126 search results - page 20 / 26 » Personalization Using Hybrid Data Mining Approaches in E-Bus... |
SIGSOFT
2007
ACM
14 years 8 months ago
2007
ACM
The fault-prone module detection in source code is of importance for assurance of software quality. Most of previous fault-prone detection approaches are based on software metrics...
WSDM
2012
ACM
12 years 3 months ago
2012
ACM
Recent research has made significant advances in automatically constructing knowledge bases by extracting relational facts (e.g., Bill Clinton-presidentOf-US) from large text cor...
KDD
2004
ACM
14 years 8 months ago
2004
ACM
There has historically been very little concern with extrapolation in Machine Learning, yet extrapolation can be critical to diagnose. Predictor functions are almost always learne...
KDD
2006
ACM
14 years 8 months ago
2006
ACM
Correlation clustering aims at grouping the data set into correlation clusters such that the objects in the same cluster exhibit a certain density and are all associated to a comm...
KDD
2007
ACM
14 years 8 months ago
2007
ACM
Summarization is an important task in data mining. A major challenge over the past years has been the efficient construction of fixed-space synopses that provide a deterministic q...