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140
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IDA
2007
Springer
15 years 3 months ago
Removing biases in unsupervised learning of sequential patterns
Unsupervised sequence learning is important to many applications. A learner is presented with unlabeled sequential data, and must discover sequential patterns that characterize th...
Yoav Horman, Gal A. Kaminka
134
Voted
DMKD
2000
ACM
110views Data Mining» more  DMKD 2000»
15 years 8 months ago
Combining Strategies for Extracting Relations from Text Collections
Text documents often contain valuable structured data that is hidden in regular English sentences. This data is best exploited if available as a relational table that we could use...
Eugene Agichtein, Eleazar Eskin, Luis Gravano
ICDE
2009
IEEE
188views Database» more  ICDE 2009»
16 years 5 months ago
GuruMine: A Pattern Mining System for Discovering Leaders and Tribes
In this demo we introduce GuruMine, a pattern mining system for the discovery of leaders, i.e., influential users in social networks, and their tribes, i.e., a set of users usually...
Amit Goyal 0002, Byung-Won On, Francesco Bonchi, L...
243
Voted
ECOOP
2009
Springer
16 years 4 months ago
MAPO: Mining and Recommending API Usage Patterns
To improve software productivity, when constructing new software systems, programmers often reuse existing libraries or frameworks by invoking methods provided in their APIs. Those...
Hao Zhong, Tao Xie, Lu Zhang, Jian Pei, Hong Mei
128
Voted
GECCO
2005
Springer
141views Optimization» more  GECCO 2005»
15 years 9 months ago
Constructing good learners using evolved pattern generators
Self-organization of brain areas in animals begins prenatally, evidently driven by spontaneously generated internal patterns. The neural structures continue to develop postnatally...
Vinod K. Valsalam, James A. Bednar, Risto Miikkula...