Advances in combining intelligent methods : postproceedings of the 5th International Workshop CIMA-2015, Vietri sul Mare, Italy, November 2015 (at ICTAI 2015)

Complex problems usually cannot be solved by individual methods or techniques and require the synergism of more than one of them to be solved. This book presents a number of current efforts that use combinations of methods or techniques to solve complex problems in the areas of sentiment analysis, s...

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Bibliographic Details
Corporate Author: International Workshop on Combinations of Intelligent Methods and Applications Vietri sul Mare, Italy)
Other Authors: Hatzilygeroudis, Ioannis, (Editor), Palade, Vasile, 1964- (Editor), Prentzas, Jim, (Editor)
Format: eBook
Language: English
Published: Cham, Switzerland : Springer, [2016]
Series: Intelligent systems reference library ; v. 116.
Subjects:
Artificial intelligence > Congresses.
elektronické knihy
electronic books
ISBN: 9783319462004
9783319461991
Physical Description: 1 online resource

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Table of contents

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111 2 |a International Workshop on Combinations of Intelligent Methods and Applications  |n (5th :  |d 2015 :  |c Vietri sul Mare, Italy) 
245 1 0 |a Advances in combining intelligent methods :  |b postproceedings of the 5th International Workshop CIMA-2015, Vietri sul Mare, Italy, November 2015 (at ICTAI 2015) /  |c Ioannis Hatzilygeroudis, Vasile Palade, Jim Prentzas, editors. 
264 1 |a Cham, Switzerland :  |b Springer,  |c [2016] 
264 4 |c ©2017 
300 |a 1 online resource 
336 |a text  |b txt  |2 rdacontent 
337 |a počítač  |b c  |2 rdamedia 
338 |a online zdroj  |b cr  |2 rdacarrier 
490 1 |a Intelligent systems reference library,  |x 1868-4394 ;  |v volume 116 
505 0 |a Preface; Reviewers (CIMA 2015 Program Committee); Contents; 1 Real-Time Investors' Sentiment Analysis from Newspaper Articles; Abstract; 1.1 Introduction; 1.2 Background; 1.2.1 Framing Effects; 1.2.2 Investor Sentiment Proxy Construction; 1.3 Related Work; 1.4 News Articles Classification Methodology and Sources; 1.4.1 News Sources and Preprocessing; 1.4.2 Classification Methodology; 1.5 Results and Discussion; 1.6 Conclusions and Future Work; Acknowledgments; References; 2 On the Effect of Adding Nodes to TSP Instances: An Empirical Analysis; Abstract; 2.1 Introduction. 
505 8 |a 2.2 TSP-The Problem and Its Variants2.2.1 The Traveling Salesman Problem-Variants and Their Complexity; 2.2.2 The Traveling Salesman Problem-Approaches; 2.2.3 Benchmarks for TSP; 2.3 Computational Experiment Methodology and Implementation; 2.4 Results and Discussion; 2.5 Conclusions and Future Work; Acknowledgments; References; 3 Comparing Algorithmic Principles for Fuzzy Graph Communities over Neo4j; 3.1 Introduction; 3.2 Related Work; 3.3 Fuzzy Graphs; 3.3.1 Definitions; 3.3.2 Weight Distributions; 3.3.3 Elementary Quality Metrics of Fuzzy Graphs; 3.3.4 Higher Order Data; 3.4 Fuzzy Walktrap. 
505 8 |a 3.5 Fuzzy Newman-Girvan3.6 Termination Criteria and Clustering Evaluation; 3.7 Source Code; 3.8 Results; 3.8.1 Data Summary; 3.8.2 Analysis; 3.9 Conclusions and Future Work; References; 4 Difficulty Estimation of Exercises on Tree-Based Search Algorithms Using Neuro-Fuzzy and Neuro-Symbolic Approaches; Abstract; 4.1 Introduction; 4.2 Motivation and Background; 4.2.1 Motivation; 4.2.2 Exercises on Search Algorithms; 4.3 Related Work; 4.4 Neuro-Fuzzy and Neurule-Based Approaches for Exercise Difficulty Estimation; 4.4.1 Exercise Analysis and Feature Extraction; 4.4.2 Neuro Fuzzy Approach. 
505 8 |a 4.4.3 Neurule-Based Approach4.5 Experimental Evaluation; 4.6 Conclusions; Acknowledgment; References; 5 Generation and Nonlinear Mapping of Reducts-Nearest Neighbor Classification; Abstract; 5.1 Introduction; 5.2 Generation of Reducts Based on Nearest Neighbor Relation; 5.2.1 Generation of Reducts Based on Nearest Neighbor Relation with Minimal Distance; 5.2.2 Modified Reduct Based on Reducts; 5.3 Linearly Separable Condition in Data Vector Space; 5.4 Nonlinear Mapping of Reducts Based on Nearest Neighbor Relation; 5.4.1 Generation of Independent Vectors Based on Nearest Neighbor Relation. 
505 8 |a 5.4.2 Characterized Equation of Nearest Neighbor Relation for Classification5.4.3 Data Characterization on Nearest Neighbor Relation; 5.4.4 Making Boundary Margin; 5.5 Nonlinear Embedding of Reducts and Threshold Element; 5.6 Conclusion; References; 6 New Quality Indexes for Optimal Clustering Model Identification Based on Cross-Domain Approach; 6.1 Introduction; 6.2 Feature Maximization for Feature Selection; 6.3 Experimental Data and Process; 6.4 Results; 6.5 Conclusion; References; 7 A Hybrid User and Item Based Collaborative Filtering Approach by Possibilistic Similarity Fusion. 
504 |a Includes bibliographical references. 
506 |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty 
520 |a Complex problems usually cannot be solved by individual methods or techniques and require the synergism of more than one of them to be solved. This book presents a number of current efforts that use combinations of methods or techniques to solve complex problems in the areas of sentiment analysis, search in GIS, graph-based social networking, intelligent e-learning systems, data mining and recommendation systems. Most of them are connected with specific applications, whereas the rest are combinations based on principles. Most of the chapters are extended versions of the corresponding papers presented in CIMA-15 Workshop, which took place in conjunction with IEEE ICTAI-15, in November 2015. The rest are invited papers that responded to special call for papers for the book. The book is addressed to researchers and practitioners from academia or industry, who are interested in using combined methods in solving complex problems in the above areas. 
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650 0 |a Artificial intelligence  |v Congresses. 
655 7 |a elektronické knihy  |7 fd186907  |2 czenas 
655 9 |a electronic books  |2 eczenas 
700 1 |a Hatzilygeroudis, Ioannis,  |e editor. 
700 1 |a Palade, Vasile,  |d 1964-  |e editor. 
700 1 |a Prentzas, Jim,  |e editor. 
830 0 |a Intelligent systems reference library ;  |v v. 116. 
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