Advances in knowledge discovery and management.
Series: Studies in computational intelligence, 1860-949X ; . v.398. Published by : Springer, (Berlin ; | New York :) Physical details: 1 online resource (xii, 233 pages) : illustrated ; 24 cm. ISBN:9783642258381; 3642258387; 3642258379; 9783642258374.-
http://0-link.springer.com.library.vu.edu.au/10.1007/978-3-642-25838-1
- Full-text via Springer English/International eBooks 2012 - Full Set
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Kukum Library General Stacks | K 006.312 ADV (Browse shelf) | Available | 50666 |
Includes author index.
Constrained Closed and Quotient Cubes -- A New Concise and Exact Representation of Data Cubes -- Ontology-Based Access Rights Management -- Explaining Reference Reconciliation Decisions: A Coloured Petri Nets Based Approach -- Combining Constraint Programming and Constraint-Based Mining for Pattern Discovery -- Simultaneous Partitioning of Input and Class Variables for Supervised Classification Problems with Many Classes -- Interactive and Progressive Constraint Definition for Dimensionality Reduction and Visualization -- Efficient Parallel Mining of Gradual Patterns on Multicore Processors -- Analyzing Old Documents Using a Complex Approach: Application to Lettrines Indexing -- Identifying Relevant Features of Images from Their 2-D Topology -- Analyzing Health Consumer Terminology for Query Reformulation Tasks -- An Approach Based on Predicate Correlation to the Reduction of Plethoric Answer Sets.
During the last decade, Knowledge Discovery and Management (KDM or, in French, EGC for Extraction et Gestion des connaissances) has been an intensive and fruitful research topic in the French-speaking scientific community. In 2003, this enthusiasm for KDM led to the foundation of a specific French-speaking association, called EGC, dedicated to supporting and promoting this topic. More precisely, KDM is concerned with the interface between knowledge and data such as, among other things, Data Mining, Knowledge Discovery, Business Intelligence, Knowledge Engineering and Semantic Web. The recent and novel research contributions collected in this book are extended and reworked versions of a selection of the best papers that were originally presented in French at the EGC 2010 Conference held in Tunis, Tunisia in January 2010. The volume is organized in three parts. Part I includes four chapters concerned with various aspects of Data Cube and Ontology-based representations. Part II is composed of four chapters concerned with Efficient Pattern Mining issues, while in Part III the last four chapters address Data Preprocessing and Information Retrieval.
Available electronically via the Internet.


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