1768 search results - page 33 / 354 » Mining Very Large Databases |
KDD
2012
ACM
12 years 10 days ago
2012
ACM
Outlier mining in d-dimensional point sets is a fundamental and well studied data mining task due to its variety of applications. Most such applications arise in high-dimensional ...
KDD
1997
ACM
14 years 2 months ago
1997
ACM
When mining large databases, the data extraction problem and the interface between the database and data mining algorithm become important issues. Rather than giving a mining algo...
ECML
1997
Springer
14 years 2 months ago
1997
Springer
Abstract. E cient data mining algorithms are crucial fore ective knowledge discovery. We present the Multi-Stream Dependency Detection (msdd) data mining algorithm that performs a ...
ISSTA
2009
ACM
14 years 4 months ago
2009
ACM
Bug localization has attracted a lot of attention recently. Most existing methods focus on pinpointing a single statement or function call which is very likely to contain bugs. Al...
ISMIS
1999
Springer
14 years 2 months ago
1999
Springer
Knowledge Discovery in Databases (KDD) is a data analysis process which, in contrast to conventional data analysis, automatically generates and evaluates very many hypotheses, deal...