917 search results - page 90 / 184 » Mining interesting sets and rules in relational databases |
120
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IASSE
2004
14 years 11 months ago
2004
Accurate demand forecasting remains difficult and challenging in today's competitive and dynamic business environment, but even a little improvement in demand prediction may ...
100
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CINQ
2004
Springer
15 years 3 months ago
2004
Springer
In this paper we present the application of the inductive database approach to two practical analytical case studies: Web usage mining in Web logs and financial data. As far as co...
JASIS
2000
14 years 9 months ago
2000
s In data mining, we emphasize the need for learning from huge, incomplete and imperfect data sets (Fayyad et al. 1996, Frawley et al. 1991, Piatetsky-Shapiro and Frawley, 1991). T...
117
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MOBIDE
2010
ACM
14 years 10 months ago
2010
ACM
A sensor's data loss or corruption, aka sensor data missing, is a common phenomenon in modern wireless sensor networks. It is more severe for multi-hop sensor network (MSN) a...
133
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VLDB
1997
ACM
15 years 2 months ago
1997
ACM
Spatial data mining, i.e., discovery of interesting characteristics and patterns that may implicitly exist in spatial databases, is a challenging task due to the huge amounts of s...