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» Info-fuzzy algorithms for mining dynamic data streams
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KDD
2009
ACM
224views Data Mining» more  KDD 2009»
15 years 2 months ago
Issues in evaluation of stream learning algorithms
Learning from data streams is a research area of increasing importance. Nowadays, several stream learning algorithms have been developed. Most of them learn decision models that c...
João Gama, Raquel Sebastião, Pedro P...
DIS
2010
Springer
14 years 8 months ago
Sentiment Knowledge Discovery in Twitter Streaming Data
Micro-blogs are a challenging new source of information for data mining techniques. Twitter is a micro-blogging service built to discover what is happening at any moment in time, a...
Albert Bifet, Eibe Frank
JMLR
2010
182views more  JMLR 2010»
14 years 4 months ago
Decision Tree for Dynamic and Uncertain Data Streams
Current research on data stream classification mainly focuses on certain data, in which precise and definite value is usually assumed. However, data with uncertainty is quite natu...
Chunquan Liang, Yang Zhang, Qun Song
70
Voted
SDM
2007
SIAM
103views Data Mining» more  SDM 2007»
14 years 11 months ago
A System for Keyword Search on Textual Streams
An increasing amount of data is produced in the form of text streams − these can be RSS news feeds, TV closed captions, emails, etc. We study the problem of answering keyword qu...
Vagelis Hristidis, Oscar Valdivia, Michail Vlachos...
SIGMOD
2005
ACM
135views Database» more  SIGMOD 2005»
15 years 9 months ago
Mining data streams: a review
The recent advances in hardware and software have enabled the capture of different measurements of data in a wide range of fields. These measurements are generated continuously an...
Mohamed Medhat Gaber, Arkady B. Zaslavsky, Shonali...