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» Relational XES: Data Management for Process Mining
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KDD
2003
ACM
160views Data Mining» more  KDD 2003»
16 years 4 months ago
Playing hide-and-seek with correlations
We present a method for very high-dimensional correlation analysis. The method relies equally on rigorous search strategies and on human interaction. At each step, the method cons...
Chris Jermaine
240
Voted
GIS
2008
ACM
16 years 5 months ago
Mining user similarity based on location history
The pervasiveness of location-acquisition technologies (GPS, GSM networks, etc.) enable people to conveniently log the location histories they visited with spatio-temporal data. T...
Quannan Li, Yu Zheng, Xing Xie, Yukun Chen, Wenyu ...
DOLAP
2004
ACM
15 years 10 months ago
Beyond data warehousing: what's next in business intelligence?
During the last ten years the approach to business management has deeply changed, and companies have understood the importance of enforcing achievement of the goals defined by the...
Matteo Golfarelli, Stefano Rizzi, Iuris Cella
157
Voted
ML
2010
ACM
210views Machine Learning» more  ML 2010»
15 years 2 months ago
Mining frequent closed rooted trees
Many knowledge representation mechanisms are based on tree-like structures, thus symbolizing the fact that certain pieces of information are related in one sense or another. There ...
José L. Balcázar, Albert Bifet, Anto...
DKE
2006
125views more  DKE 2006»
15 years 4 months ago
Online clustering of parallel data streams
In recent years, the management and processing of so-called data streams has become a topic of active research in several fields of computer science such as, e.g., distributed sys...
Jürgen Beringer, Eyke Hüllermeier