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KDD
2003
ACM
111views Data Mining» more  KDD 2003»
15 years 10 months ago
Critical event prediction for proactive management in large-scale computer clusters
Adam J. Oliner, Anand Sivasubramaniam, Irina Rish,...
82
Voted
IDEAL
2003
Springer
15 years 3 months ago
Experiences of Using a Quantitative Approach for Mining Association Rules
In recent years interest has grown in “mining” large databases to extract novel and interesting information. Knowledge Discovery in Databases (KDD) has been recognised as an em...
L. Dong, Christos Tjortjis
KDD
2003
ACM
210views Data Mining» more  KDD 2003»
15 years 10 months ago
Privacy-preserving k-means clustering over vertically partitioned data
Privacy and security concerns can prevent sharing of data, derailing data mining projects. Distributed knowledge discovery, if done correctly, can alleviate this problem. The key ...
Jaideep Vaidya, Chris Clifton
73
Voted
KDD
2003
ACM
113views Data Mining» more  KDD 2003»
15 years 10 months ago
Using randomized response techniques for privacy-preserving data mining
Privacy is an important issue in data mining and knowledge discovery. In this paper, we propose to use the randomized response techniques to conduct the data mining computation. S...
Wenliang Du, Zhijun Zhan
KDD
2003
ACM
129views Data Mining» more  KDD 2003»
15 years 10 months ago
Online novelty detection on temporal sequences
: Novelty detection, or anomaly detection, on temporal sequences has increasingly attracted attention from researchers in different areas. In this paper, we present a new framework...
Junshui Ma, Simon Perkins