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Knowledge Discovery from Interval Sequence Data

Name: Knowledge Discovery from Interval Sequence Data
Brand: VDM Verlag Dr. Müller
SKU: 9783639126822
Price: 77.6 EUR
Availability: InStock

Methods for Discovering and Retrieving Temporal Rules

Autor: Edi Winarko

Jazyk:

Väzba: Brožovaná

Vydavateľ: VDM Verlag Dr. Müller

Dostupnosť: U vydavateľa na objednávku

Odosielame za 17-27 dní

77.60 €

This book addresses several issues related to the§pattern discovery from interval sequence data. Thi...

Informácie o knihe

Autor

Edi Winarko

Jazyk

Angličtina

Väzba

Kniha - Brožovaná

Vydalo

2009

Stránok

220

EAN

9783639126822

Enbook ID

06821454

Vydavateľ

VDM Verlag Dr. Müller

Rozmery

150 x 220 x 13

Kompletný popis

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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Knowledge Discovery from Interval Sequence Data

Methods for Discovering and Retrieving Temporal Rules

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