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SDM
2011
SIAM
414views Data Mining» more  SDM 2011»
12 years 11 months ago
Clustered low rank approximation of graphs in information science applications
In this paper we present a fast and accurate procedure called clustered low rank matrix approximation for massive graphs. The procedure involves a fast clustering of the graph and...
Berkant Savas, Inderjit S. Dhillon
KDD
2009
ACM
364views Data Mining» more  KDD 2009»
14 years 9 months ago
Causality quantification and its applications: structuring and modeling of multivariate time series
Time series prediction is an important issue in a wide range of areas. There are various real world processes whose states vary continuously, and those processes may have influenc...
Takashi Shibuya, Tatsuya Harada, Yasuo Kuniyoshi
ACSAC
2006
IEEE
14 years 2 months ago
Towards Database Firewall: Mining the Damage Spreading Patterns
Access control and integrity constraints are well known approaches to ensure data integrity in commercial database systems. However, due to operational mistakes, malicious intent ...
Kun Bai, Peng Liu
KDD
2012
ACM
257views Data Mining» more  KDD 2012»
11 years 11 months ago
Aggregating web offers to determine product prices
Historical prices are important information that can help consumers decide whether the time is right to buy a product. They provide both a context to the users, and facilitate the...
Rakesh Agrawal, Samuel Ieong
KDD
2004
ACM
285views Data Mining» more  KDD 2004»
14 years 2 months ago
Effective localized regression for damage detection in large complex mechanical structures
In this paper, we propose a novel data mining technique for the efficient damage detection within the large-scale complex mechanical structures. Every mechanical structure is defi...
Aleksandar Lazarevic, Ramdev Kanapady, Chandrika K...