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ICDE
2007
IEEE
157views Database» more  ICDE 2007»
15 years 8 months ago
Representing Data Quality for Streaming and Static Data
In smart item environments, multitude of sensors are applied to capture data about product conditions and usage to guide business decisions as well as production automation proces...
Anja Klein, Hong Hai Do, Gregor Hackenbroich, Marc...
PAKDD
2005
ACM
142views Data Mining» more  PAKDD 2005»
15 years 10 months ago
Dynamic Cluster Formation Using Level Set Methods
Density-based clustering has the advantages for (i) allowing arbitrary shape of cluster and (ii) not requiring the number of clusters as input. However, when clusters touch each o...
Andy M. Yip, Chris H. Q. Ding, Tony F. Chan
FLAIRS
2004
15 years 6 months ago
Adaptive K-Means Clustering
Clustering is used to organize data for efficient retrieval. One of the problems in clustering is the identification of clusters in given data. A popular technique for clustering ...
Sanjiv K. Bhatia
JCDL
2003
ACM
95views Education» more  JCDL 2003»
15 years 10 months ago
Event-Based Retrieval from a Digital Library Containing Medical Streams
We describe a digital library that contains streams and supports event-based retrieval. Streams used in the digital library are CT scan, medical text, and audio streams. Events, s...
Mohamed Kholief, Kurt Maly, Stewart N. T. Shen
KDD
2004
ACM
117views Data Mining» more  KDD 2004»
16 years 5 months ago
Systematic data selection to mine concept-drifting data streams
One major problem of existing methods to mine data streams is that it makes ad hoc choices to combine most recent data with some amount of old data to search the new hypothesis. T...
Wei Fan