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Advances in Mining Complex Data: Modeling and Clustering

Advances in Mining Complex Data: Modeling and Clustering

Advances in Mining Complex Data: Modeling and Clustering
Stock photo: cover may vary

Advances in Mining Complex Data: Modeling and Clustering Paperback - 2013

by Ponti, G

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Description

Lap Lambert Academic Publishing, 2013. This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. In poor condition, suitable as a reading copy. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,450grams, ISBN:9783659305221
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Details

  • Title Advances in Mining Complex Data: Modeling and Clustering
  • Author Ponti, G
  • Binding Paperback
  • Pages 248
  • Volumes 1
  • Language ENG
  • Publisher Lap Lambert Academic Publishing
  • Publication date 2013
  • Bookseller's Inventory # 9380050
  • ISBN 9783659305221 / 3659305227
  • Weight 0.82 lbs (0.37 kg)
  • Dimensions 9 x 6 x 0.56 in (22.86 x 15.24 x 1.42 cm)
  • Category Computers - General Information

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From the publisher

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.

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