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SAC
2009
ACM
14 years 3 months ago
Combining statistics and semantics via ensemble model for document clustering
Incorporating background knowledge into data mining algorithms is an important but challenging problem. Current approaches in semi-supervised learning require explicit knowledge p...
Samah Jamal Fodeh, William F. Punch, Pang-Ning Tan
ER
2010
Springer
129views Database» more  ER 2010»
13 years 7 months ago
Specifying Aggregation Functions in Multidimensional Models with OCL
Multidimensional models are at the core of data warehouse systems, since they allow decision makers to early define the relevant information and queries that are required to satis...
Jordi Cabot, Jose-Norberto Mazón, Jes&uacut...
SIGMOD
2007
ACM
149views Database» more  SIGMOD 2007»
14 years 9 months ago
BIwTL: a business information warehouse toolkit and language for warehousing simplification and automation
Rapidly leveraging information analytics technologies to mine the mounting information in structured and unstructured forms, derive business insights and improve decision making i...
Bin He, Rui Wang, Ying Chen, Ana Lelescu, James Rh...
DAWAK
2008
Springer
13 years 10 months ago
Efficient Data Distribution for DWS
The DWS (Data Warehouse Striping) technique is a data partitioning approach especially designed for distributed data warehousing environments. In DWS the fact tables are distribute...
Raquel Almeida, Jorge Vieira, Marco Vieira, Henriq...
CBMS
2007
IEEE
14 years 3 months ago
A Large Scale Data Mining Approach to Antibiotic Resistance Surveillance
One of the most considerable functions in a hospital's infection control program is the surveillance of antibiotic resistance. Several traditional methods used to measure it ...
Eugenia G. Giannopoulou, Vasileios P. Kemerlis, Mi...