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KDD
2008
ACM
183views Data Mining» more  KDD 2008»
14 years 10 months ago
A bayesian mixture model with linear regression mixing proportions
Classic mixture models assume that the prevalence of the various mixture components is fixed and does not vary over time. This presents problems for applications where the goal is...
Xiuyao Song, Chris Jermaine, Sanjay Ranka, John Gu...
KDD
2008
ACM
161views Data Mining» more  KDD 2008»
14 years 10 months ago
An inductive database prototype based on virtual mining views
We present a prototype of an inductive database. Our system enables the user to query not only the data stored in the database but also generalizations (e.g. rules or trees) over ...
Élisa Fromont, Adriana Prado, Bart Goethals...
SIGKDD
2000
92views more  SIGKDD 2000»
13 years 9 months ago
WEBKDD 2000 - Web Mining for E-Commerce
In this paper, we provide a summary of the WEBKDD 2000 workshop, whose theme was `Web Mining for E-Commerce'. This workshop was held in conjunction with the ACM SIGKDD Intern...
Myra Spiliopoulou, Jaideep Srivastava, Ron Kohavi,...
KDD
2008
ACM
186views Data Mining» more  KDD 2008»
14 years 10 months ago
Scalable and near real-time burst detection from eCommerce queries
In large scale online systems like Search, eCommerce, or social network applications, user queries represent an important dimension of activities that can be used to study the imp...
Nish Parikh, Neel Sundaresan
ISI
2008
Springer
13 years 9 months ago
Analysis of cyberactivism: A case study of online free Tibet activities
In this paper, we study the problem of anomaly detection in high-dimensional network streams. We have developed a new technique, called Stream Projected Ouliter deTector (SPOT), t...
Tianjun Fu, Hsinchun Chen