Advances in Knowledge Discovery and Management
Springer International Publishing (Verlag)
978-3-319-45762-8 (ISBN)
Written for PhD and MSc students, as well as researchers working in the field, it addresses both theoretical and practical aspects of knowledge discovery and management.
Part I: Online learning of a weighted selective naive Bayes classifier with non-convex optimization.- On making skyline queries resistant to outliers.- Adaptive Down-Sampling and Dimension Reduction in Time Elastic Kernel Machines for Efficient Recognition of Isolated Gestures.- Exact and Approximate Minimal Pattern Mining.- Part II: Comparison of proximity measures for a topological discrimination.- Comparison of linear modularization criteria using the relational formalism, an approach to easily identify resolution limit.- A novel approach to feature selection based on quality estimation metrics.- Ultrametricity of Dissimilarity Spaces and Its Significance for Data Mining.- Part III: SMERA: Semantic Mixed Approach for Web Query Expansion and Reformulation.- Multi-layer ontologies for integrated 3D shape segmentation and annotation.- Ontology Alignment Using Web Linked Ontologies as Background Knowledge.- LIAISON: reconciLIAtion of Individuals profiles across SOcial Networks.- Clustering of Links and Clustering of Nodes: Fusion of Knowledge in Social Networks
Erscheinungsdatum | 15.11.2016 |
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Reihe/Serie | Studies in Computational Intelligence |
Zusatzinfo | XXI, 278 p. 81 illus., 61 illus. in color. |
Verlagsort | Cham |
Sprache | englisch |
Maße | 155 x 235 mm |
Themenwelt | Informatik ► Datenbanken ► Data Warehouse / Data Mining |
Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
Schlagworte | AKDM • Artificial Intelligence • artificial intelligence (incl. robotics) • Computational Intelligence • Data Mining • data mining and knowledge discovery • Engineering • Expert systems / knowledge-based systems • Intelligent Systems • Knowledge Discovery • Management • Robotics |
ISBN-10 | 3-319-45762-4 / 3319457624 |
ISBN-13 | 978-3-319-45762-8 / 9783319457628 |
Zustand | Neuware |
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