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» Mining data streams: a review
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ICDM
2007
IEEE
148views Data Mining» more  ICDM 2007»
13 years 11 months ago
Sample Selection for Maximal Diversity
The problem of selecting a sample subset sufficient to preserve diversity arises in many applications. One example is in the design of recombinant inbred lines (RIL) for genetic a...
Feng Pan, Adam Roberts, Leonard McMillan, David Th...
IFSA
2007
Springer
158views Fuzzy Logic» more  IFSA 2007»
14 years 1 months ago
Fuzziness and Performance: An Empirical Study with Linguistic Decision Trees
Abstract. Generally, there are two main streams of theories for studying uncertainties. One is probability theory and the other is fuzzy set theory. One of the basic ideas of fuzzy...
Zengchang Qin, Jonathan Lawry
INCDM
2001
Springer
109views Data Mining» more  INCDM 2001»
14 years 1 days ago
Experience Management: The Fraunhofer IESE Experience Factory
: Experience Management (EM) is an area that is increasingly gaining importance. Its roots lie in Experimental Software Engineering ("Experience Factory"), in Artificial ...
Klaus-Dieter Althoff, Björn Decker, Susanne H...
KDD
2006
ACM
155views Data Mining» more  KDD 2006»
14 years 8 months ago
Single-pass online learning: performance, voting schemes and online feature selection
To learn concepts over massive data streams, it is essential to design inference and learning methods that operate in real time with limited memory. Online learning methods such a...
Vitor R. Carvalho, William W. Cohen
USENIX
2007
13 years 10 months ago
Load Shedding in Network Monitoring Applications
Monitoring and mining real-time network data streams is crucial for managing and operating data networks. The information that network operators desire to extract from the network...
Pere Barlet-Ros, Gianluca Iannaccone, Josep Sanju&...