7387 search results - page 1438 / 1478 » Knowledge-based data mining |
PODS
2010
ACM
14 years 1 months ago
2010
ACM
We give the first optimal algorithm for estimating the number of distinct elements in a data stream, closing a long line of theoretical research on this problem begun by Flajolet...
SIGMOD
2010
ACM
14 years 1 months ago
2010
ACM
Similarity search methods are widely used as kernels in various data mining and machine learning applications including those in computational biology, web search/clustering. Near...
SIGMOD
2010
ACM
14 years 1 months ago
2010
ACM
The MapReduce framework is increasingly being used to analyze large volumes of data. One important type of data analysis done with MapReduce is log processing, in which a click-st...
SIGMOD
1998
ACM
14 years 1 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...
VLDB
1998
ACM
14 years 1 months ago
1998
ACM
Classification is an important problem in data mining. Given a database of records, each with a class label, a classifier generates a concise and meaningful description for each c...