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JIIS
2006
147views more  JIIS 2006»
15 years 4 months ago
Mining sequential patterns from data streams: a centroid approach
In recent years, emerging applications introduced new constraints for data mining methods. These constraints are typical of a new kind of data: the data streams. In data stream pro...
Alice Marascu, Florent Masseglia
175
Voted
IHI
2010
143views Healthcare» more  IHI 2010»
14 years 11 months ago
Mining and monitoring patterns of daily routines for assisted living in real world settings
In this paper we demonstrate a fully automated approach for discovering and monitoring patterns of daily activities. Discovering patterns of daily activities and tracking them can...
Parisa Rashidi, Diane J. Cook
DMIN
2006
138views Data Mining» more  DMIN 2006»
15 years 6 months ago
Mining Complete Hybrid Sequential Patterns
We discovered that the set of frequent hybrid sequential patterns obtained by previous researches is incomplete, due to the inapplicability of the Apriori principle. We design and ...
Chichang Jou
KDD
2008
ACM
138views Data Mining» more  KDD 2008»
16 years 5 months ago
Quantitative evaluation of approximate frequent pattern mining algorithms
Traditional association mining algorithms use a strict definition of support that requires every item in a frequent itemset to occur in each supporting transaction. In real-life d...
Rohit Gupta, Gang Fang, Blayne Field, Michael Stei...
KDD
2007
ACM
176views Data Mining» more  KDD 2007»
16 years 5 months ago
Mining correlated bursty topic patterns from coordinated text streams
Previous work on text mining has almost exclusively focused on a single stream. However, we often have available multiple text streams indexed by the same set of time points (call...
Xuanhui Wang, ChengXiang Zhai, Xiao Hu, Richard Sp...