148 search results - page 20 / 30 » Discovery of Multiple-Level Association Rules from Large Dat... |
ICDM
2005
IEEE
14 years 1 months ago
2005
IEEE
In data mining, enumerate the frequent or the closed patterns is often the first difficult task leading to the association rules discovery. The number of these patterns represen...
ICCV
2011
IEEE
12 years 7 months ago
2011
IEEE
We address the problem of large-scale annotation of web images. Our approach is based on the concept of visual synset, which is an organization of images which are visually-simila...
SIGMOD
2010
ACM
14 years 11 days ago
2010
ACM
Mining graph patterns in large networks is critical to a variety of applications such as malware detection and biological module discovery. However, frequent subgraphs are often i...
CORR
2010
Springer
13 years 7 months ago
2010
Springer
In general frequent itemsets are generated from large data sets by applying association rule mining algorithms like Apriori, Partition, Pincer-Search, Incremental, Border algorithm...
CINQ
2004
Springer
14 years 28 days ago
2004
Springer
Spatial data mining is a process used to discover interesting but not explicitly available, highly usable patterns embedded in both spatial and nonspatial data, which are possibly ...