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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 26: Empirical Discriminative Tensor Analysis for Crime Forecasting
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Citations

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Chapter title
Empirical Discriminative Tensor Analysis for Crime Forecasting
Chapter number 26
Book title
Knowledge Science, Engineering and Management
Published in
Lecture notes in computer science, January 2011
DOI 10.1007/978-3-642-25975-3_26
Book ISBNs
978-3-64-225974-6, 978-3-64-225975-3
Authors

Mu, Yang, Ding, Wei, Morabito, Melissa, Tao, Dacheng, Yang Mu, Wei Ding, Melissa Morabito, Dacheng Tao

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 22%
Student > Ph. D. Student 7 22%
Student > Doctoral Student 2 6%
Student > Bachelor 2 6%
Researcher 2 6%
Other 4 13%
Unknown 8 25%
Readers by discipline Count As %
Computer Science 14 44%
Engineering 3 9%
Biochemistry, Genetics and Molecular Biology 2 6%
Psychology 2 6%
Mathematics 1 3%
Other 2 6%
Unknown 8 25%

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