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» Mining data streams: a review
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BTW
2005
Springer
104views Database» more  BTW 2005»
14 years 2 months ago
Maintaining Nonparametric Estimators over Data Streams
Abstract: An effective processing and analysis of data streams is of utmost importance for a plethora of emerging applications like network monitoring, traffic management, and fi...
Björn Blohsfeld, Christoph Heinz, Bernhard Se...
CIKM
2008
Springer
13 years 10 months ago
SHOPSMART: product recommendations through technical specifications and user reviews
This paper describes a new method for providing recommendations tailored to a user's preferences using text mining techniques and online technical specifications of products....
Alexander Yates, James Joseph, Ana-Maria Popescu, ...
ICDM
2006
IEEE
139views Data Mining» more  ICDM 2006»
14 years 2 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 3 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
ACMICEC
2007
ACM
144views ECommerce» more  ACMICEC 2007»
14 years 24 days ago
Needs-based analysis of online customer reviews
Needs-based analysis lies at the intersection of product marketing and new product development. It is the study of why consumers purchase and what they do with those purchases. In...
Thomas Y. Lee