Sciweavers

KDD
2009
ACM
159views Data Mining» more  KDD 2009»
14 years 5 months ago
Adapting the right measures for K-means clustering
Clustering validation is a long standing challenge in the clustering literature. While many validation measures have been developed for evaluating the performance of clustering al...
Junjie Wu, Hui Xiong, Jian Chen
KDD
2009
ACM
162views Data Mining» more  KDD 2009»
14 years 5 months ago
Augmenting the generalized hough transform to enable the mining of petroglyphs
Rock art is an archaeological term for human-made markings on stone. It is believed that there are millions of petroglyphs in North America alone, and the study of this valued cul...
Eamonn J. Keogh, Qiang Zhu 0002, Sang-Hee Lee, Xia...
KDD
2009
ACM
207views Data Mining» more  KDD 2009»
14 years 5 months ago
DynaMMo: mining and summarization of coevolving sequences with missing values
Given multiple time sequences with missing values, we propose DynaMMo which summarizes, compresses, and finds latent variables. The idea is to discover hidden variables and learn ...
Lei Li, James McCann, Nancy S. Pollard, Christos F...
KDD
2009
ACM
153views Data Mining» more  KDD 2009»
14 years 5 months ago
Predicting bounce rates in sponsored search advertisements
This paper explores an important and relatively unstudied quality measure of a sponsored search advertisement: bounce rate. The bounce rate of an ad can be informally defined as t...
D. Sculley, Robert G. Malkin, Sugato Basu, Roberto...
KDD
2009
ACM
181views Data Mining» more  KDD 2009»
14 years 5 months ago
Beyond blacklists: learning to detect malicious web sites from suspicious URLs
Justin Ma, Lawrence K. Saul, Stefan Savage, Geoffr...
KDD
2009
ACM
151views Data Mining» more  KDD 2009»
14 years 5 months ago
A LRT framework for fast spatial anomaly detection
Given a spatial data set placed on an n ? n grid, our goal is to find the rectangular regions within which subsets of the data set exhibit anomalous behavior. We develop algorithm...
Mingxi Wu, Xiuyao Song, Chris Jermaine, Sanjay Ran...
KDD
2009
ACM
188views Data Mining» more  KDD 2009»
14 years 5 months ago
Mining discrete patterns via binary matrix factorization
Mining discrete patterns in binary data is important for subsampling, compression, and clustering. We consider rankone binary matrix approximations that identify the dominant patt...
Bao-Hong Shen, Shuiwang Ji, Jieping Ye
KDD
2009
ACM
221views Data Mining» more  KDD 2009»
14 years 5 months ago
Migration motif: a spatial - temporal pattern mining approach for financial markets
A recent study by two prominent finance researchers, Fama and French, introduces a new framework for studying risk vs. return: the migration of stocks across size-value portfolio ...
Xiaoxi Du, Ruoming Jin, Liang Ding, Victor E. Lee,...
KDD
2009
ACM
180views Data Mining» more  KDD 2009»
14 years 5 months ago
Consensus group stable feature selection
Stability is an important yet under-addressed issue in feature selection from high-dimensional and small sample data. In this paper, we show that stability of feature selection ha...
Steven Loscalzo, Lei Yu, Chris H. Q. Ding
KDD
2009
ACM
192views Data Mining» more  KDD 2009»
14 years 5 months ago
Co-evolution of social and affiliation networks
In our work, we address the problem of modeling social network generation which explains both link and group formation. Recent studies on social network evolution propose generati...
Elena Zheleva, Hossam Sharara, Lise Getoor