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» Data Stream Clustering: Challenges and Issues
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ESCIENCE
2006
IEEE
13 years 11 months ago
Grid-Based Data Stream Processing in e-Science
The field of e-science currently faces many challenges. Among the most important ones are the analysis of huge volumes of scientific data and the connection of various sciences an...
Richard Kuntschke, Tobias Scholl, Sebastian Huber,...
MMSEC
2006
ACM
220views Multimedia» more  MMSEC 2006»
14 years 1 months ago
Robust blind watermarking mechanism for motion data streams
The commercial reuse of 3D motion capture (Mocap) data in animation and life sciences raises issues with respect to its copyright. In order to improvise content protection of Moca...
Parag Agarwal, Ketaki Adi, B. Prabhakaran
PRL
2010
158views more  PRL 2010»
13 years 6 months ago
Data clustering: 50 years beyond K-means
: Organizing data into sensible groupings is one of the most fundamental modes of understanding and learning. As an example, a common scheme of scientific classification puts organ...
Anil K. Jain
JIIS
2007
150views more  JIIS 2007»
13 years 7 months ago
Towards a new approach for mining frequent itemsets on data stream
Mining frequent patterns on streaming data is a new challenging problem for the data mining community since data arrives sequentially in the form of continuous rapid streams. In t...
Chedy Raïssi, Pascal Poncelet, Maguelonne Tei...
ICDE
2006
IEEE
285views Database» more  ICDE 2006»
14 years 9 months ago
An Approach to Adaptive Memory Management in Data Stream Systems
Adaptivity is a challenging open issue in data stream management. In this paper, we tackle the problem of memory adaptivity inside a system executing temporal sliding window queri...
Bernhard Seeger, Jürgen Krämer, Michael ...