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» Efficient Frequent Pattern Mining in Relational Databases
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KDID
2004
132views Database» more  KDID 2004»
13 years 9 months ago
An Automata Approach to Pattern Collections
Condensed representations of pattern collections have been recognized to be important building blocks of inductive databases, a promising theoretical framework for data mining, and...
Taneli Mielikäinen
ICTAI
2006
IEEE
14 years 1 months ago
Sustained Emerging Spatio-Temporal Co-occurrence Pattern Mining: A Summary of Results
Sustained emerging spatio-temporal co-occurrence patterns (SECOPs) represent subsets of object-types that are increasingly located together in space and time. Discovering SECOPs i...
Mete Celik, Shashi Shekhar, James P. Rogers, James...
HICSS
2000
IEEE
155views Biometrics» more  HICSS 2000»
14 years 5 days 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...
CIKM
2010
Springer
13 years 6 months ago
Mining interesting link formation rules in social networks
Link structures are important patterns one looks out for when modeling and analyzing social networks. In this paper, we propose the task of mining interesting Link Formation rules...
Cane Wing-ki Leung, Ee-Peng Lim, David Lo, Jianshu...
KAIS
2010
139views more  KAIS 2010»
13 years 6 months ago
Periodic subgraph mining in dynamic networks
In systems of interacting entities such as social networks, interactions that occur regularly typically correspond to significant, yet often infrequent and hard to detect, interact...
Mayank Lahiri, Tanya Y. Berger-Wolf