2826 search results - page 530 / 566 » Maximal Vector Computation in Large Data Sets |
SIGMOD
2002
ACM
15 years 9 months ago
2002
ACM
The Grid is an emerging platform to support on-demand "virtual organisations" for coordinated resource sharing and problem solving on a global scale. The application thr...
ASPLOS
2010
ACM
15 years 4 months ago
2010
ACM
The Local Outlier Factor (LOF) is a very powerful anomaly detection method available in machine learning and classification. The algorithm defines the notion of local outlier in...
STACS
2007
Springer
15 years 3 months ago
2007
Springer
The min-sum k-clustering problem is to partition a metric space (P, d) into k clusters C1, . . . , Ck ⊆ P such that k i=1 p,q∈Ci d(p, q) is minimized. We show the first effi...
KAIS
2006
14 years 9 months ago
2006
Abstract. Data mining in large databases of complex objects from scientific, engineering or multimedia applications is getting more and more important. In many areas, complex dista...
FOCS
2008
IEEE
15 years 4 months ago
2008
IEEE
Learning problems form an important category of computational tasks that generalizes many of the computations researchers apply to large real-life data sets. We ask: what concept ...