1719 search results - page 122 / 344 » Magic Sets for Data Integration |
109
click to vote
WWW
2007
ACM
16 years 4 months ago
2007
ACM
Traditional clustering algorithms work on "flat" data, making the assumption that the data instances can only be represented by a set of homogeneous and uniform features...
130
click to vote
ISCC
2006
IEEE
15 years 10 months ago
2006
IEEE
— Security and QoS are two main issues for a successful wide deployment of multicast services. For instance, in a multicast streaming application, a receiver would require a data...
123
click to vote
ISMIS
2005
Springer
15 years 9 months ago
2005
Springer
With the rapid advancement of information technology, scalability has become a necessity for learning algorithms to deal with large, real-world data repositories. In this paper, sc...
121
click to vote
KDD
1995
ACM
15 years 7 months ago
1995
ACM
We introduce an active data mining paradigm that combines the recent work in data mining with the rich literature on active database systems. In this paradigm, data is continuousl...
148
click to vote
HIS
2004
15 years 5 months ago
2004
Boosting is a general method for improving the accuracy of a learning algorithm. AdaBoost, short form for Adaptive Boosting method, consists of repeated use of a weak or a base le...