1768 search results - page 126 / 354 » Mining Very Large Databases |
183
click to vote
IASSE
2004
15 years 4 months ago
2004
Accurate demand forecasting remains difficult and challenging in today's competitive and dynamic business environment, but even a little improvement in demand prediction may ...
119
click to vote
KDD
2002
ACM
16 years 3 months ago
2002
ACM
Viral marketing takes advantage of networks of influence among customers to inexpensively achieve large changes in behavior. Our research seeks to put it on a firmer footing by mi...
147
Voted
DNIS
2010
Springer
15 years 9 months ago
2010
Springer
In recent years, several frameworks have been developed for processing very large quantities of data on large clusters of commodity PCs. These frameworks have focused on fault-tole...
160
click to vote
KDD
2009
ACM
16 years 3 months ago
2009
ACM
Mining discrete patterns in binary data is important for subsampling, compression, and clustering. We consider rankone binary matrix approximations that identify the dominant patt...
233
Voted
GIS
2007
ACM
16 years 4 months ago
2007
ACM
The development of areas such as remote and airborne sensing, location based services, and geosensor networks enables the collection of large volumes of spatial data. These datase...