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DAWAK
2000
Springer
15 years 8 months ago
Enhancing Preprocessing in Data-Intensive Domains using Online-Analytical Processing
Abstract The application of data mining algorithms needs a goal-oriented preprocessing of the data. In practical applications the preprocessing task is very time consuming and has ...
Alexander Maedche, Andreas Hotho, Markus Wiese
KDD
2005
ACM
91views Data Mining» more  KDD 2005»
16 years 4 months ago
On mining cross-graph quasi-cliques
Joint mining of multiple data sets can often discover interesting, novel, and reliable patterns which cannot be obtained solely from any single source. For example, in cross-marke...
Jian Pei, Daxin Jiang, Aidong Zhang
KDD
2003
ACM
195views Data Mining» more  KDD 2003»
16 years 4 months ago
Visualizing changes in the structure of data for exploratory feature selection
Using visualization techniques to explore and understand high-dimensional data is an efficient way to combine human intelligence with the immense brute force computation power ava...
Elias Pampalk, Werner Goebl, Gerhard Widmer
HPDC
2006
IEEE
15 years 10 months ago
Troubleshooting Distributed Systems via Data Mining
Through massive parallelism, distributed systems enable the multiplication of productivity. Unfortunately, increasing the scale of available machines to users will also multiply d...
David A. Cieslak, Douglas Thain, Nitesh V. Chawla
KDD
1994
ACM
82views Data Mining» more  KDD 1994»
15 years 8 months ago
Architectural Support for Data Mining
Oneof the mainobstacles in applying data mining techniques to large, real-world databasesis the lack of efficient data management.In this paper, wepresent the design and implement...
Marcel Holsheimer, Martin L. Kersten