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KDD
2004
ACM
144views Data Mining» more  KDD 2004»
16 years 2 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
210views Data Mining» more  KDD 2004»
16 years 2 months ago
Probabilistic author-topic models for information discovery
We propose a new unsupervised learning technique for extracting information from large text collections. We model documents as if they were generated by a two-stage stochastic pro...
Mark Steyvers, Padhraic Smyth, Michal Rosen-Zvi, T...
110
Voted
ICS
2010
Tsinghua U.
15 years 11 months ago
Non-Malleable Codes
We introduce the notion of "non-malleable codes" which relaxes the notion of error-correction and errordetection. Informally, a code is non-malleable if the message cont...
Stefan Dziembowski, Krzysztof Pietrzak, Daniel Wic...
121
Voted
SDM
2009
SIAM
192views Data Mining» more  SDM 2009»
15 years 11 months ago
Mining Cohesive Patterns from Graphs with Feature Vectors.
The increasing availability of network data is creating a great potential for knowledge discovery from graph data. In many applications, feature vectors are given in addition to g...
Arash Rafiey, Flavia Moser, Martin Ester, Recep Co...
ICWS
2009
IEEE
15 years 11 months ago
Service Supervision: Coordinating Web Services in Open Environment
ite Web service designed based on abstract Web services, which define only interfaces, allows an application developer to select services required for his application only by set...
Masahiro Tanaka, Toru Ishida, Yohei Murakami, Sato...