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» Business Process Understanding: Mining Many Datasets
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IJCAI
2003
13 years 9 months ago
Gaussian Process Models of Spatial Aggregation Algorithms
Multi-level spatial aggregates are important for data mining in a variety of scientific and engineering applications, from analysis of weather data (aggregating temperature and p...
Naren Ramakrishnan, Christopher Bailey-Kellogg
UML
1998
Springer
13 years 11 months ago
Literate Modelling - Capturing Business Knowledge with the UML
At British Airways, we have found during several large OO projects documented using the UML that non-technical end-users, managers and business domain experts find it difficult to ...
Jim Arlow, Wolfgang Emmerich, John Quinn
DAWAK
2006
Springer
13 years 11 months ago
A Greedy Approach to Concurrent Processing of Frequent Itemset Queries
We consider the problem of concurrent execution of multiple frequent itemset queries. If such data mining queries operate on overlapping parts of the database, then their overall I...
Pawel Boinski, Marek Wojciechowski, Maciej Zakrzew...
PREMI
2007
Springer
14 years 1 months ago
Discovery of Process Models from Data and Domain Knowledge: A Rough-Granular Approach
The rapid expansion of the Internet has resulted not only in the ever-growing amount of data stored therein, but also in the burgeoning complexity of the concepts and phenomena per...
Andrzej Skowron
IDEAS
1999
IEEE
175views Database» more  IDEAS 1999»
13 years 11 months ago
A Parallel Scalable Infrastructure for OLAP and Data Mining
Decision support systems are important in leveraging information present in data warehouses in businesses like banking, insurance, retail and health-care among many others. The mu...
Sanjay Goil, Alok N. Choudhary