1768 search results - page 39 / 354 » Mining Very Large Databases |
ADBIS
2007
Springer
14 years 4 months ago
2007
Springer
In solving the classification problem in relational data mining, traditional methods, for example, the C4.5 and its variants, usually require data transformations from datasets sto...
CINQ
2004
Springer
14 years 3 months ago
2004
Springer
Mining Frequent Itemsets is the core operation of many data mining algorithms. This operation however, is very data intensive and sometimes produces a prohibitively large output. I...
ICDE
2010
IEEE
14 years 2 months ago
2010
IEEE
Modern science is collecting massive amounts of data from sensors, instruments, and through computer simulation. It is widely believed that analysis of this data will hold the key ...
EDBT
2000
ACM
14 years 1 months ago
2000
ACM
Decision tree induction algorithms scale well to large datasets for their univariate and divide-and-conquer approach. However, they may fail in discovering effective knowledge when...
SIGMOD
1996
ACM
14 years 2 months ago
1996
ACM
We introduce the problem of mining association rules in large relational tables containing both quantitative and categorical attributes. An example of such an association might be...