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» Evaluating algorithms that learn from data streams
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ICMCS
2009
IEEE
199views Multimedia» more  ICMCS 2009»
15 years 4 months ago
Association rule mining in multiple, multidimensional time series medical data
Time series pattern mining (TSPM) finds correlations or dependencies in same series or in multiple time series. When the numerous instances of multiple time series data are associ...
Gaurav N. Pradhan, B. Prabhakaran
CORR
2010
Springer
80views Education» more  CORR 2010»
15 years 6 months ago
Multi-path Probabilistic Available Bandwidth Estimation through Bayesian Active Learning
Knowing the largest rate at which data can be sent on an end-to-end path such that the egress rate is equal to the ingress rate with high probability can be very practical when ch...
Frederic Thouin, Mark Coates, Michael Rabbat
SDM
2007
SIAM
176views Data Mining» more  SDM 2007»
15 years 8 months ago
Adaptive Concept Learning through Clustering and Aggregation of Relational Data
We introduce a new approach for Clustering and Aggregating Relational Data (CARD). We assume that data is available in a relational form, where we only have information about the ...
Hichem Frigui, Cheul Hwang
IPPS
2003
IEEE
15 years 12 months ago
A Compilation Framework for Distributed Memory Parallelization of Data Mining Algorithms
With the availability of large datasets in a variety of scientific and commercial domains, data mining has emerged as an important area within the last decade. Data mining techni...
Xiaogang Li, Ruoming Jin, Gagan Agrawal
SENSYS
2006
ACM
16 years 15 days ago
Data compression algorithms for energy-constrained devices in delay tolerant networks
Sensor networks are fundamentally constrained by the difficulty and energy expense of delivering information from sensors to sink. Our work has focused on garnering additional si...
Christopher M. Sadler, Margaret Martonosi