1577 search results - page 63 / 316 » Data Mining: Machine Learning, Statistics, and Databases |
134
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SBACPAD
2003
IEEE
15 years 6 months ago
2003
IEEE
Frequent itemset mining is a classic problem in data mining. It is a non-supervised process which concerns in finding frequent patterns (or itemsets) hidden in large volumes of d...
KDD
1998
ACM
15 years 5 months ago
1998
ACM
Weintroducecoactive learning as a distributed learning approachto data miningin networkedand distributed databases. Thecoactive learningalgorithmsact on independent data sets and ...
114
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ICML
2010
IEEE
15 years 2 months ago
2010
IEEE
A learning problem that has only recently gained attention in the machine learning community is that of learning a classifier from group probabilities. It is a learning task that ...
121
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ICDM
2003
IEEE
15 years 6 months ago
2003
IEEE
Predictive data mining typically relies on labeled data without exploiting a much larger amount of available unlabeled data. The goal of this paper is to show that using unlabeled...
123
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CINQ
2004
Springer
15 years 5 months ago
2004
Springer
Recently, inductive databases (IDBs) have been proposed to tackle the problem of knowledge discovery from huge databases. With an IDB, the user/analyst performs a set of very diffe...