Sciweavers

1403 search results - page 9 / 281
» Set cover algorithms for very large datasets
Sort
View
VLDB
1998
ACM
95views Database» more  VLDB 1998»
14 years 18 days ago
RainForest - A Framework for Fast Decision Tree Construction of Large Datasets
Classification of large datasets is an important data mining problem. Many classification algorithms have been proposed in the literature, but studies have shown that so far no al...
Johannes Gehrke, Raghu Ramakrishnan, Venkatesh Gan...
AI
2009
Springer
14 years 3 months ago
STFLS: A Heuristic Method for Static and Transportation Facility Location Allocation in Large Spatial Datasets
Abstract. This paper solves a static and transportation facility location allocation problem defined as follows: given a set of locations Loc and a set of demand objects D located ...
Wei Gu, Xin Wang, Liqiang Geng
EDBT
2009
ACM
156views Database» more  EDBT 2009»
14 years 1 months ago
Evaluating very large datalog queries on social networks
We consider a near future scenario in which users of a Web 2.0 application, such as a social network, contribute to the application not only data, but also rules which automatical...
Royi Ronen, Oded Shmueli
DBVIS
1995
162views Database» more  DBVIS 1995»
13 years 12 months ago
LadMan: A Large Data Management System
More and more of our customers have to deal with very large datasets like elevation data and digital roadmaps covering Europe or even the entire world, very large images e.g. from...
Walter Schmeing
IJIT
2004
13 years 9 months ago
IMDC: An Image-Mapped Data Clustering Technique for Large Datasets
In this paper, we present a new algorithm for clustering data in large datasets using image processing approaches. First the dataset is mapped into a binary image plane. The synthe...
Faruq A. Al-Omari, Nabeel I. Al-Fayoumi