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Proceedings of the First International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’16)

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Table of Contents

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    Book Overview
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    Chapter 1 Cognitive Reasoning Framework: Possibilities, Problems, Prospects
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    Chapter 2 A Survey of Current Challenges in Manufacturing Industry and Preparation for Industry 4.0
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    Chapter 3 A Comparison of Stochastic and Fuzzy Orderings
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    Chapter 4 Time Series Forecasting Using Combination of Exponential Models and Fuzzy Techniques
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    Chapter 5 Time Series Knowledge Mining Based on Temporal Network Model
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    Chapter 6 Methods and Algorithms of Anomaly Searching in Collections of Time Series
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    Chapter 7 Web-Based System for Enterprise Performance Analysis on the Basis of Time Series Data Mining
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    Chapter 8 Feature Selection Using Semi Discrete Decomposition and Singular Value Decompositions
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    Chapter 9 Feature Selection by Principle Component Analysis for Mining Frequent Association Rules
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    Chapter 10 Time Series Forecasting Based on Hybrid Neural Networks and Multiple Regression
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    Chapter 11 Power Load Daily-Similarity and Time-Series Prediction Using the Selective Differential Polynomial Network
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    Chapter 12 An EEG Classification Approach Based on Intrinsic Signal Properties and Wavelets
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    Chapter 13 Fuzzy c-Means Algorithm in Automatic Classification of EEG
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    Chapter 14 Implementation of the Argumentation System Based on Defeasible Reasoning Theory
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    Chapter 15 Paraconsistency of Argumentation Semantics for Stepping Theories of Active Logic
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    Chapter 16 Query Answering Over Ontologies in the Extended Allen’s Interval Logic
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    Chapter 17 Logical-Algebraic Methods in Constructing Cognitive Sensors for Railway Infrastructure Intelligent Monitoring System
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    Chapter 18 Case-Based Reasoning Module for Intelligent Decision Support Systems
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    Chapter 19 Automatic Document Classification Based on J.S. Mill’s Ideas
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    Chapter 20 The Analysis of Diagrammatic Models of Workflows in Design of the Complex Automated Systems
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    Chapter 21 Integration and Processing of Problem-Oriented Knowledge Based on Evolutionary Procedures
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    Chapter 22 Design Intelligent Lifecycle Management Systems Based on Applying of Semantic Technologies
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    Chapter 23 Application of Swarm Intelligence for Domain Ontology Alignment
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    Chapter 24 Mathematical Models of Learning Materials Estimation Based on Subject Ontology
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    Chapter 25 Hybridization of Fuzzy Inference and Self-learning Fuzzy Ontology-Based Semantic Data Analysis
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    Chapter 26 Models for Supporting of Problem-Oriented Knowledge Search and Processing
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    Chapter 27 A New Approach for Software Development in Terms of Problem-Oriented Knowledge Search and Processing
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    Chapter 28 The Concept of Construction Methodology Notion for Intelligent Systems
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    Chapter 29 The Model of Subject-Oriented Storage of Concepts Sense for Configurable Information Systems
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    Chapter 30 Coloring Method of Fuzzy Temporal Graph with the Greatest Separation Degree
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    Chapter 31 Temporal Coloured Petri Nets as a Tool for Modelling of Complex Dynamic Systems
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    Chapter 32 Fuzzy Graphs Clustering with Quality Relation Functionals in Cognitive Models
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    Chapter 33 Context-Based Trip Planning in Infomobility System for Public Transport
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    Chapter 34 Processing of Qualitative Data
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    Chapter 35 An Approach to the Fuzzy Inference in Logical-Type Systems with Many Inputs
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    Chapter 36 New Fuzzy Truth Value Based Inference Methods for Non-singleton MISO Rule-Based Systems
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    Chapter 37 Feature Selection Using a Genetic Algorithm for Solar Power Prediction
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    Chapter 38 Hybrid Intelligent Approach to Solving the Problem of Service Data Queues
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    Chapter 39 Artificial Bee Colony Algorithm—A Novel Tool for VLSI Placement
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    Chapter 40 Mechanisms of Adaptive Ant Colony Behavior in Placement Problem
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    Chapter 41 Multiagent Self-Organizing Interval Bacterial Colony Evolution Optimization Algorithm
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    Chapter 42 Effectiveness Evaluation of Memetics and Biogeography Algorithms Using Benchmark and Trans Computational Tasks of Combinatorial Optimization
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    Chapter 43 Performance Investigation of Mind Evolutionary Computation Algorithm and Some of Its Modifications
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    Chapter 44 Three Types of Differential Evolution Applied to the Facility Location Problem
Overall attention for this book and its chapters
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Mentioned by

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Proceedings of the First International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’16)
Published by
Springer International Publishing, January 2016
DOI 10.1007/978-3-319-33609-1
978-3-31-933608-4, 978-3-31-933609-1

Ajith Abraham, Sergey Kovalev, Valery Tarassov, Václav Snášel

Twitter Demographics

The data shown below were collected from the profiles of 2 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 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 60 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 17%
Student > Master 6 10%
Student > Bachelor 6 10%
Lecturer 3 5%
Professor > Associate Professor 2 3%
Other 6 10%
Unknown 27 45%
Readers by discipline Count As %
Engineering 18 30%
Business, Management and Accounting 7 12%
Mathematics 2 3%
Psychology 1 2%
Computer Science 1 2%
Other 4 7%
Unknown 27 45%