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KDD
2008
ACM
181views Data Mining» more  KDD 2008»
16 years 7 days ago
Learning subspace kernels for classification
Kernel methods have been applied successfully in many data mining tasks. Subspace kernel learning was recently proposed to discover an effective low-dimensional subspace of a kern...
Jianhui Chen, Shuiwang Ji, Betul Ceran, Qi Li, Min...
KDD
2007
ACM
566views Data Mining» more  KDD 2007»
16 years 7 days ago
IMDS: intelligent malware detection system
The proliferation of malware has presented a serious threat to the security of computer systems. Traditional signature-based antivirus systems fail to detect polymorphic and new, ...
Yanfang Ye, Dingding Wang, Tao Li, Dongyi Ye
KDD
2004
ACM
144views Data Mining» more  KDD 2004»
16 years 7 days 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
114views Data Mining» more  KDD 2004»
16 years 7 days ago
Scalable mining of large disk-based graph databases
Mining frequent structural patterns from graph databases is an interesting problem with broad applications. Most of the previous studies focus on pruning unfruitful search subspac...
Chen Wang, Wei Wang 0009, Jian Pei, Yongtai Zhu, B...
CHI
2006
ACM
16 years 6 days ago
Interweaving mobile games with everyday life
We introduce a location?based game called Feeding Yoshi that provides an example of seamful design, in which key characteristics of its underlying technologies--the coverage and s...
Marek Bell, Matthew Chalmers, Louise Barkhuus, Mal...