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FIMI
2004
123views Data Mining» more  FIMI 2004»
15 years 6 months ago
Surprising Results of Trie-based FIM Algorithms
Trie is a popular data structure in frequent itemset mining (FIM) algorithms. It is memory-efficient, and allows fast construction and information retrieval. Many trie-related tec...
Ferenc Bodon
ICDE
2005
IEEE
194views Database» more  ICDE 2005»
16 years 6 months ago
Sentiment Mining in WebFountain
WebFountain is a platform for very large-scale text analytics applications that allows uniform access to a wide variety of sources. It enables the deployment of a variety of docum...
Jeonghee Yi, Wayne Niblack
DATAMINE
2010
133views more  DATAMINE 2010»
15 years 4 months ago
Using background knowledge to rank itemsets
Assessing the quality of discovered results is an important open problem in data mining. Such assessment is particularly vital when mining itemsets, since commonly many of the disc...
Nikolaj Tatti, Michael Mampaey
131
Voted
DAWAK
2005
Springer
15 years 10 months ago
Gene Expression Biclustering Using Random Walk Strategies
A biclustering algorithm, based on a greedy technique and enriched with a local search strategy to escape poor local minima, is proposed. The algorithm starts with an initial rando...
Fabrizio Angiulli, Clara Pizzuti
115
Voted
KDD
2009
ACM
160views Data Mining» more  KDD 2009»
15 years 11 months ago
Clustering event logs using iterative partitioning
The importance of event logs, as a source of information in systems and network management cannot be overemphasized. With the ever increasing size and complexity of today’s even...
Adetokunbo Makanju, A. Nur Zincir-Heywood, Evangel...