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ICDM
2007
IEEE
97views Data Mining» more  ICDM 2007»
14 years 4 months ago
Supervised Learning by Training on Aggregate Outputs
Supervised learning is a classic data mining problem where one wishes to be be able to predict an output value associated with a particular input vector. We present a new twist on...
David R. Musicant, Janara M. Christensen, Jamie F....
ICDM
2005
IEEE
125views Data Mining» more  ICDM 2005»
14 years 3 months ago
A Thorough Experimental Study of Datasets for Frequent Itemsets
The discovery of frequent patterns is a famous problem in data mining. While plenty of algorithms have been proposed during the last decade, only a few contributions have tried to...
Frédéric Flouvat, Fabien De Marchi, ...
KDD
2005
ACM
119views Data Mining» more  KDD 2005»
14 years 3 months ago
LIPED: HMM-based life profiles for adaptive event detection
In this paper, the proposed LIPED (LIfe Profile based Event Detection) employs the concept of life profiles to predict the activeness of event for effective event detection. A gro...
Chien Chin Chen, Meng Chang Chen, Ming-Syan Chen
KDD
2010
ACM
218views Data Mining» more  KDD 2010»
14 years 2 months ago
Online multiscale dynamic topic models
We propose an online topic model for sequentially analyzing the time evolution of topics in document collections. Topics naturally evolve with multiple timescales. For example, so...
Tomoharu Iwata, Takeshi Yamada, Yasushi Sakurai, N...
KDD
2010
ACM
275views Data Mining» more  KDD 2010»
14 years 1 months ago
Combined regression and ranking
Many real-world data mining tasks require the achievement of two distinct goals when applied to unseen data: first, to induce an accurate preference ranking, and second to give g...
D. Sculley