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Bisociative Knowledge Discovery [electronic resource] : An Introduction to Concept, Algorithms, Tools, and Applications

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Bisociative Knowledge Discovery [electronic resource] : An Introduction to Concept, Algorithms, Tools, and Applications
Original Title Bisociative Knowledge Discovery [electronic resource] : An Introduction to Concept, Algorithms, Tools, and Applications
Author Berthold, M. (Michael), SpringerLink (Online service)
Publication date

Topics Computer science, Computer networks, Data mining, Artificial intelligence, Optical pattern recognition, Computer science, Artificial Intelligence (incl. Robotics), Data Mining and Knowledge Discovery, Information Systems Applications (incl. Internet), User Interfaces and Human Computer Interaction, Pattern perception, Computer networks
Publisher Berlin, Heidelberg : Springer Berlin Heidelberg
Collection folkscanomy_miscellaneous, folkscanomy, additional_collections
Language English
Book Type EBook
Material Type Book
File Type PDF
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Scan Quality: Best No watermark
PDF Quality: Good
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Bisociative Knowledge Discovery: An Introduction to Concept, Algorithms, Tools, and Applications
Author: Michael R. Berthol
Published by Springer Berlin Heidelberg
ISBN: 978-3-642-31829-0
DOI: 10.1007/978-3-642-31830-6

Table of Contents:

  • Towards Bisociative Knowledge Discovery
  • Towards Creative Information Exploration Based on Koestler’s Concept of Bisociation
  • From Information Networks to Bisociative Information Networks
  • Network Creation: Overview
  • Selecting the Links in BisoNets Generated from Document Collections
  • Bridging Concept Identification for Constructing Information Networks from Text Documents
  • Discovery of Novel Term Associations in a Document Collection
  • Cover Similarity Based Item Set Mining
  • Patterns and Logic for Reasoning with Networks
  • Network Analysis: Overview
  • BiQL: A Query Language for Analyzing Information Networks
  • Review of BisoNet Abstraction Techniques
  • Simplification of Networks by Edge Pruning
  • Network Compression by Node and Edge Mergers
  • Finding Representative Nodes in Probabilistic Graphs
  • (Missing) Concept Discovery in Heterogeneous Information Networks
  • Node Similarities from Spreading Activation
  • Towards Discovery of Subgraph Bisociations
  • Exploration: Overview
  • Data Exploration for Bisociative Knowledge Discovery: A Brief Overview of Tools and Evaluation Methods
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