Sciweavers

KDD
2004
ACM
126views Data Mining» more  KDD 2004»
14 years 9 months ago
Efficient closed pattern mining in the presence of tough block constraints
In recent years, various constrained frequent pattern mining problem formulations and associated algorithms have been developed that enable the user to specify various itemsetbase...
Krishna Gade, Jianyong Wang, George Karypis
KDD
2004
ACM
106views Data Mining» more  KDD 2004»
14 years 9 months ago
Early detection of insider trading in option markets
"Inside information" comes in many forms: knowledge of a corporate takeover, a terrorist attack, unexpectedly poor earnings, the FDA's acceptance of a new drug, etc...
Steve Donoho
KDD
2004
ACM
144views Data Mining» more  KDD 2004»
14 years 9 months ago
IncSpan: incremental mining of sequential patterns in large database
Many real life sequence databases, such as customer shopping sequences, medical treatment sequences, etc., grow incrementally. It is undesirable to mine sequential patterns from s...
Hong Cheng, Xifeng Yan, Jiawei Han
KDD
2004
ACM
190views Data Mining» more  KDD 2004»
14 years 9 months ago
Kernel k-means: spectral clustering and normalized cuts
Kernel k-means and spectral clustering have both been used to identify clusters that are non-linearly separable in input space. Despite significant research, these methods have re...
Inderjit S. Dhillon, Yuqiang Guan, Brian Kulis
KDD
2004
ACM
118views Data Mining» more  KDD 2004»
14 years 9 months ago
Parallel computation of high dimensional robust correlation and covariance matrices
The computation of covariance and correlation matrices are critical to many data mining applications and processes. Unfortunately the classical covariance and correlation matrices...
James Chilson, Raymond T. Ng, Alan Wagner, Ruben H...
KDD
2004
ACM
112views Data Mining» more  KDD 2004»
14 years 9 months ago
A rank sum test method for informative gene discovery
Finding informative genes from microarray data is an important research problem in bioinformatics research and applications. Most of the existing methods rank features according t...
Lin Deng, Jian Pei, Jinwen Ma, Dik Lun Lee
KDD
2004
ACM
89views Data Mining» more  KDD 2004»
14 years 9 months ago
Fully automatic cross-associations
Deepayan Chakrabarti, Spiros Papadimitriou, Dharme...
KDD
2004
ACM
192views Data Mining» more  KDD 2004»
14 years 9 months ago
Mining and summarizing customer reviews
Merchants selling products on the Web often ask their customers to review the products that they have purchased and the associated services. As e-commerce is becoming more and mor...
Minqing Hu, Bing Liu
KDD
2004
ACM
207views Data Mining» more  KDD 2004»
14 years 9 months ago
Belief state approaches to signaling alarms in surveillance systems
Surveillance systems have long been used to monitor industrial processes and are becoming increasingly popular in public health and anti-terrorism applications. Most early detecti...
Kaustav Das, Andrew W. Moore, Jeff G. Schneider
KDD
2004
ACM
151views Data Mining» more  KDD 2004»
14 years 9 months ago
Feature selection in scientific applications
Numerous applications of data mining to scientific data involve the induction of a classification model. In many cases, the collection of data is not performed with this task in m...
Erick Cantú-Paz, Shawn Newsam, Chandrika Ka...