Advances in Knowledge Discovery and Management

Volume 7
Softcover Nachdruck of the original 1. Auflage 2018
ISBN: 978-3-319-88020-4
Verlag: Springer International Publishing

Buch, Englisch, Band 732, 147 Seiten, Previously published in hardcover, Format (B × H): 155 mm x 235 mm, Gewicht: 260 g

Reihe: Studies in Computational Intelligence

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.

Zielgruppe

Research

Autoren/Hrsg.

Pinaud, Bruno

De Runz, Cyril

Guillet, Fabrice

Cremilleux, Bruno

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Wissensbasierte Systeme, Expertensysteme
• Wirtschaftswissenschaften Betriebswirtschaft Management Wissensmanagement
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining

Inhaltsverzeichnis

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