Solving large scale learning tasks : challenges and algorithms : essays dedicated to Katharina Morik on the occasion of her 60th birthday /

Solving large scale learning tasks : challenges and algorithms : essays dedicated to Katharina Morik on the occasion of her 60th birthday /

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Bibliographic Details
Imprint:	Switzerland : Springer, 2016.
Description:	1 online resource (xiv, 387 pages) : illustrations
Language:	English
Series:	Lecture notes in artificial intelligence, 0302-9743 ; 9580 LNCS sublibrary. SL 7, Artificial intelligence Lecture notes in computer science. Lecture notes in artificial intelligence ; 9580. LNCS sublibrary. SL 7, Artificial intelligence.
Subject:	Big data. Online social networks. Big data. Online social networks. Electronic books.
Format:	E-Resource Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/11264472

Hidden Bibliographic Details
Other authors / contributors:	Michaelis, Stefan, editor. Piatkowski, Nico, editor. Stolpe, Marco, editor. Morik, Katharina, honouree.
ISBN:	9783319417066 3319417061 3319417053 9783319417059 9783319417059
Digital file characteristics:	text file PDF
Notes:	Includes author index. Includes bibliographical references and index. Online resource; title from PDF title page (SpringerLink, viewed July 11, 2016).
Summary:	In celebration of Prof. Morik's 60th birthday, this Festschrift covers research areas that Prof. Morik worked in and presents various researchers with whom she collaborated. The 23 refereed articles in this Festschrift volume provide challenges and solutions from theoreticians and practitioners on data preprocessing, modeling, learning, and evaluation. Topics include data-mining and machine-learning algorithms, feature selection and feature generation, optimization as well as efficiency of energy and communication.
Other form:	Printed edition: 9783319417059
Standard no.:	10.1007/978-3-319-41706-6

Description
Summary:	In celebration of Prof. Morik's 60th birthday, this Festschrift covers research areas that Prof. Morik worked in and presents various researchers with whom she collaborated. The 23 refereed articles in this Festschrift volume provide challenges and solutions from theoreticians and practitioners on data preprocessing, modeling, learning, and evaluation. Topics include data-mining and machine-learning algorithms, feature selection and feature generation, optimization as well as efficiency of energy and communication.
Item Description:	Includes author index.
Physical Description:	1 online resource (xiv, 387 pages) : illustrations
Bibliography:	Includes bibliographical references and index.
ISBN:	9783319417066 3319417061 3319417053 9783319417059
ISSN:	0302-9743 ;