Challenges at the Interface of Data Analysis, Computer Science, and Optimization

Challenges at the Interface of Data Analysis, Computer Science, and Optimization
Author :
Publisher : Springer Science & Business Media
Total Pages : 560
Release :
ISBN-10 : 9783642244650
ISBN-13 : 3642244653
Rating : 4/5 (50 Downloads)

Book Synopsis Challenges at the Interface of Data Analysis, Computer Science, and Optimization by : Wolfgang Gaul

Download or read book Challenges at the Interface of Data Analysis, Computer Science, and Optimization written by Wolfgang Gaul and published by Springer Science & Business Media. This book was released on 2012-02-09 with total page 560 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume provides approaches and solutions to challenges occurring at the interface of research fields such as data analysis, computer science, operations research, and statistics. It includes theoretically oriented contributions as well as papers from various application areas, where knowledge from different research directions is needed to find the best possible interpretation of data for the underlying problem situations. Beside traditional classification research, the book focuses on current interests in fields such as the analysis of social relationships as well as statistical musicology.


Challenges at the Interface of Data Analysis, Computer Science, and Optimization Related Books

Challenges at the Interface of Data Analysis, Computer Science, and Optimization
Language: en
Pages: 560
Authors: Wolfgang Gaul
Categories: Computers
Type: BOOK - Published: 2012-02-09 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

This volume provides approaches and solutions to challenges occurring at the interface of research fields such as data analysis, computer science, operations re
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
Modern Quantification Theory
Language: en
Pages: 231
Authors: Shizuhiko Nishisato
Categories: Social Science
Type: BOOK - Published: 2021-07-22 - Publisher: Springer Nature

DOWNLOAD EBOOK

This book offers a new look at well-established quantification theory for categorical data, referred to by such names as correspondence analysis, dual scaling,
Optimal Quantification and Symmetry
Language: en
Pages: 199
Authors: Shizuhiko Nishisato
Categories: Mathematics
Type: BOOK - Published: 2022-02-21 - Publisher: Springer Nature

DOWNLOAD EBOOK

This book offers a unique new look at the familiar quantification theory from the point of view of mathematical symmetry and spatial symmetry. Symmetry exists i
Data Analysis, Machine Learning and Knowledge Discovery
Language: en
Pages: 470
Authors: Myra Spiliopoulou
Categories: Computers
Type: BOOK - Published: 2013-11-26 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

Data analysis, machine learning and knowledge discovery are research areas at the intersection of computer science, artificial intelligence, mathematics and sta