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» Compression-based data mining of sequential data
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KDD
1998
ACM
122views Data Mining» more  KDD 1998»
14 years 26 days ago
Memory Placement Techniques for Parallel Association Mining
Many data mining tasks (e.g., Association Rules, Sequential Patterns) use complex pointer-based data structures (e.g., hash trees) that typically suffer from sub-optimal data loca...
Srinivasan Parthasarathy, Mohammed Javeed Zaki, We...
PKDD
2009
Springer
102views Data Mining» more  PKDD 2009»
14 years 3 months ago
A Generalization of Forward-Backward Algorithm
Structured prediction has become very important in recent years. A simple but notable class of structured prediction is one for sequences, so-called sequential labeling. For sequen...
Ai Azuma, Yuji Matsumoto
ALMOB
2006
102views more  ALMOB 2006»
13 years 8 months ago
Mining, compressing and classifying with extensible motifs
Background: Motif patterns of maximal saturation emerged originally in contexts of pattern discovery in biomolecular sequences and have recently proven a valuable notion also in t...
Alberto Apostolico, Matteo Comin, Laxmi Parida
DKE
2007
129views more  DKE 2007»
13 years 8 months ago
First-order temporal pattern mining with regular expression constraints
Previous studies on mining sequential patterns have focused on temporal patterns specified by some form of propositional temporal logic. However, there are some interesting seque...
Sandra de Amo, Daniel A. Furtado
KDD
2004
ACM
163views Data Mining» more  KDD 2004»
14 years 9 months ago
Exploiting dictionaries in named entity extraction: combining semi-Markov extraction processes and data integration methods
We consider the problem of improving named entity recognition (NER) systems by using external dictionaries--more specifically, the problem of extending state-of-the-art NER system...
William W. Cohen, Sunita Sarawagi