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MLDM
2005
Springer
14 years 1 months ago
Using Clustering to Learn Distance Functions for Supervised Similarity Assessment
Assessing the similarity between objects is a prerequisite for many data mining techniques. This paper introduces a novel approach to learn distance functions that maximizes the c...
Christoph F. Eick, Alain Rouhana, Abraham Bagherje...
VLDB
2005
ACM
136views Database» more  VLDB 2005»
14 years 1 months ago
On k-Anonymity and the Curse of Dimensionality
In recent years, the wide availability of personal data has made the problem of privacy preserving data mining an important one. A number of methods have recently been proposed fo...
Charu C. Aggarwal
SAC
2004
ACM
14 years 1 months ago
Forest trees for on-line data
This paper presents an hybrid adaptive system for induction of forest of trees from data streams. The Ultra Fast Forest Tree system (UFFT) is an incremental algorithm, with consta...
João Gama, Pedro Medas, Ricardo Rocha
ICS
2004
Tsinghua U.
14 years 1 months ago
EXPERT: expedited simulation exploiting program behavior repetition
Studying program behavior is a central component in architectural designs. In this paper, we study and exploit one aspect of program behavior, the behavior repetition, to expedite...
Wei Liu, Michael C. Huang
KDD
2004
ACM
198views Data Mining» more  KDD 2004»
14 years 29 days ago
Mining traffic data from probe-car system for travel time prediction
We are developing a technique to predict travel time of a vehicle for an objective road section, based on real time traffic data collected through a probe-car system. In the area ...
Takayuki Nakata, Jun-ichi Takeuchi