32 search results - page 3 / 7 » Reservoir-Based Random Sampling with Replacement from Data S... |
ICTAI
2008
IEEE
14 years 2 months ago
2008
IEEE
In this paper, we present a purely incremental, scalable algorithm for the detection of elliptical shapes in images. Our method uses an incremental version of the Random Hough Tra...
SIGMOD
2008
ACM
14 years 7 months ago
2008
ACM
Random sampling is an appealing approach to build synopses of large data streams because random samples can be used for a broad spectrum of analytical tasks. Users are often inter...
DKE
2008
13 years 7 months ago
2008
Processing and extracting meaningful knowledge from count data is an important problem in data mining. The volume of data is increasing dramatically as the data is generated by da...
SIGMOD
2005
ACM
14 years 7 months ago
2005
ACM
We consider the problem of joining data streams using limited cache memory, with the goal of producing as many result tuples as possible from the cache. Many cache replacement heu...
INFORMATICALT
2008
13 years 7 months ago
2008
Abstract. Data stream mining has become a novel research topic of growing interest in knowledge discovery. Most proposed algorithms for data stream mining assume that each data blo...