Advances in knowledge discovery and management Volume 8
Advances in knowledge discovery and management Volume 8
edited by Bruno Pinaud, Fabrice Guillet, Fabien Gandon, Christine Largeron
- First edition
- 1 recurso en línea (XVIII, 183 páginas) 75 ilustraciones, 33 ilustraciones a color
- Studies in Computational Intelligence 834 1860-949X Intelligent Technologies and Robotics (Springer-42732) .
Part I: Clustering -- Chapter 1. Model based co-clustering of mixed numerical and binary data -- Chapter 2. Co-clustering based exploratory analysis of mixed-type data tables -- Part II: Textual Data -- Chapter 3. Automatically selecting complementary vector representations for semantic textual similarity, etc.
This book highlights novel research in Knowledge Discovery and Management (KDM), gathering the extended, peer-reviewed versions of outstanding papers presented at the annual conferences EGC'2017 & EGC'2018. The EGC conference cycle was founded by the International French-speaking EGC society ("Extraction et Gestion des Connaissances") in 2003, and has since become a respected fixture among the French-speaking community. In addition to the annual conference, the society organizes various other events in order to promote exchanges between researchers and companies concerned with KDM and its applications to business, administration, industry and public organizations. Addressing novel research in data science, semantic Web, clustering, and classification, the content presented here will chiefly benefit researchers interested in these fields, including Ph.D./M.Sc. students, at public and private laboratories alike.
9783030181291
10.1007/978-3-030-18129-1 doi
Data mining
Gestión del conocimiento
QA76.9 .D343 / 2019 EB
Part I: Clustering -- Chapter 1. Model based co-clustering of mixed numerical and binary data -- Chapter 2. Co-clustering based exploratory analysis of mixed-type data tables -- Part II: Textual Data -- Chapter 3. Automatically selecting complementary vector representations for semantic textual similarity, etc.
This book highlights novel research in Knowledge Discovery and Management (KDM), gathering the extended, peer-reviewed versions of outstanding papers presented at the annual conferences EGC'2017 & EGC'2018. The EGC conference cycle was founded by the International French-speaking EGC society ("Extraction et Gestion des Connaissances") in 2003, and has since become a respected fixture among the French-speaking community. In addition to the annual conference, the society organizes various other events in order to promote exchanges between researchers and companies concerned with KDM and its applications to business, administration, industry and public organizations. Addressing novel research in data science, semantic Web, clustering, and classification, the content presented here will chiefly benefit researchers interested in these fields, including Ph.D./M.Sc. students, at public and private laboratories alike.
9783030181291
10.1007/978-3-030-18129-1 doi
Data mining
Gestión del conocimiento
QA76.9 .D343 / 2019 EB