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122
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SIGKDD
2008
113views more  SIGKDD 2008»
15 years 18 days ago
On exploiting the power of time in data mining
We introduce the new paradigm of Change Mining as data mining over a volatile, evolving world with the objective of understanding change. While there is much work on incremental m...
Mirko Böttcher, Frank Höppner, Myra Spil...
110
Voted
ICIP
2005
IEEE
15 years 6 months ago
Mining arbitrary-length repeated patterns in television broadcast
Mining repeated patterns in television broadcast is important to advertisers in tracking a large number of television commercials. It can also benefit long-term archival of telev...
Sen-Ching S. Cheung, Thinh Nguyen
70
Voted
SAC
2010
ACM
15 years 7 months ago
A generative pattern model for mining binary datasets
In many application fields, huge binary datasets modeling real life-phenomena are daily produced. The dataset records are usually associated with observations of some events, and...
Claudio Lucchese, Salvatore Orlando, Raffaele Pere...
SDM
2009
SIAM
170views Data Mining» more  SDM 2009»
15 years 10 months ago
Mining Complex Spatio-Temporal Sequence Patterns.
Mining sequential movement patterns describing group behaviour in potentially streaming spatio-temporal data sets is a challenging problem. Movements are typically noisy and often...
Florian Verhein
ICTAI
2006
IEEE
15 years 6 months ago
Sustained Emerging Spatio-Temporal Co-occurrence Pattern Mining: A Summary of Results
Sustained emerging spatio-temporal co-occurrence patterns (SECOPs) represent subsets of object-types that are increasingly located together in space and time. Discovering SECOPs i...
Mete Celik, Shashi Shekhar, James P. Rogers, James...