๐”– Scriptorium
โœฆ   LIBER   โœฆ

๐Ÿ“

Advances in Knowledge Discovery and Management: Volume 5

โœ Scribed by Fabrice Guillet, Bruno Pinaud, Gilles Venturini, Djamel Abdelkader Zighed (eds.)


Publisher
Springer International Publishing
Year
2016
Tongue
English
Leaves
148
Series
Studies in Computational Intelligence 615
Edition
1
Category
Library

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โœฆ Synopsis


This book is a collection of representative and novel works done in Data Mining, Knowledge Discovery, Clustering and Classification that were originally presented in French at the EGC'2013 (Toulouse, France, January 2013) and EGC'2014 Conferences (Rennes, France, January 2014). These conferences were respectively the 13th and 14th editions of this event, which takes place each year and which is now successful and well-known in the French-speaking community. This community was structured in 2003 by the foundation of the French-speaking EGC society (EGC in French stands for "Extraction et Gestion des Connaissances" and means "Knowledge Discovery and Management", or KDM).

This book is aiming at all researchers interested in these fields, including PhD or MSc students, and researchers from public or private laboratories. It concerns both theoretical and practical aspects of KDM. The book is structured in two parts called "Applications of KDM to real datasets" and "Foundations of KDM".

โœฆ Table of Contents


Front Matter....Pages i-xviii
Front Matter....Pages 1-1
A Study of the Spatio-Temporal Correlations in Mobile Calls Networks....Pages 3-17
Co-Clustering Network-Constrained Trajectory Data....Pages 19-32
Medical Discourse and Subjectivity....Pages 33-54
Front Matter....Pages 55-55
Relational Concept Analysis for Relational Data Exploration....Pages 57-77
Dynamic Recommender System: Using Cluster-Based Biases to Improve the Accuracy of the Predictions....Pages 79-104
Mining (Soft-) Skypatterns Using Constraint Programming....Pages 105-136
Back Matter....Pages 137-137

โœฆ Subjects


Computational Intelligence; Artificial Intelligence (incl. Robotics); Operation Research/Decision Theory


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