KDD
1998
ACM
14 years 25 days ago
1998
ACM
Weintroducecoactive learning as a distributed learning approachto data miningin networkedand distributed databases. Thecoactive learningalgorithmsact on independent data sets and ...
KDD
1998
ACM
14 years 25 days ago
1998
ACM
For a wide variety of classification algorithms, scalability to large databases can be achieved by observing that most algorithms are driven by a set of sufficient statistics that...
KDD
1998
ACM
14 years 25 days ago
1998
ACM
Brief but stimulatingoverviewsarepresented to placeknowledgediscoveryanddatamining (KDD) in the dataanalysisandresearchcycles:
KDD
1998
ACM
14 years 25 days ago
1998
ACM
1 The number and the size of spatial databases, e.g. for geomarketing, traffic control or environmental studies, are rapidly growing which results in an increasing need for spatial...
KDD
1998
ACM
14 years 25 days ago
1998
ACM
KDD
1998
ACM
14 years 25 days ago
1998
ACM
KDD
1998
ACM
14 years 25 days ago
1998
ACM
Verylarge databases with skewedclass distributions and non-unlformcost per error are not uncommonin real-world data mining tasks. Wedevised a multi-classifier meta-learningapproac...
KDD
1998
ACM
14 years 25 days ago
1998
ACM
KDD
1998
ACM
14 years 25 days ago
1998
ACM
1 For large customers, Electricit
KDD
1998
ACM
14 years 25 days ago
1998
ACM
We apply a well-known Bayesian probabilistic model to textual information retrieval: the classification of documents based on their relevance to a query. This model was previously...