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» Adaptive Learning from Evolving Data Streams
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133
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ICC
2007
IEEE
117views Communications» more  ICC 2007»
15 years 9 months ago
Applying Techniques from Frame Synchronization for Biological Sequence Analysis
— During the last years, the amount of genetic data available has increased rapidly which creates the demand for advanced techniques for their interpretation. In the following, w...
Johanna Weindl, Joachim Hagenauer
SDM
2007
SIAM
184views Data Mining» more  SDM 2007»
15 years 4 months ago
Mining Naturally Smooth Evolution of Clusters from Dynamic Data
Many clustering algorithms have been proposed to partition a set of static data points into groups. In this paper, we consider an evolutionary clustering problem where the input d...
Yi Wang, Shi-Xia Liu, Jianhua Feng, Lizhu Zhou
143
Voted
ASC
2008
15 years 3 months ago
Dynamic classification for video stream using support vector machine
A dynamic classification using the support vector machine (SVM) technique is presented in this paper as a new `incremental' framework for multiple-classifying video stream da...
Mariette Awad, Yuichi Motai
146
Voted
SOFSEM
2010
Springer
16 years 10 days ago
Continuous Processing of Preference Queries in Data Streams
Preference queries have received considerable attention in the recent past, due to their use in selecting the most preferred objects, especially when the selection criteria are con...
Maria Kontaki, Apostolos N. Papadopoulos, Yannis M...
121
Voted
CIDM
2007
IEEE
15 years 9 months ago
A Prototype-driven Framework for Change Detection in Data Stream Classification
This paper presents a prototype-driven framework for classifying evolving data streams. Our framework uses cluster prototypes to summarize the data and to determine whether the cur...
Hamed Valizadegan, Pang-Ning Tan