner Dubitzky, Tobias Kötter, Oliver Schmidt and Michael R. Berthold
  • 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
  • From Information Networks to Bisociative Information Networks
  • 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
  • Tobias Kötter and Michael R. Berthold
  • Network Creation: Overview
  • Christian Borgelt
Control code
798652496
Dimensions
unknown
Extent
1 online resource (ix, 483 pages)
File format
unknown
Form of item
online
Isbn
9783642318306
Lccn
2012941862
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other control number
10.1007/978-3-642-31830-6
Other physical details
illustrations.
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
(OCoLC)798652496
Label
Bisociative knowledge discovery : an introduction to concept, algorithms, tools, and applications, Michael R. Berthold (ed.)
Publication
Antecedent source
unknown
Bibliography note
Includes bibliographical references and author index
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
  • 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
  • Towards Bisociative Knowledge Discovery
  • 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
  • Michael R. Berthold
  • 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 Piat̜ek and Michael R. Berthold
  • Exploration: Overview
  • Andreas Nürnberger
  • Towards Creative Information Exploration Based on Koestler's Concept of Bisociation
  • 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
  • Werner Dubitzky, Tobias Kötter, Oliver Schmidt and Michael R. Berthold
  • 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
  • From Information Networks to Bisociative Information Networks
  • 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
  • Tobias Kötter and Michael R. Berthold
  • Network Creation: Overview
  • Christian Borgelt
Control code
798652496
Dimensions
unknown
Extent
1 online resource (ix, 483 pages)
File format
unknown
Form of item
online
Isbn
9783642318306
Lccn
2012941862
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other control number
10.1007/978-3-642-31830-6
Other physical details
illustrations.
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
(OCoLC)798652496

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