Sciweavers

12 search results - page 1 / 3
» Mining Class-Correlated Patterns for Sequence Labeling
Sort
View
DIS
2010
Springer
13 years 3 months ago
Mining Class-Correlated Patterns for Sequence Labeling
Sequence labeling is the task of assigning a label sequence to an observation sequence. Since many methods to solve this problem depend on the specification of predictive features...
Thomas Hopf, Stefan Kramer
GFKL
2007
Springer
184views Data Mining» more  GFKL 2007»
13 years 8 months ago
FSMTree: An Efficient Algorithm for Mining Frequent Temporal Patterns
Research in the field of knowledge discovery from temporal data recently focused on a new type of data: interval sequences. In contrast to event sequences interval sequences contai...
Steffen Kempe, Jochen Hipp, Rudolf Kruse
WSDM
2012
ACM
207views Data Mining» more  WSDM 2012»
12 years 4 days ago
Sequence clustering and labeling for unsupervised query intent discovery
One popular form of semantic search observed in several modern search engines is to recognize query patterns that trigger instant answers or domain-specific search, producing sem...
Jackie Chi Kit Cheung, Xiao Li
ICDM
2009
IEEE
233views Data Mining» more  ICDM 2009»
13 years 11 months ago
Semi-Supervised Sequence Labeling with Self-Learned Features
—Typical information extraction (IE) systems can be seen as tasks assigning labels to words in a natural language sequence. The performance is restricted by the availability of l...
Yanjun Qi, Pavel Kuksa, Ronan Collobert, Kunihiko ...
SYRCODIS
2007
99views Database» more  SYRCODIS 2007»
13 years 5 months ago
Association Rules Discovery in Multivariate Time Series
A problem of association rules discovery in a multivariate time series is considered in this paper. A method for finding interpretable association rules between frequent qualitati...
Elena Lutsiv