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» Mining Sequence Classifiers for Early Prediction
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KDD
2003
ACM
142views Data Mining» more  KDD 2003»
14 years 11 months ago
Frequent-subsequence-based prediction of outer membrane proteins
A number of medically important disease-causing bacteria (collectively called Gram-negative bacteria) are noted for the extra "outer" membrane that surrounds their cell....
Rong She, Fei Chen 0002, Ke Wang, Martin Ester, Je...
AUSDM
2007
Springer
145views Data Mining» more  AUSDM 2007»
14 years 5 months ago
Temporal Pattern Matching for the Prediction of Stock Prices
Time series data poses a significant variation to the traditional segmentation techniques of data mining because the observation is derived from multiple instances of the same und...
Richi Nayak, Paul te Braak
KDD
2009
ACM
196views Data Mining» more  KDD 2009»
14 years 5 months ago
WhereNext: a location predictor on trajectory pattern mining
The pervasiveness of mobile devices and location based services is leading to an increasing volume of mobility data. This side effect provides the opportunity for innovative meth...
Anna Monreale, Fabio Pinelli, Roberto Trasarti, Fo...
WSDM
2012
ACM
283views Data Mining» more  WSDM 2012»
12 years 6 months ago
The life and death of online groups: predicting group growth and longevity
We pose a fundamental question in understanding how to identify and design successful communities: What factors predict whether a community will grow and survive in the long term?...
Sanjay Ram Kairam, Dan J. Wang, Jure Leskovec
ICDM
2009
IEEE
233views Data Mining» more  ICDM 2009»
14 years 5 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 ...