Sciweavers

149 search results - page 22 / 30
» Itemset Materializing for Fast Mining of Association Rules
Sort
View
FEGC
2008
104views Biometrics» more  FEGC 2008»
15 years 13 days ago
Mining Implications from Lattices of Closed Trees
We propose a way of extracting high-confidence association rules from datasets consisting of unlabeled trees. The antecedents are obtained through a computation akin to a hypergrap...
José L. Balcázar, Albert Bifet, Anto...
HIPC
2003
Springer
15 years 4 months ago
Parallel and Distributed Frequent Itemset Mining on Dynamic Datasets
Traditional methods for data mining typically make the assumption that data is centralized and static. This assumption is no longer tenable. Such methods waste computational and I/...
Adriano Veloso, Matthew Eric Otey, Srinivasan Part...
SDM
2003
SIAM
134views Data Mining» more  SDM 2003»
15 years 10 days ago
Hierarchical Document Clustering using Frequent Itemsets
A major challenge in document clustering is the extremely high dimensionality. For example, the vocabulary for a document set can easily be thousands of words. On the other hand, ...
Benjamin C. M. Fung, Ke Wang, Martin Ester
BMCBI
2006
144views more  BMCBI 2006»
14 years 11 months ago
Association algorithm to mine the rules that govern enzyme definition and to classify protein sequences
Background: The number of sequences compiled in many genome projects is growing exponentially, but most of them have not been characterized experimentally. An automatic annotation...
Shih-Hau Chiu, Chien-Chi Chen, Gwo-Fang Yuan, Thy-...
CINQ
2004
Springer
157views Database» more  CINQ 2004»
15 years 2 months ago
Inductive Databases and Multiple Uses of Frequent Itemsets: The cInQ Approach
Inductive databases (IDBs) have been proposed to afford the problem of knowledge discovery from huge databases. With an IDB the user/analyst performs a set of very different operat...
Jean-François Boulicaut