28 search results - page 5 / 6 » Mining frequent items in a stream using flexible windows |
SIGMOD
2004
ACM
14 years 5 months ago
2004
ACM
Real-time surveillance systems, network and telecommunication systems, and other dynamic processes often generate tremendous (potentially infinite) volume of stream data. Effectiv...
DATAMINE
1999
13 years 4 months ago
1999
Discovery of frequent patterns has been studied in a variety of data mining settings. In its simplest form, known from association rule mining, the task is to discover all frequent...
DASFAA
2010
IEEE
13 years 5 months ago
2010
IEEE
Discovering interesting patterns from high-speed data streams is a challenging problem in data mining. Recently, the support metric-based frequent pattern mining from data stream h...
ECIR
2010
Springer
13 years 6 months ago
2010
Springer
Abstract. Many tasks (e.g., search and summarization) result in an ordered list of items. In order to evaluate such an ordered list of items, we need to compare it with an ideal or...
EDBT
2011
ACM
12 years 8 months ago
2011
ACM
Equi-depth histograms represent a fundamental synopsis widely used in both database and data stream applications, as they provide the cornerstone of many techniques such as query ...