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» Multi-Dimensional Relational Sequence Mining
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PKDD
2007
Springer
102views Data Mining» more  PKDD 2007»
15 years 8 months ago
Towards Data Mining Without Information on Knowledge Structure
Most knowledge discovery processes are biased since some part of the knowledge structure must be given before extraction. We propose a framework that avoids this bias by supporting...
Alexandre Vautier, Marie-Odile Cordier, Rene Quini...
PAKDD
2009
ACM
124views Data Mining» more  PAKDD 2009»
15 years 8 months ago
Dynamic Exponential Family Matrix Factorization
Abstract. We propose a new approach to modeling time-varying relational data such as e-mail transactions based on a dynamic extension of matrix factorization. To estimate effectiv...
Kohei Hayashi, Junichiro Hirayama, Shin Ishii
ICDM
2009
IEEE
233views Data Mining» more  ICDM 2009»
15 years 8 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 ...
120
Voted
JIIS
2006
147views more  JIIS 2006»
15 years 1 months ago
Mining sequential patterns from data streams: a centroid approach
In recent years, emerging applications introduced new constraints for data mining methods. These constraints are typical of a new kind of data: the data streams. In data stream pro...
Alice Marascu, Florent Masseglia
HICSS
2000
IEEE
155views Biometrics» more  HICSS 2000»
15 years 6 months ago
Mining Time Dependency Patterns in Clinical Pathways
Clinical pathways are widely adopted by many large hospitals around the world in order to provide high-quality patient treatment and reduce the length of hospital stay of each pat...
Fu-ren Lin, Shien-chao Chou, Shung-mei Pan, Yao-me...