140 search results - page 8 / 28 » Discovery of Frequent DATALOG Patterns |
BMCBI
2007
13 years 7 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...
KDD
2007
ACM
14 years 7 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....
ADC
2003
Springer
14 years 21 days 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...
KDD
2005
ACM
14 years 7 months ago
2005
ACM
The problem of finding frequent patterns from graph-based datasets is an important one that finds applications in drug discovery, protein structure analysis, XML querying, and soc...
DAWAK
2005
Springer
14 years 1 months ago
2005
Springer
Data mining and machine learning must confront the problem of pattern maintenance because data updating is a fundamental operation in data management. Most existing data-mining alg...