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KDD
2002
ACM
171views Data Mining» more  KDD 2002»
16 years 6 months ago
Mining complex models from arbitrarily large databases in constant time
In this paper we propose a scaling-up method that is applicable to essentially any induction algorithm based on discrete search. The result of applying the method to an algorithm ...
Geoff Hulten, Pedro Domingos
SIGMOD
2005
ACM
161views Database» more  SIGMOD 2005»
16 years 6 months ago
Mining Top-k Covering Rule Groups for Gene Expression Data
In this paper, we propose a novel algorithm to discover the topk covering rule groups for each row of gene expression profiles. Several experiments on real bioinformatics datasets...
Gao Cong, Kian-Lee Tan, Anthony K. H. Tung, Xin Xu
ICDM
2007
IEEE
131views Data Mining» more  ICDM 2007»
16 years 24 days ago
Parallel Mining of Frequent Closed Patterns: Harnessing Modern Computer Architectures
Inspired by emerging multi-core computer architectures, in this paper we present MT CLOSED, a multi-threaded algorithm for frequent closed itemset mining (FCIM). To the best of ou...
Claudio Lucchese, Salvatore Orlando, Raffaele Pere...
AUSDM
2007
Springer
112views Data Mining» more  AUSDM 2007»
16 years 20 days ago
Measuring Data-Driven Ontology Changes using Text Mining
Most current ontology management systems concentrate on detecting usage-driven changes and representing changes formally in order to maintain the consistency. In this paper, we pr...
Majigsuren Enkhsaikhan, Wilson Wong, Wei Liu, Mark...
ER
2007
Springer
128views Database» more  ER 2007»
16 years 19 days ago
Dynamic Modeling of Trajectory Patterns using Data Mining and Reverse Engineering
The constant increase of moving object data imposes the need for modeling, processing, and mining trajectories, in order to find and understand the patterns behind these data. Ex...
Luis Otávio Alvares, Vania Bogorny, Jos&eac...