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» Mining Sequential Patterns across Time Sequences
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JMLR
2002
133views more  JMLR 2002»
13 years 9 months ago
Learning Precise Timing with LSTM Recurrent Networks
The temporal distance between events conveys information essential for numerous sequential tasks such as motor control and rhythm detection. While Hidden Markov Models tend to ign...
Felix A. Gers, Nicol N. Schraudolph, Jürgen S...
KDD
2012
ACM
164views Data Mining» more  KDD 2012»
12 years 5 days ago
SeqiBloc: mining multi-time spanning blockmodels in dynamic graphs
Blockmodelling is an important technique for decomposing graphs into sets of roles. Vertices playing the same role have similar patterns of interactions with vertices in other rol...
Jeffrey Chan, Wei Liu, Christopher Leckie, James B...
DAWAK
2006
Springer
14 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
BIBM
2007
IEEE
139views Bioinformatics» more  BIBM 2007»
14 years 1 months ago
Automatic Identification of Temporal Sequences in Chewing Sounds
Chewing is an essential part of food intake. The analysis and detection of food patterns is an important component of an automatic dietary monitoring system. However chewing is a t...
Oliver Amft, Martin Kusserow, Gerhard Tröster
KDD
2010
ACM
233views Data Mining» more  KDD 2010»
14 years 1 months ago
Evolutionary hierarchical dirichlet processes for multiple correlated time-varying corpora
Mining cluster evolution from multiple correlated time-varying text corpora is important in exploratory text analytics. In this paper, we propose an approach called evolutionary h...
Jianwen Zhang, Yangqiu Song, Changshui Zhang, Shix...