Website Search
Find information on spaces, staff, and services.
Catalog Search
Books
Advances in combining intelligent methods : postproceedings of the 5th International Workshop CIMA-2015, Vietri sul Mare, Italy, November 2015 (at ICTAI 2015)
- Author / Creator
- Conferences
- International Workshop on Combinations of Intelligent Methods and Applications (5th : 2015 : Vietri sul Mare, Italy)
- Available as
- Online
Details
- Creator
- Ioannis Hatzilygeroudis, Vasile Palade, Jim Prentzas, editors
- Format
- Books
- Language
- English
- Publication
-
- Cham, Switzerland : Springer, [2016]
- ©2017
- Physical Details
-
- 1 online resource
- ISBNs
- 9783319462004, 3319462008, 9783319461991
- OCLC
- ocn963932210
- Includes bibliographical references.
- 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
- 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
- 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
- 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
- 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