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Knowledge Discovery, Knowledge Engineering and Knowledge Management

Overview of attention for book
Cover of 'Knowledge Discovery, Knowledge Engineering and Knowledge Management'

Table of Contents

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    Book Overview
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    Chapter 1 Enterprise Ontology and DEMO Benefits, Core Concepts and a Case Study
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    Chapter 2 Mastering Data-Intensive Collaboration and Decision Making: The Dicode Project
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    Chapter 3 Integration of Text Mining Taxonomies
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    Chapter 4 A Multi-dimensional Model for Computer-Aided Measuring Planning (CAMP) in Digital Manufacturing
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    Chapter 5 The Application of Support Vector Machine and Behavior Knowledge Space in the Disulfide Connectivity Prediction Problem
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    Chapter 6 Two-Tier Machine Learning Using Conditional Random Fields with Constraints
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    Chapter 7 Keyword Extraction from Company Websites for the Development of Regional Knowledge Maps
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    Chapter 8 Pitfalls in Ontologies and TIPS to Prevent Them
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    Chapter 9 Foundational Ontology Mediation in ROMULUS
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    Chapter 10 PRONTOE: An Ontology Editor for Domain Experts
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    Chapter 11 Methodology to Develop Ontological Building Information Model for Energy Management System in Building Operational Phase
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    Chapter 12 Combining Ontological and Qualitative Spatial Reasoning: Application to Urban Images Interpretation
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    Chapter 13 Design Patterns for Description-Logic Programs
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    Chapter 14 Integration of and a Solution for Proof Problems and Query-Answering Problems
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    Chapter 15 The Web Knowledge Management: A Taxonomy-Based Approach
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    Chapter 16 Chunking Complexity Measurement for Requirements Quality Knowledge Representation
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    Chapter 17 KODEGEN: A Code Generation and Testing Tool Using Runnable Knowledge
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    Chapter 18 Using Context for Search, Browse and Recommendation in Software Development
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    Chapter 19 ESA Knowledge Management Agenda
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    Chapter 20 Multilevel Self-organization in Smart Environment: Approach and Major Technologies
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    Chapter 21 Mitigating Barriers to Healthcare Knowledge Sharing in the Collaboration of Traditional and Western Practitioners in Chinese Hospitals
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    Chapter 22 A Risk Diagnosing Methodology Web-Based Platform for Micro, Small and Medium Businesses: Remarks and Enhancements
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    Chapter 23 Elucidating Multi-disciplinary and Inter-agency Collaboration Process for Coordinated Elderly Care: A Case Study of a Japanese Care Access Center
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    Chapter 24 Semiotics in Interoperation for Information Systems Working Collaboratively
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    Chapter 25 Challenges to Construct Regional Knowledge Maps for Territories’ Sustainable Development
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    Chapter 26 Exposition of Internal Factors Enhancing Creativity and Knowledge Creation
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    Chapter 27 Cloud Security Assessment: Practical Method for Organization’s Assets Migration to the Cloud
Attention for Chapter 5: The Application of Support Vector Machine and Behavior Knowledge Space in the Disulfide Connectivity Prediction Problem
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Summary
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Chapter title
The Application of Support Vector Machine and Behavior Knowledge Space in the Disulfide Connectivity Prediction Problem
Chapter number 5
Book title
Knowledge Discovery, Knowledge Engineering and Knowledge Management
Published by
Springer, Berlin, Heidelberg, September 2013
DOI 10.1007/978-3-662-46549-3_5
Book ISBNs
978-3-66-246548-6, 978-3-66-246549-3
Authors

Hong-Yu Chen, Kuo-Tsung Tseng, Chang-Biau Yang, Chiou-Yi Hor

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 1 33%
Unknown 2 67%
Readers by discipline Count As %
Computer Science 1 33%
Unknown 2 67%

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