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Knowledge Science, Engineering and Management

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

Table of Contents

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    Book Overview
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    Chapter 1 Coming Upon the Classic Notion of Implicit Knowledge Again
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    Chapter 2 Knowledge Preemption and Defeasible Rules
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    Chapter 3 A Method for Merging Cultural Logic Systems
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    Chapter 4 Automatic Building of Socio-semantic Networks for Requirements Analysis
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    Chapter 5 A Document Clustering Algorithm Based on Semi-constrained Hierarchical Latent Dirichlet Allocation
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    Chapter 6 An Ordinal Multi-class Classification Method for Readability Assessment of Chinese Documents
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    Chapter 7 Applying Triadic FCA in Studying Web Usage Behaviors
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    Chapter 8 Verification Based on Hyponymy Hierarchical Characteristics for Web-Based Hyponymy Discovery
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    Chapter 9 Using Standardized Lexical Semantic Knowledge to Measure Similarity
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    Chapter 10 Impact of the Sakoe-Chiba Band on the DTW Time Series Distance Measure for kNN Classification
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    Chapter 11 Weighting Exponent Selection of Fuzzy C-Means via Jacobian Matrix
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    Chapter 12 Dividing Traffic Sub-areas Based on a Parallel K-Means Algorithm
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    Chapter 13 On the Social Network Based Semantic Annotation of Conceptual Models
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    Chapter 14 Development of an Evaluation Approach for Customer Service Interaction Models
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    Chapter 15 Developing Conceptual Modeling Tools Using a DSL
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    Chapter 16 The Core Elements of Corporate Knowledge Management and Their Reflection in Research and Practice – The Case of Knowledge Management Systems
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    Chapter 17 Combining Bottom-Up and Top-Down Generation of Interactive Knowledge Maps for Enterprise Search
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    Chapter 18 A Modeling Procedure for Information and Material Flow Analysis Comprising Graphical Models, Rules and Animated Simulation
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    Chapter 19 A Practical Approach to Extracting Names of Geographical Entities and Their Relations from the Web
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    Chapter 20 An Improved Backtracking Search Algorithm for Constrained Optimization Problems
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    Chapter 21 Sentiment Classification by Combining Triplet Belief Functions
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    Chapter 22 Relating the Opinion Holder and the Review Accuracy in Sentiment Analysis of Tourist Reviews
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    Chapter 23 Formal Modeling of Airborne Software High-Level Requirements Based on Knowledge Graph
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    Chapter 24 Scalable Horn-Like Rule Inference of Semantic Data Using MapReduce
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    Chapter 25 Model Checking (k, d)-Markov Chain with ipLTL
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    Chapter 26 Argument Ranking with Categoriser Function
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    Chapter 27 Investigating Collaboration Dynamics in Different Ontology Development Environments
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    Chapter 28 An Ontological Approach for Specifying Provenance into SPARQL Service Descriptions
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    Chapter 29 Complex Networks’ Analysis Using an Ontology-Based Approach: Initial Steps
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    Chapter 30 Review of Knowledge Management Models for Implementation within Advanced Product Quality Planning
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    Chapter 31 Assessing the Impact of DMAIC-Knowledge Management Methodology on Six Sigma Projects: An Evaluation through Participant’s Perception
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    Chapter 32 A Knowledge-Transfer System Integrating Workflow, A Rule Base, Domain Ontologies and a Goal Tree
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    Chapter 33 A Conceptual Reference Model of Modeling and Verification Concepts for Hybrid Systems
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    Chapter 34 A Semantic-Based EMRs Integration Framework for Diagnosis Decision-Making
Overall attention for this book and its chapters
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Knowledge Science, Engineering and Management
Published by
Springer International Publishing, January 2014
DOI 10.1007/978-3-319-12096-6
978-3-31-912095-9, 978-3-31-912096-6

Robert Buchmann, Claudiu Vasile Kifor, Jian Yu

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 1 14%
Other 1 14%
Student > Ph. D. Student 1 14%
Unknown 4 57%
Readers by discipline Count As %
Computer Science 2 29%
Social Sciences 1 14%
Unknown 4 57%