330 search results - page 35 / 66 » A Performance Prediction Framework for Grid-Based Data Minin... |
SDM
2009
SIAM
14 years 6 months ago
2009
SIAM
Many real-world applications call for learning predictive relationships from multi-modal data. In particular, in multi-media and web applications, given a dataset of images and th...
KDD
2003
ACM
14 years 9 months ago
2003
ACM
Government regulations are semi-structured text documents that are often voluminous, heavily cross-referenced between provisions and even ambiguous. Multiple sources of regulation...
KDD
2009
ACM
14 years 9 months ago
2009
ACM
The discovery of biclusters, which denote groups of items that show coherent values across a subset of all the transactions in a data set, is an important type of analysis perform...
KDD
2012
ACM
11 years 11 months ago
2012
ACM
Multi-instance multi-label learning (MIML) is a framework for supervised classification where the objects to be classified are bags of instances associated with multiple labels....
VLDB
2010
ACM
13 years 7 months ago
2010
ACM
The frequent items problem is to process a stream of items and find all items occurring more than a given fraction of the time. It is one of the most heavily studied problems in d...