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IASSE
2004
13 years 8 months ago
A Model for Multi-relational Data Mining on Demand Forecasting
Accurate demand forecasting remains difficult and challenging in today's competitive and dynamic business environment, but even a little improvement in demand prediction may ...
Qin Ding, Bhavin Parikh
SDM
2007
SIAM
107views Data Mining» more  SDM 2007»
13 years 8 months ago
On Demand Phenotype Ranking through Subspace Clustering
High throughput biotechnologies have enabled scientists to collect a large number of genetic and phenotypic attributes for a large collection of samples. Computational methods are...
Xiang Zhang, Wei Wang 0010, Jun Huan
FLAIRS
2001
13 years 8 months ago
Knowledge on Demand: Human Language Technology for Knowledge and Expertise Discovery
For several years wehave been pursuing a vision of knowledgeon demand,the ability for all users to access knowledgeregardlessof time, location, deviceor level of expertise. This p...
Mark T. Maybury
ICDE
2008
IEEE
135views Database» more  ICDE 2008»
14 years 8 months ago
RiTE: Providing On-Demand Data for Right-Time Data Warehousing
Christian Thomsen, Torben Bach Pedersen, Wolfgang ...
SSD
1999
Springer
105views Database» more  SSD 1999»
13 years 11 months ago
Requirements of Traffic Telematics to Spatial Databases
Traffic telematics comprises services like traffic information, navigation, and emergency call services. Providers of such services need large spatial databases especially for the ...
Thomas Brinkhoff