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IRMA
2000
14 years 6 days ago
Recognizing bounds of context change in on-line learning
The on-line algorithms in machine learning are intended to discover unknown function of the domain based on incremental observing of it instance by instance. These algorithms have...
Helen Kaikova, Vagan Y. Terziyan, Borys Omelayenko
FSKD
2005
Springer
267views Fuzzy Logic» more  FSKD 2005»
14 years 4 months ago
Preventing Meaningless Stock Time Series Pattern Discovery by Changing Perceptually Important Point Detection
Discovery of interesting or frequently appearing time series patterns is one of the important tasks in various time series data mining applications. However, recent research critic...
Tak-Chung Fu, Fu-Lai Chung, Robert W. P. Luk, Chak...
ELPUB
1999
ACM
14 years 3 months ago
The UK Children's Publishing House - Adapting to Change for the Multimedia Market
The research project currently in progress aims to develop a comprehensive understanding of the children’s multimedia publishing industry in the UK and the challenges of adapting...
Audrey Anthoney, Jo Royle, Ian M. Johnson
MSR
2005
ACM
14 years 4 months ago
Analysis of signature change patterns
Software continually changes due to performance improvements, new requirements, bug fixes, and adaptation to a changing operational environment. Common changes include modificatio...
Sunghun Kim, E. James Whitehead Jr., Jennifer Beva...
CGF
2008
129views more  CGF 2008»
13 years 11 months ago
Code Flows: Visualizing Structural Evolution of Source Code
Understanding detailed changes done to source code is of great importance in software maintenance. We present Code Flows, a method to visualize the evolution of source code geared...
Alexandru Telea, David Auber