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ICDM
2006
IEEE
139views Data Mining» more  ICDM 2006»
14 years 4 months ago
Unsupervised Clustering In Streaming Data
Tools for automatically clustering streaming data are becoming increasingly important as data acquisition technology continues to advance. In this paper we present an extension of...
Dimitris K. Tasoulis, Niall M. Adams, David J. Han...
WSDM
2009
ACM
136views Data Mining» more  WSDM 2009»
14 years 4 months ago
Mining common topics from multiple asynchronous text streams
Text streams are becoming more and more ubiquitous, in the forms of news feeds, weblog archives and so on, which result in a large volume of data. An effective way to explore the...
Xiang Wang 0002, Kai Zhang, Xiaoming Jin, Dou Shen
ICDE
2007
IEEE
127views Database» more  ICDE 2007»
14 years 11 months ago
Supporting Streaming Updates in an Active Data Warehouse
Active Data Warehousing has emerged as an alternative to conventional warehousing practices in order to meet the high demand of applications for up-to-date information. In a nutsh...
Neoklis Polyzotis, Spiros Skiadopoulos, Panos Vass...
IAT
2009
IEEE
13 years 7 months ago
Facilitating Active Multidimensional Association Mining with User Preference Ontology
Multidimensional association mining from data warehouse has become a knowledge discovery paradigm because it provides more specific conditional settings for target mining data, th...
Chin-Ang Wu, Wen-Yang Lin, Chuan-Chun Wu
PAKDD
2007
ACM
144views Data Mining» more  PAKDD 2007»
14 years 4 months ago
Approximately Mining Recently Representative Patterns on Data Streams
Catching the recent trend of data is an important issue when mining frequent itemsets from data streams. To prevent from storing the whole transaction data within the sliding windo...
Jia-Ling Koh, Yuan-Bin Don