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MineFleet®:概述广泛采用的分布式车辆性能数据挖掘系统

MineFleet®: An Overview of a Widely Adopted Distributed Vehicle Performance Data Mining System
课程网址: http://videolectures.net/kdd2010_kargupta_mfo/  
主讲教师: Hillol Kargupta
开课单位: 马里兰大学
开课时间: 2010-10-01
课程语种: 英语
中文简介:
本文介绍了为商业车队设计的小型车队分布式车辆性能数据挖掘系统。mineflam 分析车辆上的高吞吐量数据流, 生成分析, 通过广域网将这些数据流发送到远程服务器, 并使用独立和基于 web 的用户界面向车队经理提供这些数据流。本文介绍了系统的总体架构、业务需求以及成功的大规模商业部署的经验。mines深感可能是最早商业上成功的分布式数据流挖掘系统之一。这项专利技术已被移动资源管理和 gps 车队跟踪行业的许多大公司采用、生产和商业提供。本文概述了该系统, 并对使其发挥作用的原因进行了详细分析。
课程简介: This paper describes the MineFleet distributed vehicle performance data mining system designed for commercial fleets. MineFleet analyzes high throughput data streams onboard the vehicle, generates the analytics, sends those to the remote server over the wide-area wireless networks and offers them to the fleet managers using stand-alone and web-based user-interface. The paper describes the overall architecture of the system, business needs, and shares experience from successful large-scale commercial deployments. MineFleet is probably one of the first commercially successful distributed data stream mining systems. This patented technology has been adopted, productized, and commercially offered by many large companies in the mobile resource management and GPS fleet tracking industry. This paper offers an overview of the system and offers a detailed analysis of what made it work.
关 键 词: 计算机科学; 数据挖掘; 数据挖掘系统
课程来源: 视频讲座网
最后编审: 2020-06-03:毛岱琦(课程编辑志愿者)
阅读次数: 54