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ICDM
2002
IEEE
128views Data Mining» more  ICDM 2002»
15 years 9 months ago
Mining Online Users? Access Records for Web Business Intelligence
This paper discusses about how business intelligence on a website could be obtained from users’ access records instead of web logs of “hits”. Users’ access records are cap...
Simon Fong, Serena Chan
TIP
2011
123views more  TIP 2011»
14 years 11 months ago
Spatial Sparsity-Induced Prediction (SIP) for Images and Video: A Simple Way to Reject Structured Interference
We propose a prediction technique that is geared toward forming successful estimates of a signal based on a correlated anchor signal that is contaminated with complex interference...
Gang Hua, Onur G. Guleryuz
KDD
2004
ACM
182views Data Mining» more  KDD 2004»
16 years 4 months ago
Rotation invariant distance measures for trajectories
For the discovery of similar patterns in 1D time-series, it is very typical to perform a normalization of the data (for example a transformation so that the data follow a zero mea...
Michail Vlachos, Dimitrios Gunopulos, Gautam Das
KDD
2007
ACM
209views Data Mining» more  KDD 2007»
16 years 4 months ago
Temporal causal modeling with graphical granger methods
The need for mining causality, beyond mere statistical correlations, for real world problems has been recognized widely. Many of these applications naturally involve temporal data...
Andrew Arnold, Yan Liu, Naoki Abe
HPDC
2002
IEEE
15 years 9 months ago
Decoupling Computation and Data Scheduling in Distributed Data-Intensive Applications
In high energy physics, bioinformatics, and other disciplines, we encounter applications involving numerous, loosely coupled jobs that both access and generate large data sets. So...
Kavitha Ranganathan, Ian T. Foster