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Managing And Mining Streaming Sensor Data Petr Ciek
managing and mining streaming sensor data practical example 1 sensors sensor mbs gbh inertial measurement unit 0.1 0.3 monocular camera 640x48060fps mjpeg 1.73 6.1 monocular camera 640x48060fps raw 17.5 63.2 stereo camera 2x640x48060fps raw 35 126.4 velodyne 3d laser scanner 100 351
Chapter12
the internet of things a survey from the data centric perspective book chapter in managing and mining sensor data springer 2013. 384. managingandminingsensordata. with it. this chapter will discuss a data analytics perspective about miningand managing dataassociated with thisphenomenon which is nowknownasthe.
Managing Uncertain Data Probabilistic Approaches
managing uncertain data probabilistic approaches wenjie zhang 1 xuemin lin 2 jian pei 3 ying zhang 4 university of new south wales nicta australia 1zhangwcse.unsw.edu.au 2lxuecse.unsw.edu.au 4yingzcse.unsw.edu.au simon fraser university canada 3jpeics.sfu.ca abstractuncertain data are inherent in many important applications. recently considerable research efforts have
Intemon Continuous Mining Of Sensor Data In Large Scale ...
using stream based data mining intemon is designed to address these weaknesses of current monitoring software. intemon uses the spirit 25 stream mining algorithm to analyze the many data streams available in modern data centers. intemon is designed to be a monitoring application for large scale clusters and data centers.
29 Trajectory Data Mining An Overview
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Data Integrity Enabling Effective Decisions In Mining ...
data integrity and the digital revolution digital technology is disrupting the mining industry and bringing new opportunities to reduce costs and improve production and safety. ensuring data integrity is an important element in taking advantage of this revolution. today automation systems are collecting rapidly growing volumes of data. creating
It Data Mining Tool Uses In Aerospace
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Trajectory Data Mining An Overview 1
vehicles and animals. many techniques have been proposed for processing managing and mining trajectory data in the past decade fostering a broad range of applications. in this article we conduct a systematic survey on the major research into trajectory data mining providing a panorama of the field as well as the scope of its research topics.
