214 search results - page 41 / 43 » New Parallel Algorithms for Frequent Itemset Mining in Very ... |
SSDBM
1999
IEEE
13 years 10 months ago
1999
IEEE
Large scale data analysis and mining activities, such as identifying interesting trends, making unusual patterns to stand out and verifying hypotheses, require sophisticated infor...
ICDM
2005
IEEE
14 years 2 days ago
2005
IEEE
Collaborative filtering-based recommender systems, which automatically predict preferred products of a user using known preferences of other users, have become extremely popular ...
BMCBI
2010
13 years 6 months ago
2010
Background: High-throughput sequencing (HTS) technologies play important roles in the life sciences by allowing the rapid parallel sequencing of very large numbers of relatively s...
SIGMOD
1999
ACM
13 years 10 months ago
1999
ACM
Cluster analysis is a primary method for database mining. It is either used as a stand-alone tool to get insight into the distribution of a data set, e.g. to focus further analysi...
ROCAI
2004
Springer
13 years 12 months ago
2004
Springer
We introduce a model class for statistical learning which is based on mixtures of propositional rules. In our mixture model, the weight of a rule is not uniform over the entire ins...