917 search results - page 117 / 184 » Mining interesting sets and rules in relational databases |
ICDM
2007
IEEE
15 years 1 months ago
2007
IEEE
Active inference seeks to maximize classification performance while minimizing the amount of data that must be labeled ex ante. This task is particularly relevant in the context o...
ADBIS
2004
Springer
15 years 3 months ago
2004
Springer
Abstract. Query reformulation techniques based on semantic knowledge have been used in two ways in database management systems, namely for query optimization and for data integrati...
105
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SIGMOD
1998
ACM
15 years 2 months ago
1998
ACM
Clustering, in data mining, is useful for discovering groups and identifying interesting distributions in the underlying data. Traditional clustering algorithms either favor clust...
ICDM
2003
IEEE
2003
IEEE
Clustering of Time Series Subsequences is Meaningless: Implications for Previous and Future Research
15 years 3 months ago
Given the recent explosion of interest in streaming data and online algorithms, clustering of time series subsequences, extracted via a sliding window, has received much attention...
AIME
1997
Springer
15 years 2 months ago
1997
Springer
We used Machine Learning (ML) methods to learn the best decision rules to distinguish normal brain aging from the earliest stages of dementia using subsamples of 198 normal and 244...