Studies in Computational Intelligence

Formal Methods for Mining Structured Objects

Authors: Garriga, Gemma C

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About this book

In the field of knowledge discovery, graphs of concepts are an expressive and versatile modeling technique providing ways to reason about information implicit in a set of data. Interesting examples of this can be found under the mathematical theory of formal concept analysis, dedicated to the construction of a lattice of concepts by defining a Galois connection on a binary relationship. This book present such graph of concepts under the more complex case of data that comes in a set of structured objects; e.g. a set of sequences, trees or graphs. Nodes of this graph will represent patterns in the data and edges will correspond to relationships of specificity. From this combinatorial object results are derived such as a full characterization of  logical implications and closed partial orders. The results presented in this book are coupled with examples and empirical experiments that illustrate the derived theoretical contributions.

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From the reviews:

 

“This book deals with graph representations of data coming from sets of sequences, trees, or more general combinatorial structures. … Several examples and applications are given in the book, along with empirical experiments, with a view of providing new insights into the mining of various sorts of acyclic structured objects. … The book is a valuable addition to the literature on knowledge discovery.” (Daniele Mundici, zbMATH, Vol. 1280, 2014)

Table of contents (8 chapters)

Buy this book

eBook $109.00
price for USA (gross)
  • ISBN 978-3-642-36681-9
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $149.00
price for USA
  • ISBN 978-3-642-36680-2
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Rent the ebook  
  • Rental duration: 1 or 6 month
  • low-cost access
  • online reader with highlighting and note-making option
  • can be used across all devices
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Bibliographic Information

Bibliographic Information
Book Title
Formal Methods for Mining Structured Objects
Authors
Series Title
Studies in Computational Intelligence
Series Volume
475
Copyright
2013
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springe -Verlag Berlin Heidelberg
eBook ISBN
978-3-642-36681-9
DOI
10.1007/978-3-642-36681-9
Hardcover ISBN
978-3-642-36680-2
Series ISSN
1860-949X
Edition Number
1
Number of Pages
X, 109
Number of Illustrations and Tables
50 b/w illustrations
Topics