Advances in Mining Complex Data: Modeling and Clustering

Language: English

Published by LAP LAMBERT Academic Publishing, 2013

3659305227 / 9783659305221

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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nach der Bestellung gedruckt Neuware - Printed after ordering - Complex data come from different application contexts. In order of handling and manage them, it is important to define suitable representation models which underly the main data features. Another challenge regards analysis systems and data exploration techniques, which support the whole Knowledge Discovery in Databases (KDD) process. Investigating and solving representation problems for complex data and defining proper algorithms and techniques to extract models, patterns and new information from such data in an effective and efficient way are the main challenges which this thesis aims to face. In particular, two main aspects have been investigated, that are the way in which complex data can be modeled (i.e., data modeling), and the way in which homogeneous groups within complex data can be identified (i.e., data clustering). The application contexts that have been objective of such studies are time series data, uncertain data, text data, and biomedical data.

Seller Inventory # 9783659305221

Title
Advances in Mining Complex Data: Modeling and Clustering
Author
Giovanni Ponti
Publisher
LAP LAMBERT Academic Publishing
Publication year
2013
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3659305227
ISBN 13
9783659305221
Item weight
387 grams
Dimensions
220x150x16 mm

AHA-BUCH GmbH

Einbeck, Germany

5-star seller

AbeBooks seller since August 14, 2006

Shipping rates from Germany to U.S.A.

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