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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 Wavelet-Based Method for Detecting Seismic Anomalies in DEMETER Satellite Data
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    Chapter 2 Interest Logic and Its Application on the Web
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    Chapter 3 Ensemble Learning for Customers Targeting
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    Chapter 4 An Approach to Generating Proposals for Handling Inconsistent Software Requirements
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    Chapter 5 Enforcing Logically Weaker Knowledge in Classical Logic
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    Chapter 6 Gaussian Process for Recommender Systems
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    Chapter 7 A Hybrid Approach for Measuring Semantic Similarity between Ontologies Based on WordNet
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    Chapter 8 A Recipe Recommendation System Based on Automatic Nutrition Information Extraction
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    Chapter 9 Analyzing Tag Distributions in Folksonomies for Resource Classification
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    Chapter 10 Time Series Similarity Measure Based on the Function of Degree of Disagreement
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    Chapter 11 A Resource Recommendation Method Based on User Taste Diffusion Model in Folksonomies
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    Chapter 12 Automatically Constructing Concept Hierarchies of Health-Related Human Goals
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    Chapter 13 Towards Implicit Knowledge Discovery from Ontology Change Log Data
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    Chapter 14 On Constructing Software Environment Ontology for Time-Continuous Environment
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    Chapter 15 Online Internet Intrusion Detection Based on Flow Statistical Characteristics
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    Chapter 16 A Perspective of Knowledge Science
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    Chapter 17 Finding Experts in Tag Based Knowledge Sharing Communities
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    Chapter 18 Knowledge Science, Engineering and Management
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    Chapter 19 An Engineerable Ontology Based Approach for Requirements Elicitation in Process Centered Problem Domain
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    Chapter 20 Design of a Scalable Reasoning Engine for Distributed, Real-Time and Embedded Systems
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    Chapter 21 Representing Belief Function Knowledge with Graphical Models
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    Chapter 22 Model of Intangible Production Network for Competence Development
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    Chapter 23 Using a Dependently-Typed Language for Expressing Ontologies
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    Chapter 24 Dynamic Rank Correlation Computing for Financial Risk Analysis
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    Chapter 25 Competence-Based Management of Knowledge Workers in Project-Oriented Organizations
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    Chapter 26 Empirical Discriminative Tensor Analysis for Crime Forecasting
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    Chapter 27 Multi-Agent System for Semantic Web Service Composition
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    Chapter 28 A Probability Model for Related Entity Retrieval Using Relation Pattern
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    Chapter 29 Fuzzy Target-Based Multi-feature Evaluation of Traditional Craft Products
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    Chapter 30 A New Over-Sampling Approach: Random-SMOTE for Learning from Imbalanced Data Sets
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    Chapter 31 Formalising Knowledge-Intensive Nuclear Fuel Process Models Using Pattern Theory
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    Chapter 32 Weight Factor Algorithms for Activity Recognition in Lattice-Based Sensor Fusion
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    Chapter 33 On the Translation from Quantified Modal Logic into the Counterpart Theory Revisited
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    Chapter 34 Image Stabilization Based on Harris Corners and Optical Flow
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    Chapter 35 Modes-Based-Analysis of Knowledge Transfer in the Organizations
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    Chapter 36 A Meta-Model for Studying the Coevolution of Knowledge and Collaboration Networks
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    Chapter 37 Imputing Missing Values for Mixed Numeric and Categorical Attributes Based on Incomplete Data Hierarchical Clustering
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    Chapter 38 A New Domain Adaptation Method Based on Rules Discovered from Cross-Domain Features
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    Chapter 39 Automatic Translation in Context-Aware Applications
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    Chapter 40 Proposal of Ontology for Resource Matchmaking Schema in Emergency Response Systems
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    Chapter 41 Constructing the Shortest ECOC for Fast Multi-classification
Attention for Chapter 13: Towards Implicit Knowledge Discovery from Ontology Change Log Data
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Citations

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Chapter title
Towards Implicit Knowledge Discovery from Ontology Change Log Data
Chapter number 13
Book title
Knowledge Science, Engineering and Management
Published by
Springer, Berlin, Heidelberg, December 2011
DOI 10.1007/978-3-642-25975-3_13
Book ISBNs
978-3-64-225974-6, 978-3-64-225975-3
Authors

Muhammad Javed, Yalemisew M. Abgaz, Claus Pahl

View on publisher site
Mendeley readers

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 %
New Zealand 1 14%
Unknown 6 86%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 43%
Student > Ph. D. Student 2 29%
Student > Bachelor 1 14%
Professor 1 14%
Readers by discipline Count As %
Computer Science 7 100%

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