Sciweavers

7581 search results - page 114 / 1517
» Incompleteness in Data Mining
Sort
View
PKDD
2000
Springer
125views Data Mining» more  PKDD 2000»
14 years 1 months ago
Materialized Data Mining Views
Data mining is a useful decision support technique, which can be used to find trends and regularities in warehouses of corporate data. A serious problem of its practical applicatio...
Tadeusz Morzy, Marek Wojciechowski, Maciej Zakrzew...
DAWAK
2005
Springer
14 years 1 days ago
Incremental Data Mining Using Concurrent Online Refresh of Materialized Data Mining Views
Abstract. Data mining is an iterative process. Users issue series of similar data mining queries, in each consecutive run slightly modifying either the definition of the mined dat...
Mikolaj Morzy, Tadeusz Morzy, Marek Wojciechowski,...
CVPR
2011
IEEE
13 years 1 months ago
Multi-label Learning with Incomplete Class Assignments
We consider a special type of multi-label learning where class assignments of training examples are incomplete. As an example, an instance whose true class assignment is (c1, c2, ...
Serhat Bucak, Rong Jin, Anil Jain
PRICAI
2004
Springer
14 years 3 months ago
Classifying Human Actions Using an Incomplete Real-Time Pose Skeleton
Currently, most human action recognition systems are trained with feature sets that have no missing data. Unfortunately, the use of human pose estimation models to provide more des...
Patrick Peursum, Hung Hai Bui, Svetha Venkatesh, G...
IAT
2007
IEEE
14 years 4 months ago
Towards Constraint-Based Composition with Incomplete Service Descriptions
We apply our work on Web service discovery with initially incomplete information to the problem of service composition. Rich semantic descriptions of Goals and Web services allow ...
Matthew Moran, Tomas Vitvar, Maciej Zaremba