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Advanced Computational Methods for Knowledge Engineering

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Cover of 'Advanced Computational Methods for Knowledge Engineering'

Table of Contents

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    Book Overview
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    Chapter 1 A Cutting Plane Approach for Solving Linear Bilevel Programming Problems
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    Chapter 2 A Direct Method for Determining the Lower Convex Hull of a Finite Point Set in 3D
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    Chapter 3 A Hybrid Intelligent Control System Based on PMV Optimization for Thermal Comfort in Smart Buildings
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    Chapter 4 DC Approximation Approach for ℓ0-minimization in Compressed Sensing
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    Chapter 5 DC Programming and DCA Approach for Resource Allocation Optimization in OFDMA/TDD Wireless Networks
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    Chapter 6 DC Programming and DCA for a Novel Resource Allocation Problem in Emerging Area of Cooperative Physical Layer Security
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    Chapter 7 Scheduling Problem for Bus Rapid Transit Routes
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    Chapter 8 Application of Recently Proposed Metaheuristics to the Sequence Dependent TSP
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    Chapter 9 omparative Study of Extended Kalman Filter and Particle Filter for Attitude Estimation in Gyroless Low Earth Orbit Spacecraft
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    Chapter 10 Graph Coloring Tabu Search for Project Scheduling
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    Chapter 11 Quality of the Approximation of Ruin Probabilities Regarding to Large Claims
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    Chapter 12 An Improvement of Stability Based Method to Clustering
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    Chapter 13 A Method for Building a Labeled Named Entity Recognition Corpus Using Ontologies
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    Chapter 14 A New Method of Virus Detection Based on Maximum Entropy Model
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    Chapter 15 A Parallel Algorithm for Frequent Subgraph Mining
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    Chapter 16 Combining Random Sub Space Algorithm and Support Vector Machines Classifier for Arabic Opinions Analysis
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    Chapter 17 Efficient Privacy Preserving Data Audit in Cloud
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    Chapter 18 Incremental Mining Class Association Rules Using Diffsets
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    Chapter 19 Mathematical Morphology on Soft Sets for Application to Metabolic Networks
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    Chapter 20 Molecular Screening of Azurin-Like Anticancer Bacteriocins from Human Gut Microflora Using Bioinformatics
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    Chapter 21 Non-linear Classification of Massive Datasets with a Parallel Algorithm of Local Support Vector Machines
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    Chapter 22 On the Efficiency of Query-Subquery Nets with Right/Tail-Recursion Elimination in Evaluating Queries to Horn Knowledge Bases
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    Chapter 23 Parallel Multiclass Logistic Regression for Classifying Large Scale Image Datasets
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    Chapter 24 Statistical Features for Emboli Identification Using Clustering Technique
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    Chapter 25 Twitter Sentiment Analysis Using Machine Learning Techniques
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    Chapter 26 Video Recommendation Using Neuro-Fuzzy on Social TV Environment
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    Chapter 27 A Two-Stage Consensus-Based Approach for Determining Collective Knowledge
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    Chapter 28 Context in Ontology for Knowledge Representation
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    Chapter 29 Designing a Tableau Reasoner for Description Logics
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    Chapter 30 Granular Floor Plan Representation for Evacuation Modeling
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    Chapter 31 Integrated Assessment Model on Global-Scale Emissions of Air Pollutants
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    Chapter 32 Query-Subquery Nets with Stratified Negation
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    Chapter 33 Distributed Hierarchy of Clusters in the Presence of Topological Changes
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    Chapter 34 Native Runtime Environment for Internet of Things
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    Chapter 35 Searching for Strongly Subsuming Higher Order Mutants by Applying Multi-objective Optimization Algorithm
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    Chapter 36 Some Practical Aspects on Modelling Server Clusters
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    Chapter 37 Erratum to: A Direct Method for Determining the Lower Convex Hull of a Finite Point Set in 3D
Attention for Chapter 11: Quality of the Approximation of Ruin Probabilities Regarding to Large Claims
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Chapter title
Quality of the Approximation of Ruin Probabilities Regarding to Large Claims
Chapter number 11
Book title
Advanced Computational Methods for Knowledge Engineering
Published by
Springer International Publishing, January 2016
DOI 10.1007/978-3-319-17996-4_11
Book ISBNs
978-3-31-917995-7, 978-3-31-917996-4

Aicha Bareche, Mouloud Cherfaoui, Djamil Aïssani


Hoai An Le Thi, Ngoc Thanh Nguyen, Tien Van Do

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 1 50%
Unknown 1 50%
Readers by discipline Count As %
Mathematics 1 50%
Unknown 1 50%