Advances in Mining Graphs, Trees and Sequences (häftad)
Format
Häftad (Paperback / softback)
Språk
Engelska
Antal sidor
220
Utgivningsdatum
2005-01-01
Upplaga
illustrated ed
Förlag
IOS Press,US
Medarbetare
Kok, Joost N. / Raedt, Luc De
Illustrationer
Illustrations
Dimensioner
246 x 189 x 12 mm
Vikt
400 g
Antal komponenter
1
Komponenter
50:B&W 7.44 x 9.69 in or 246 x 189 mm (Crown 4vo) Perfect Bound on White w/Gloss Lam
ISSN
0922-6389
ISBN
9781586035280
Advances in Mining Graphs, Trees and Sequences (häftad)

Advances in Mining Graphs, Trees and Sequences

Häftad Engelska, 2005-01-01
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Ever since the early days of machine learning and data mining, it has been realized that the traditional attribute-value and item-set representations are too limited for many practical applications in domains such as chemistry, biology, network analysis and text mining. This has triggered a lot of research on mining and learning within alternative and more expressive representation formalisms such as computational logic, relational algebra, graphs, trees and sequences. The motivation for using graphs, trees and sequences. Is that they are 1) more expressive than flat representations, and 2) potentially more efficient than multi-relational learning and mining techniques. At the same time, the data structures of graphs, trees and sequences are among the best understood and most widely applied representations within computer science. Thus these representations offer ideal opportunities for developing interesting contributions in data mining and machine learning that are both theoretically well-founded and widely applicable. The goal of this book is to collect recent outstanding studies on mining and learning within graphs, trees and sequences in studies worldwide.
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