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ICDM
2007
IEEE
132views Data Mining» more  ICDM 2007»
16 years 29 days ago
Granularity Conscious Modeling for Probabilistic Databases
The convergence of embedded sensor systems and stream query processing suggests an important role for database techniques, in managing data that only partially – and often inacc...
Eirinaios Michelakis, Daisy Zhe Wang, Minos N. Gar...
IPPS
2007
IEEE
16 years 28 days ago
Storage Optimization for Large-Scale Distributed Stream Processing Systems
We consider storage in an extremely large-scale distributed computer system designed for stream processing applications. In such systems, incoming data and intermediate results ma...
Kirsten Hildrum, Fred Douglis, Joel L. Wolf, Phili...
DOLAP
2004
ACM
16 years 2 days ago
An analysis of additivity in OLAP systems
Accurate summary data is of paramount concern in data warehouse systems; however, there have been few attempts to completely characterize the ability to summarize measures. The su...
John Horner, Il-Yeol Song, Peter P. Chen
KDD
2004
ACM
624views Data Mining» more  KDD 2004»
16 years 13 min ago
Programming the K-means clustering algorithm in SQL
Using SQL has not been considered an efficient and feasible way to implement data mining algorithms. Although this is true for many data mining, machine learning and statistical a...
Carlos Ordonez
IDEAS
2003
IEEE
106views Database» more  IDEAS 2003»
15 years 12 months ago
Frequent Itemsets Mining for Database Auto-Administration
With the wide development of databases in general and data warehouses in particular, it is important to reduce the tasks that a database administrator must perform manually. The a...
Kamel Aouiche, Jérôme Darmont, Le Gru...