276 search results - page 15 / 56 » Frequent Submap Discovery |
ADC
2003
Springer
14 years 2 months ago
2003
Springer
Discovering association rules that identify relationships among sets of items is an important problem in data mining. Finding frequent item sets is computationally the most expens...
ILP
1999
Springer
14 years 1 months ago
1999
Springer
Numerous measures are used for performance evaluation in machine learning. In predictive knowledge discovery, the most frequently used measure is classification accuracy. With new...
PODS
2009
ACM
14 years 10 months ago
2009
ACM
As advances in technology allow for the collection, storage, and analysis of vast amounts of data, the task of screening and assessing the significance of discovered patterns is b...
KDD
2007
ACM
14 years 10 months ago
2007
ACM
Data mining techniques that are successful in transaction and text data may not be simply applied to image data that contain high-dimensional features and have spatial structures....
BMCBI
2007
13 years 9 months ago
2007
Background: Computational methods to predict transcription factor binding sites (TFBS) based on exhaustive algorithms are guaranteed to find the best patterns but are often limite...