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Carte Knowledge Discovery from Interval Sequence Data Edi Winarko

Knowledge Discovery from Interval Sequence Data

Methods for Discovering and Retrieving Temporal Rules

Autor: Edi Winarko
Limbă: engleză
Legare: Carte broșată
Editura: VDM Verlag Dr. Müller
Disponibilitate: La editor doar la comandă
Expediem în 17-27 zile
406.32 lei
This book addresses several issues related to the§pattern discovery from interval sequence data. Thi...

Informații despre carte

Autor
Edi Winarko
Limbă
engleză
Legare
Carte - Carte broșată
Publicat
2009
Pagini
220
EAN
9783639126822
Enbook ID
06821454
Editura
VDM Verlag Dr. Müller
Dimensiuni
150 x 220 x 13

Descriere completă

This book addresses several issues related to the§pattern discovery from interval sequence data. This§area of research has received relatively little§attention and there are still many issues that need§to be addressed. Three main issues that this book§considers include the definition of what constitutes§an interesting pattern in interval sequence data, the§efficient mining for patterns in the data, and the§identification of interesting patterns from a large§number of discovered patterns.§§In order to deal with these issues, we formulates the§problem of discovering rules, which we term richer§temporal association rules, from interval sequence§databases. Furthermore, we develops an efficient§algorithm, ARMADA, for discovering richer temporal§association rules. The algorithm utilizes a simple§index, and only requires at most two database scans.§A retrieval system is proposed to facilitate the§selection of interesting rules from a set of§discovered richer temporal association rules. This§book is useful for readers who are interested in§utilizing data mining methods for analyzing interval§sequence data.

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