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» Using the CALANDA Time Series Management System
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MIR
2005
ACM
129views Multimedia» more  MIR 2005»
15 years 10 months ago
Tracking concept drifting with an online-optimized incremental learning framework
Concept drifting is an important and challenging research issue in the field of machine learning. This paper mainly addresses the issue of semantic concept drifting in time series...
Jun Wu, Dayong Ding, Xian-Sheng Hua, Bo Zhang
151
Voted
CC
1999
Springer
320views System Software» more  CC 1999»
15 years 9 months ago
Floating Point to Fixed Point Conversion of C Code
In processors that do not support floating-point instructions, using fixed-point arithmetic instead of floating-point emulation trades off computation accuracy for execution spe...
Andrea G. M. Cilio, Henk Corporaal
CLOUD
2010
ACM
15 years 10 months ago
Comet: batched stream processing for data intensive distributed computing
Batched stream processing is a new distributed data processing paradigm that models recurring batch computations on incrementally bulk-appended data streams. The model is inspired...
Bingsheng He, Mao Yang, Zhenyu Guo, Rishan Chen, B...
EKNOW
2009
15 years 2 months ago
Process Diagnostics: A Method Based on Process Mining
As organizations change, their information systems can evolve from simple systems to complex systems, which are hard to understand, and therefore hard to maintain or extend. Proces...
Melike Bozkaya, Joost Gabriels, Jan Martijn E. M. ...
ICC
2007
IEEE
154views Communications» more  ICC 2007»
15 years 11 months ago
A Policy-Based Approach for Managing Ubiquitous Networks in Urban Spaces
— Modern cities are becoming increasingly networked Network Operator and the Service Providers can introduce environments and a plethora of computing equipment interacts their ow...
Antonis M. Hadjiantonis, Marinos Charalambides, Ge...