375 search results - page 38 / 75 » Finding Sequential Patterns from Large Sequence Data |
KDD
2009
ACM
15 years 10 months ago
2009
ACM
Mining discrete patterns in binary data is important for subsampling, compression, and clustering. We consider rankone binary matrix approximations that identify the dominant patt...
BCB
2010
2010
Fast graph approaches to measure influenza transmission across geographically distributed host types
14 years 4 months ago
Recent advances in next generation sequencing are providing a number of large whole-genome sequence datasets stemming from globally distributed disease occurrences. This offers an...
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CIB
2002
14 years 9 months ago
2002
The web log data embed much of web users' browsing behavior. From the web logs, one can discover patterns that predict the users' future requests based on their current b...
PERCOM
2007
ACM
15 years 9 months ago
2007
ACM
Abstract. A major challenge in pervasive computing is to learn activity patterns, such as bathing and cleaning from sensor data. Typical sensor deployments generate sparse datasets...
109
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CIKM
2008
Springer
14 years 11 months ago
2008
Springer
Continuous time-series sequence matching, specifically, matching a numeric live stream against a set of predefined pattern sequences, is critical for domains ranging from fire spr...