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» On Probabilistic Models for Uncertain Sequential Pattern Min...
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SDM
2003
SIAM
110views Data Mining» more  SDM 2003»
13 years 9 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...
KDD
2008
ACM
135views Data Mining» more  KDD 2008»
14 years 8 months ago
Effective and efficient itemset pattern summarization: regression-based approaches
In this paper, we propose a set of novel regression-based approaches to effectively and efficiently summarize frequent itemset patterns. Specifically, we show that the problem of ...
Ruoming Jin, Muad Abu-Ata, Yang Xiang, Ning Ruan
ICDE
2010
IEEE
290views Database» more  ICDE 2010»
13 years 12 months ago
The Model-Summary Problem and a Solution for Trees
Modern science is collecting massive amounts of data from sensors, instruments, and through computer simulation. It is widely believed that analysis of this data will hold the key ...
Biswanath Panda, Mirek Riedewald, Daniel Fink
KDD
2010
ACM
218views Data Mining» more  KDD 2010»
13 years 11 months ago
Online multiscale dynamic topic models
We propose an online topic model for sequentially analyzing the time evolution of topics in document collections. Topics naturally evolve with multiple timescales. For example, so...
Tomoharu Iwata, Takeshi Yamada, Yasushi Sakurai, N...
KDD
2002
ACM
136views Data Mining» more  KDD 2002»
14 years 8 months ago
Relational Markov models and their application to adaptive web navigation
Relational Markov models (RMMs) are a generalization of Markov models where states can be of different types, with each type described by a different set of variables. The domain ...
Corin R. Anderson, Pedro Domingos, Daniel S. Weld