| Description |
1 online resource |
| Series |
Intelligent systems reference library, 1868-4394 ; volume 116 |
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Intelligent systems reference library ; v. 116.
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| Contents |
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 |
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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 |
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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 |
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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 |
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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 |
| Summary |
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 |
| Bibliography |
Includes bibliographical references |
| Notes |
Online resource; title from PDF title page (SpringerLink, viewed December 5, 2016) |
| Subject |
Artificial intelligence -- Congresses
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COMPUTERS -- General.
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Artificial intelligence.
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| Genre/Form |
Conference papers and proceedings.
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Conference papers and proceedings.
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Actes de congrès.
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| Form |
Electronic book
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| Author |
Hatzilygeroudis, Ioannis, editor.
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Palade, Vasile, 1964- editor.
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Prentzas, Jim, editor.
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| ISBN |
9783319462004 |
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3319462008 |
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