Advances in Data Mining: Applications and Theoretical Aspects : 15th Industrial Conference, ICDM 2015, Hamburg, Germany, July 11-24, 2015. Proceedings / edited by Petra Perner.

Format:

• Book

Contributor:

• Perner, Petra, editor.
• SpringerLink (Online service)

Series:

• Computer Science (Springer-11645)
• Lecture notes in computer science. Lecture notes in artificial intelligence ; 9165.
• Lecture Notes in Artificial Intelligence ; 9165

Language:

English

Subjects (All):

• Artificial intelligence.
• Natural language processing (Computer science).
• Application software.
• Information storage and retrieval.
• Computers.
• Data mining.
• Artificial Intelligence.
• Natural Language Processing (NLP).
• Information Systems Applications (incl. Internet).
• Information Storage and Retrieval.
• Computation by Abstract Devices.
• Data Mining and Knowledge Discovery.

Local Subjects:

• Artificial Intelligence.
• Natural Language Processing (NLP).
• Information Systems Applications (incl. Internet).
• Information Storage and Retrieval.
• Computation by Abstract Devices.
• Data Mining and Knowledge Discovery.

Physical Description:

1 online resource (X, 279 pages) : 65 illustrations.

Edition:

First edition 2015.

Contained In:

Springer eBooks

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2015.

System Details:

text file PDF

Summary:

This book constitutes the refereed proceedings of the 15th Industrial Conference on Advances in Data Mining, ICDM 2015, held in Hamburg, Germany, in July 2015. The 16 revised full papers presented were carefully reviewed and selected from numerous submissions. The topics range from theoretical aspects of data mining to applications of data mining, such as in multimedia data, in marketing, in medicine and agriculture, and in process control, industry and society.

Contents:

• Business intelligence and customer relationship management
• Data mining in medicine and system biology
• Aspects of data mining
• Data mining in finance
• Text and document mining
• Data mining in environment.

Other Format:

Printed edition:

ISBN:

• 978-3-319-20910-4
• 9783319209104

Access Restriction:

Restricted for use by site license.