Data Science, Learning by Latent Structures, and Knowledge Discovery

Data Science, Learning by Latent Structures, and Knowledge Discovery
Author :
Publisher : Springer
Total Pages : 552
Release :
ISBN-10 : 9783662449837
ISBN-13 : 3662449838
Rating : 4/5 (838 Downloads)

Book Synopsis Data Science, Learning by Latent Structures, and Knowledge Discovery by : Berthold Lausen

Download or read book Data Science, Learning by Latent Structures, and Knowledge Discovery written by Berthold Lausen and published by Springer. This book was released on 2015-05-06 with total page 552 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume comprises papers dedicated to data science and the extraction of knowledge from many types of data: structural, quantitative, or statistical approaches for the analysis of data; advances in classification, clustering and pattern recognition methods; strategies for modeling complex data and mining large data sets; applications of advanced methods in specific domains of practice. The contributions offer interesting applications to various disciplines such as psychology, biology, medical and health sciences; economics, marketing, banking and finance; engineering; geography and geology; archeology, sociology, educational sciences, linguistics and musicology; library science. The book contains the selected and peer-reviewed papers presented during the European Conference on Data Analysis (ECDA 2013) which was jointly held by the German Classification Society (GfKl) and the French-speaking Classification Society (SFC) in July 2013 at the University of Luxembourg.


Data Science, Learning by Latent Structures, and Knowledge Discovery Related Books

Data Science, Learning by Latent Structures, and Knowledge Discovery
Language: en
Pages: 552
Authors: Berthold Lausen
Categories: Mathematics
Type: BOOK - Published: 2015-05-06 - Publisher: Springer

DOWNLOAD EBOOK

This volume comprises papers dedicated to data science and the extraction of knowledge from many types of data: structural, quantitative, or statistical approac
Synergies Between Knowledge Engineering and Software Engineering
Language: en
Pages: 299
Authors: Grzegorz J. Nalepa
Categories: Technology & Engineering
Type: BOOK - Published: 2017-09-15 - Publisher: Springer

DOWNLOAD EBOOK

This book compiles a number of contributions originating from the KESE (Knowledge Engineering and Software Engineering) workshop series from 2005 to 2015. The i
Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track
Language: en
Pages: 521
Authors: Albert Bifet
Categories:
Type: BOOK - Published: - Publisher: Springer Nature

DOWNLOAD EBOOK

Artificial Neural Networks and Machine Learning – ICANN 2022
Language: en
Pages: 817
Authors: Elias Pimenidis
Categories: Computers
Type: BOOK - Published: 2022-09-06 - Publisher: Springer Nature

DOWNLOAD EBOOK

The 4-volumes set of LNCS 13529, 13530, 13531, and 13532 constitutes the proceedings of the 31st International Conference on Artificial Neural Networks, ICANN 2
Machine Learning and Knowledge Discovery in Databases
Language: en
Pages: 881
Authors: Michelangelo Ceci
Categories: Computers
Type: BOOK - Published: 2017-12-29 - Publisher: Springer

DOWNLOAD EBOOK

The three volume proceedings LNAI 10534 – 10536 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in