Advances in Knowledge Discovery and Management

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Item specifics

Condition
Very Good: A book that does not look new and has been read but is in excellent condition. No obvious ...
Level
Advanced
ISBN
9783319457628
Subject Area
Mathematics, Computers, Business & Economics
Publication Name
Advances in Knowledge Discovery and Management : Vol. 6
Publisher
Springer International Publishing A&G
Item Length
9.3 in
Subject
Knowledge Capital, Probability & Statistics / General, Intelligence (Ai) & Semantics, Databases / Data Mining
Publication Year
2016
Series
Studies in Computational Intelligence Ser.
Type
Textbook
Format
Hardcover
Language
English
Author
Bruno Pinaud
Item Weight
202.4 Oz
Item Width
6.1 in
Number of Pages
Xxi, 278 Pages
Category

About this product

Product Identifiers

Publisher
Springer International Publishing A&G
ISBN-10
3319457624
ISBN-13
9783319457628
eBay Product ID (ePID)
228990089

Product Key Features

Number of Pages
Xxi, 278 Pages
Language
English
Publication Name
Advances in Knowledge Discovery and Management : Vol. 6
Subject
Knowledge Capital, Probability & Statistics / General, Intelligence (Ai) & Semantics, Databases / Data Mining
Publication Year
2016
Type
Textbook
Subject Area
Mathematics, Computers, Business & Economics
Author
Bruno Pinaud
Series
Studies in Computational Intelligence Ser.
Format
Hardcover

Dimensions

Item Weight
202.4 Oz
Item Length
9.3 in
Item Width
6.1 in

Additional Product Features

Intended Audience
Trade
Dewey Edition
23
Series Volume Number
665
Number of Volumes
1 vol.
Illustrated
Yes
Dewey Decimal
006.312
Table Of Content
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
Synopsis
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
LC Classification Number
QA76.9.D343

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