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JDWM
2010
139views more  JDWM 2010»
13 years 8 months ago
Mining Frequent Generalized Patterns for Web Personalization in the Presence of Taxonomies
The Web is a continuously evolving environment, since its content is updated on a regular basis. As a result, the traditional usagebased approach to generate recommendations that ...
Panagiotis Giannikopoulos, Iraklis Varlamis, Magda...
FQAS
2000
Springer
137views Database» more  FQAS 2000»
14 years 1 months ago
Towards the Tractable Discovery of Association Rules with Negations
Frequent association rules (e.g., AB C to say that when properties A and B are true in a record then, C tends to be also true) have become a popular way to summarize huge datasets...
Jean-François Boulicaut, Artur Bykowski, Ba...
IFIP12
2008
13 years 11 months ago
Mining Fuzzy Association Rules from Composite Items
This paper presents an approach for mining fuzzy Association Rules (ARs) relating the properties of composite items, i.e. items that each feature a number of values derived from a ...
M. Sulaiman Khan, Maybin K. Muyeba, Frans Coenen
ADMA
2008
Springer
152views Data Mining» more  ADMA 2008»
14 years 4 months ago
MPSQAR: Mining Quantitative Association Rules Preserving Semantics
To avoid the loss of semantic information due to the partition of quantitative values, this paper proposes a novel algorithm, called MPSQAR, to handle the quantitative association ...
Chunqiu Zeng, Jie Zuo, Chuan Li, Kaikuo Xu, Shengq...
EDM
2010
145views Data Mining» more  EDM 2010»
13 years 11 months ago
Mining Rare Association Rules from e-Learning Data
Rare association rules are those that only appear infrequently even though they are highly associated with very specific data. In consequence, these rules can be very appropriate f...
Cristóbal Romero, José Raúl R...