1768 search results - page 211 / 354 » Mining Very Large Databases |
139
Voted
KDD
1999
ACM
15 years 8 months ago
1999
ACM
Clustering is an important data mining problem. Most of the earlier work on clustering focussed on numeric attributes which have a natural ordering on their attribute values. Rece...
121
Voted
KDD
2008
ACM
16 years 4 months ago
2008
ACM
We present a detailed study of network evolution by analyzing four large online social networks with full temporal information about node and edge arrivals. For the first time at ...
155
Voted
KDD
2007
ACM
16 years 4 months ago
2007
ACM
Commercial datasets are often large, relational, and dynamic. They contain many records of people, places, things, events and their interactions over time. Such datasets are rarel...
151
Voted
SGAI
2009
Springer
15 years 10 months ago
2009
Springer
In a world where data is captured on a large scale the major challenge for data mining algorithms is to be able to scale up to large datasets. There are two main approaches to indu...
143
Voted
NCA
2006
IEEE
15 years 9 months ago
2006
IEEE
Geant4 is a very large, highly accurate toolkit for Monte Carlo simulation of particle-matter interaction. It has been applied to high-energy physics, cosmic ray modeling, radiati...