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DIS
2009
Springer
12 years 4 months ago
A Sliding Window Algorithm for Relational Frequent Patterns Mining from Data Streams
Some challenges in frequent pattern mining from data streams are the drift of data distribution and the computational efficiency. In this work an additional challenge is considered...
Fabio Fumarola, Anna Ciampi, Annalisa Appice, Dona...
ICDE
2006
IEEE
210views Database» more  ICDE 2006»
12 years 11 months ago
Fractal Modeling of IP Network Traffic at Streaming Speeds
This paper describes how to fit fractal models, online, on IP traffic data streams. Our approach relies on maintaining a sketch of the data stream and fitting straight lines: it y...
Flip Korn, S. Muthukrishnan, Yihua Wu
ICTAI
2009
IEEE
12 years 4 months ago
FlockStream: A Bio-Inspired Algorithm for Clustering Evolving Data Streams
Existing density-based data stream clustering algorithms use a two-phase scheme approach consisting of an online phase, in which raw data is processed to gather summary statistics...
Agostino Forestiero, Clara Pizzuti, Giandomenico S...
SAC
2009
ACM
12 years 4 months ago
Evaluating algorithms that learn from data streams
In the past years, the theory and practice of machine learning and data mining have been focused on static and finite data sets from where learning algorithms generate a static m...
João Gama, Pedro Pereira Rodrigues, Raquel ...
SIGMOD
2005
ACM
220views Database» more  SIGMOD 2005»
12 years 10 months ago
Sampling Algorithms in a Stream Operator
Complex queries over high speed data streams often need to rely on approximations to keep up with their input. The research community has developed a rich literature on approximat...
Theodore Johnson, S. Muthukrishnan, Irina Rozenbau...
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