Review Committee
Preface
Contents
Editors and Contributors
Textual Data
Construction and Exploitation of an Algerian Corpus for Opinion and Emotion Analysis
1 Introduction
2 Opinion and Emotion Analysis
2.1 Approaches and Methods
2.2 Opinion and Emotion Analysis of the Algerian Dialect
3 Contribution
3.1 TWIFIL
3.2 The Generated Annotated Corpus
3.3 The Generated Annotated Lexicon
3.4 Data Pre-processing
4 Training Classifiers
4.1 Data and Methodology
4.2 Results
5 Conclusion
References
Recursive Named Entity Recognition
1 Introduction
2 A Recursive Approach
2.1 Which Typology?
2.2 Algorithms
2.3 Independent Rules
2.4 Named Entity Dependent Rules
2.5 Mixed Rules
2.6 Candidate Selection
2.7 Example of Application
3 Experiments
3.1 Tools and Resources
3.2 Experiments
4 Conclusion
References
Anomaly Detection Based on Sequence Indexation and CFOF Score Approximation
1 Introduction
2 Related Work
2.1 Different Families
2.2 Methods Based on the Notion of Proximity
3 Approximation of the CFOF Score Using an iSAX Tree
3.1 CFOF Score Definition
3.2 Approximation Scheme
3.3 Tree Traversal Algorithm
3.4 Computation of widetildedist(mathcalN,p) and tildeσmathcalN(p) in the Preprocessing
4 Evaluations and Analysis
4.1 Evaluation on the Clust2 Dataset
4.2 Evaluation on the Industrial SNCF Dataset
5 Conclusion
References
Spatial and Temporal Dimensions
A Practical Approach to Intelligent Spoken Dialogue for Third-Party Applications on Home Devices with Linear Bandits
1 Introduction
1.1 State of the Art
1.2 Our Approach
2 The Dialogue System
2.1 The Decision System
2.2 The Dialogue Manager
2.3 Practical Applications of the Decision System
3 A Toy Conversation
4 Conclusion
5 Future Works
References
Detecting Communities in Complex Networks Using Formal Concept Analysis
1 Introduction
2 Background
2.1 Social Network Analysis
2.2 Formal Concept Analysis
2.3 Silhouette Coefficient
3 Related Work
3.1 Community Detection in Two-Mode Data Networks
3.2 Community Detection in Multilayer Networks
4 The Proposed Strategy
4.1 Generating Formal Concepts
4.2 Selecting Cohesive and Separable Concepts
4.3 Refining Core Communities
4.4 Complexity Analysis
5 Multilayer and Multidimensional Networks
5.1 Multilayer Networks
5.2 Multidimensional Networks
6 Experimental Evaluation
6.1 First Test Series
6.2 Second Test Series
7 Conclusion
References
A Data Mining Approach to Guide the Physical Design of Distributed Big Data Warehouses
1 Introduction
2 Related Works
3 Our Proposal
3.1 Notations
3.2 Build the Buckets
3.3 Placement of the Buckets
3.4 Query Transformation
4 Experiments
4.1 Experimental Setup
4.2 Experiments and Results
4.3 Discussion
5 Conclusion and Future Research
References
Human and Social Dimensions
Association Rule Mining to Shortlist Plant Phenolic Compounds Likely to Decrease Methane Emissions by Ruminants
1 Introduction
2 Recall Association Rules
3 Data Presentation
3.1 Plant Phenolic Compounds (Descriptive Variables)
3.2 The Anti-methanogenic Index (Target Variable)
4 Process of Knowledge Discovery in Databases
5 Mining the Potentially Promising Compounds and Associations
5.1 Mining the Potentially Promising Compounds
5.2 Mining the Potentially Promising Associations
6 Mining Class Strongly Expressed Rules
6.1 Mining the Most Promising Compounds
6.2 Mining the Most Promising Compounds Associations
7 Conclusion
References
Predicting Interatomic Distances of Molecular Quantum Chemistry Calculations
1 Introduction
2 Learning Objectives and Databases Description
3 Prediction of the Complete Geometry
4 Prediction of One Bond at a Time
4.1 Descriptors and Data
4.2 Models
4.3 Results
5 Conclusion and Perspectives
References
Adjusting the Exploration Flow in Relational Concept Analysis
1 Introduction
2 Exploring Multi-relational Datasets
3 By-generalization or By-aggregation Approaches for Multi-relational Dataset Exploration
4 Data Exploration with Relational Concept Analysis
5 Guiding Tools for RCA
5.1 Constraints on Relations
5.2 Interpretation Outline
5.3 Dashboard of Neighbor Result Sets
6 Application to the Fresqueau Dataset
6.1 Fresqueau Dataset
6.2 Specific Fresqueau Rules
6.3 Non-redundant Binary Implication Sets
6.4 Canonical Basis
7 Conclusion
References
Author Index