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» Representing Data Quality for Streaming and Static Data
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ICDM
2007
IEEE
159views Data Mining» more  ICDM 2007»
15 years 3 months ago
Incremental Subspace Clustering over Multiple Data Streams
Data streams are often locally correlated, with a subset of streams exhibiting coherent patterns over a subset of time points. Subspace clustering can discover clusters of objects...
Qi Zhang, Jinze Liu, Wei Wang 0010
ICPR
2008
IEEE
15 years 3 months ago
Detection of representative frames of a shot using multivariate Wald-Wolfowitz test
For efficient indexing, browsing and retrieval of video data and also for video summarization, extraction of representative frames is essential. Once a video stream is segmented ...
Partha Pratim Mohanta, Sanjoy Kumar Saha, Bhabatos...
MOBIHOC
2008
ACM
15 years 9 months ago
Fast and quality-guaranteed data streaming in resource-constrained sensor networks
In many emerging applications, data streams are monitored in a network environment. Due to limited communication bandwidth and other resource constraints, a critical and practical...
Emad Soroush, Kui Wu, Jian Pei
KDD
2007
ACM
178views Data Mining» more  KDD 2007»
15 years 10 months ago
Density-based clustering for real-time stream data
Existing data-stream clustering algorithms such as CluStream are based on k-means. These clustering algorithms are incompetent to find clusters of arbitrary shapes and cannot hand...
Yixin Chen, Li Tu
SDM
2007
SIAM
131views Data Mining» more  SDM 2007»
14 years 11 months ago
Load Shedding in Classifying Multi-Source Streaming Data: A Bayes Risk Approach
In many applications, we monitor data obtained from multiple streaming sources for collective decision making. The task presents several challenges. First, data in sensor networks...
Yijian Bai, Haixun Wang, Carlo Zaniolo