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SDM
2007
SIAM
149views Data Mining» more  SDM 2007»
15 years 7 months ago
WAT: Finding Top-K Discords in Time Series Database
Finding discords in time series database is an important problem in a great variety of applications, such as space shuttle telemetry, mechanical industry, biomedicine, and financ...
Yingyi Bu, Oscar Tat-Wing Leung, Ada Wai-Chee Fu, ...
PKDD
2010
Springer
150views Data Mining» more  PKDD 2010»
15 years 4 months ago
Virus Propagation on Time-Varying Networks: Theory and Immunization Algorithms
Given a contact network that changes over time (say, day vs night connectivity), and the SIS (susceptible/infected/susceptible, flu like) virus propagation model, what can we say ...
B. Aditya Prakash, Hanghang Tong, Nicholas Valler,...
WIDM
2011
ACM
15 years 1 months ago
Filtered-top-k association discovery
Association mining has been one of the most intensively researched areas of data mining. However, direct uptake of the resulting technologies has been relatively low. This paper e...
Geoffrey I. Webb
AI
2003
Springer
15 years 11 months ago
Explanation-Oriented Association Mining Using a Combination of Unsupervised and Supervised Learning Algorithms
We propose a new framework of explanation-oriented data mining by adding an explanation construction and evaluation phase to the data mining process. While traditional approaches c...
Yiyu Yao, Yan Zhao, R. Brien Maguire
DATAMINE
2007
103views more  DATAMINE 2007»
15 years 6 months ago
Relational peculiarity-oriented mining
Peculiarity rules are a new type of useful knowledge that can be discovered by searching the relevance among peculiar data. A main task in mining such knowledge is peculiarity iden...
Muneaki Ohshima, Ning Zhong, Yiyu Yao, Chunnian Li...