284 search results - page 56 / 57 » Mining Frequent Itemsets in Distributed and Dynamic Database... |
KDD
2000
ACM
13 years 9 months ago
2000
ACM
Data--call records, internet packet headers, or other transaction records--are coming down a pipe at a ferocious rate, and we need to monitor statistics of the data. There is no r...
KDD
2012
ACM
11 years 7 months ago
2012
ACM
Traditional co-clustering methods identify block structures from static data matrices. However, the data matrices in many applications are dynamic; that is, they evolve smoothly o...
IPPS
2006
IEEE
13 years 11 months ago
2006
IEEE
Sampling is a widely used technique to increase efficiency in database and data mining applications operating on large dataset. In this paper we present a scalable sampling imple...
KDD
2008
ACM
14 years 5 months ago
2008
ACM
The BioJournalMonitor is a decision support system for the analysis of trends and topics in the biomedical literature. Its main goal is to identify potential diagnostic and therap...
KDD
2007
ACM
14 years 5 months ago
2007
ACM
Clustering methods can be either data-driven or need-driven. Data-driven methods intend to discover the true structure of the underlying data while need-driven methods aims at org...