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» A generative pattern model for mining binary datasets
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SDM
2003
SIAM
110views Data Mining» more  SDM 2003»
14 years 11 months ago
Mixture Models and Frequent Sets: Combining Global and Local Methods for 0-1 Data
We study the interaction between global and local techniques in data mining. Specifically, we study the collections of frequent sets in clusters produced by a probabilistic clust...
Jaakko Hollmén, Jouni K. Seppänen, Hei...
ICDM
2010
IEEE
267views Data Mining» more  ICDM 2010»
14 years 7 months ago
Personalizing Web Page Recommendation via Collaborative Filtering and Topic-Aware Markov Model
Web-page recommendation is to predict the next request of pages that Web users are potentially interested in when surfing the Web. This technique can guide Web users to find more u...
Qingyan Yang, Ju Fan, Jianyong Wang, Lizhu Zhou
DAWAK
2006
Springer
15 years 1 months ago
An Approximate Approach for Mining Recently Frequent Itemsets from Data Streams
Recently, the data stream, which is an unbounded sequence of data elements generated at a rapid rate, provides a dynamic environment for collecting data sources. It is likely that ...
Jia-Ling Koh, Shu-Ning Shin
CIB
2005
41views more  CIB 2005»
14 years 9 months ago
A Partial-Repeatability Approach to Data Mining
Unlike the data approached in traditional data mining activities, software data are featured with partial-repeatability or parepeatics, which is an invariant property that can neit...
Kai-Yuan Cai, Yunfei Yin, Shichao Zhang
SDM
2012
SIAM
355views Data Mining» more  SDM 2012»
13 years 3 days ago
Granger Causality Analysis in Irregular Time Series
Learning temporal causal structures between time series is one of the key tools for analyzing time series data. In many real-world applications, we are confronted with Irregular T...
Mohammad Taha Bahadori, Yan Liu