1413 search results - page 28 / 283 » Mining Multiple Large Databases |
CORR
2004
Springer
13 years 7 months ago
2004
Springer
Mining frequent itemsets is at the core of mining association rules, and is by now quite well understood algorithmically for main memory databases. In this paper, we investigate a...
SIGMOD
2010
ACM
14 years 14 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...
ADC
2006
Springer
14 years 1 months ago
2006
Springer
In this paper we discuss eNERF, an extended version of non-Euclidean relational fuzzy c-means (NERFCM) for approximate clustering in very large (unloadable) relational data. The e...
KDD
1995
ACM
13 years 11 months ago
1995
ACM
Finding and removingoutliers is an important problem in data mining. Errors in large databases can be extremely common,so an important property of a data mining algorithm is robus...
KDD
2002
ACM
14 years 8 months ago
2002
ACM
Rule mining is an important data mining task that has been applied to numerous real-world applications. Often a rule mining system generates a large number of rules and only a sma...