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» Structure-aware sampling on data streams
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ISI
2006
Springer
13 years 7 months ago
Collective Sampling and Analysis of High Order Tensors for Chatroom Communications
This work investigates the accuracy and efficiency tradeoffs between centralized and collective (distributed) algorithms for (i) sampling, and (ii) n-way data analysis techniques i...
Evrim Acar, Seyit Ahmet Çamtepe, Bülen...
DKE
2008
109views more  DKE 2008»
13 years 7 months ago
Deterministic algorithms for sampling count data
Processing and extracting meaningful knowledge from count data is an important problem in data mining. The volume of data is increasing dramatically as the data is generated by da...
Hüseyin Akcan, Alex Astashyn, Hervé Br...
ESCAPE
2007
Springer
212views Algorithms» more  ESCAPE 2007»
14 years 1 months ago
Streaming Algorithms for Data in Motion
We propose two new data stream models: the reset model and the delta model, motivated by applications to databases, and to tracking the location of spatial points. We present algor...
Michael Hoffmann 0002, S. Muthukrishnan, Rajeev Ra...
CIDR
2007
111views Algorithms» more  CIDR 2007»
13 years 9 months ago
The Case for a Signal-Oriented Data Stream Management System
Sensors capable of sensing phenomena at high data rates—on the order of tens to hundreds of thousands of samples per second—are useful in many industrial, civil engineering, s...
Lewis Girod, Yuan Mei, Ryan Newton, Stanislav Rost...
CIDM
2007
IEEE
14 years 1 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