618 search results - page 98 / 124 » Aggregated Subset Mining |
KDD
1999
ACM
14 years 23 days ago
1999
ACM
Clustering is an important data mining problem. Most of the earlier work on clustering focussed on numeric attributes which have a natural ordering on their attribute values. Rece...
KDD
1998
ACM
14 years 21 days ago
1998
ACM
Data reduction makes datasets smaller but preserves classication structures of interest. It is an important area of research in data mining and databases. In this paper we present...
KDD
2010
ACM
14 years 11 days ago
2010
ACM
An ensemble is a set of learned models that make decisions collectively. Although an ensemble is usually more accurate than a single learner, existing ensemble methods often tend ...
BMCBI
2005
13 years 8 months ago
2005
Background -: Sequencing of EST and BAC end datasets is no longer limited to large research groups. Drops in per-base pricing have made high throughput sequencing accessible to in...
EDBT
2011
ACM
13 years 7 hour ago
2011
ACM
Most known frequent item set mining algorithms work by enumerating candidate item sets and pruning infrequent candidates. An alternative method, which works by intersecting transa...