26 search results - page 3 / 6 » SCLOPE: An Algorithm for Clustering Data Streams of Categori... |
EDBT
2004
ACM
14 years 5 months ago
2004
ACM
Abstract. Clustering is a problem of great practical importance in numerous applications. The problem of clustering becomes more challenging when the data is categorical, that is, ...
PAKDD
2010
ACM
13 years 10 months ago
2010
ACM
Abstract. Integrative mining of heterogeneous data is one of the major challenges for data mining in the next decade. We address the problem of integrative clustering of data with ...
ICTAI
2007
IEEE
13 years 12 months ago
2007
IEEE
Many real datasets have uncertain categorical attribute values that are only approximately measured or imputed. Uncertainty in categorical data is commonplace in many applications...
DATAMINE
2006
13 years 5 months ago
2006
Efficiently detecting outliers or anomalies is an important problem in many areas of science, medicine and information technology. Applications range from data cleaning to clinica...
ICDE
2009
IEEE
14 years 7 months ago
2009
IEEE
In this paper, we will examine the problem of clustering massive domain data streams. Massive-domain data streams are those in which the number of possible domain values for each a...