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PKDD
2005
Springer
109views Data Mining» more  PKDD 2005»
15 years 10 months ago
An Imbalanced Data Rule Learner
Imbalanced data learning has recently begun to receive much attention from research and industrial communities as traditional machine learners no longer give satisfactory results. ...
Canh Hao Nguyen, Tu Bao Ho
CINQ
2004
Springer
125views Database» more  CINQ 2004»
15 years 10 months ago
The Hows, Whys, and Whens of Constraints in Itemset and Rule Discovery
Many researchers in our community (this author included) regularly emphasize the role constraints play in improving performance of data-mining algorithms. This emphasis has led to ...
Roberto J. Bayardo
DEXA
1998
Springer
97views Database» more  DEXA 1998»
15 years 8 months ago
Attribute-Pair Range Rules
This paper examines the properties of metadata in the form of IF THEN rules which contain two predicates on attributes of a relational database table. For example: a(15 .. 30) d(2...
Jerome Robinson, Barry G. T. Lowden
GECCO
2007
Springer
481views Optimization» more  GECCO 2007»
15 years 10 months ago
A hybrid PSO/ACO algorithm for classification
In a previous work we have proposed a hybrid Particle Swarm Optimisation/Ant Colony Optimisation (PSO/ACO) algorithm for the discovery of classification rules, in the context of d...
Nicholas Holden, Alex Alves Freitas
CINQ
2004
Springer
125views Database» more  CINQ 2004»
15 years 10 months ago
Deducing Bounds on the Support of Itemsets
Mining Frequent Itemsets is the core operation of many data mining algorithms. This operation however, is very data intensive and sometimes produces a prohibitively large output. I...
Toon Calders