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» Computing LTS Regression for Large Data Sets
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DEXAW
1998
IEEE
116views Database» more  DEXAW 1998»
15 years 2 months ago
Data-Mining: A Tightly-Coupled Implementation on a Parallel Database Server
Due to the increasingly di culty of discovering patterns in real-world databases using only conventional OLAP tools, an automated process such as data mining is currently essentia...
Mauro Sousa, Marta Mattoso, Nelson F. F. Ebecken
KDD
2006
ACM
143views Data Mining» more  KDD 2006»
15 years 10 months ago
Algorithms for discovering bucket orders from data
Ordering and ranking items of different types are important tasks in various applications, such as query processing and scientific data mining. A total order for the items can be ...
Aristides Gionis, Heikki Mannila, Kai Puolamä...
DAWAK
2005
Springer
15 years 3 months ago
Automatic Selection of Bitmap Join Indexes in Data Warehouses
The queries defined on data warehouses are complex and use several join operations that induce an expensive computational cost. This cost becomes even more prohibitive when querie...
Kamel Aouiche, Jérôme Darmont, Omar B...
CIKM
2009
Springer
15 years 2 months ago
Query processing of massive trajectory data based on mapreduce
With the development of positioning technologies and the boosting deployment of inexpensive location-aware sensors, large volumes of trajectory data have emerged. However, efficie...
Qiang Ma, Bin Yang 0002, Weining Qian, Aoying Zhou
PKDD
2001
Springer
104views Data Mining» more  PKDD 2001»
15 years 2 months ago
Data Reduction Using Multiple Models Integration
Large amount of available information does not necessarily imply that induction algorithms must use all this information. Samples often provide the same accuracy with less computat...
Aleksandar Lazarevic, Zoran Obradovic