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Data Analysis, Machine Learning and Applications Proceedings of the 31st Annual Conference of the Gesellschaft für Klassifikation e.V., Albert-Ludwigs-Universität Freiburg, March 7-9, 2007 /

Data analysis and machine learning are research areas at the intersection of computer science, artificial intelligence, mathematics and statistics. They cover general methods and techniques that can be applied to a vast set of applications such as web and text mining, marketing, medical science, bio...

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Corporate Author: SpringerLink (Online service)
Other Authors: Preisach, Christine. (Editor, http://id.loc.gov/vocabulary/relators/edt), Burkhardt, Hans. (Editor, http://id.loc.gov/vocabulary/relators/edt), Schmidt-Thieme, Lars. (Editor, http://id.loc.gov/vocabulary/relators/edt), Decker, Reinhold. (Editor, http://id.loc.gov/vocabulary/relators/edt)
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2008.
Edition:1st ed. 2008.
Series:Studies in Classification, Data Analysis, and Knowledge Organization,
Subjects:
Artificial intelligence.
Statistics .
Information technology.
Business—Data processing.
Data mining.
Artificial Intelligence.
Statistics, general.
IT in Business.
Data Mining and Knowledge Discovery.
Online Access:https://doi.org/10.1007/978-3-540-78246-9
Table of Contents:
  • Classification
  • Clustering
  • Multidimensional Data Analysis
  • Analysis of Complex Data
  • Exploratory Data Analysis and Tools for Data Analysis
  • Marketing and Management Science
  • Banking and Finance
  • Business Intelligence
  • Text Mining, Web Mining, and the Semantic Web
  • Linguistics
  • Data Analysis in Humanities.

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