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Advances in Knowledge Discovery and Management: Volume 6 Softcover reprint of the original 1st ed. 2017 [Mīkstie vāki]

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  • Formāts: Paperback / softback, 278 pages, height x width: 235x155 mm, weight: 4569 g, 61 Illustrations, color; 20 Illustrations, black and white; XXI, 278 p. 81 illus., 61 illus. in color., 1 Paperback / softback
  • Sērija : Studies in Computational Intelligence 665
  • Izdošanas datums: 28-Jun-2018
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3319833685
  • ISBN-13: 9783319833682
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Advances in Knowledge Discovery and Management: Volume 6 Softcover reprint of the original 1st ed. 2017Palielināt
  • Formāts: Paperback / softback, 278 pages, height x width: 235x155 mm, weight: 4569 g, 61 Illustrations, color; 20 Illustrations, black and white; XXI, 278 p. 81 illus., 61 illus. in color., 1 Paperback / softback
  • Sērija : Studies in Computational Intelligence 665
  • Izdošanas datums: 28-Jun-2018
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3319833685
  • ISBN-13: 9783319833682
Citas grāmatas par šo tēmu:
Permanent link: https://www.kriso.lv/db/9783319833682.html
This book presents a collection of representative and novel work in the field of data mining, knowledge discovery, clustering and classification, based on expanded and reworked versions of a selection of the best papers originally presented in French at the EGC 2014 and EGC 2015 conferences held in Rennes (France) in January 2014 and Luxembourg in January 2015. The book is in three parts: The first four chapters discuss optimization considerations in data mining. The second part explores specific quality measures, dissimilarities and ultrametrics. The final chapters focus on semantics, ontologies and social networks.

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