Advances in Knowledge Discovery and Management - Volume 7

This book is a collection of representative and novel works in the field of data mining, knowledge discovery, clustering and classification. Discussing both theoretical and practical aspects of "Knowledge Discovery and Management" (KDM), it is intended for researchers interested in these fields, including PhD and MSc students, and researchers from public or private laboratories.
The contributions included are extended and reworked versions of six of the best papers that were originally presented in French at the EGC'2016 conference held in Reims (France) in January 2016. This was the 16th edition of this successful conference, which takes place each year, and also featured workshops and other events with the aim of promoting exchanges between researchers and companies concerned with KDM and its applications in business, administration, industry and public organizations. For more details about the EGC society, please consult egc.asso.fr.

List of contents

A Combined Approach for Ontology Enrichment from Textual and Open Data.- C-SPARQL Extension for Sampling RDF Graphs Streams.- Efficiency Analysis of ASP Encodings for Sequential Pattern Mining Tasks.

Summary

Presents representative and novel works in the field of data science, semantic Web, clustering, and classification
Concerns both theoretical and practical aspects for scholars, PhD and MSc students, and researchers from public or private laboratories
Presents recent research

Product details

• Assisted by: Bruno Cremilleux (Editor), Bruno Cremilleux et al (Editor), Cyril de Runz (Editor), Fabric Guillet (Editor), Fabrice Guillet (Editor), Bruno Pinaud (Editor)
• Publisher: Springer, Berlin
• Languages: English
• Product format: Hardback
• Released: 31.12.2017
• EAN: 9783319654058
• ISBN: 978-3-31-965405-8
• No. of pages: 147
• Dimensions: 161 mm x 243 mm x 14 mm
• Weight: 402 g
• Illustrations: XIII, 147 p. 46 illus., 35 illus. in color.
• Series: Studies in Computational Intelligence; Studies in Computational Intelligence
• Subjects: Natural sciences, medicine, IT, technology > Technology > General, dictionaries; Management, Wissensmanagement, B, Data Mining, Artificial Intelligence, Knowledge Management, engineering, Data Mining and Knowledge Discovery, Computational Intelligence, Expert systems / knowledge-based systems