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On a new index of Publish/Subscribe System in the context of Big Data

机译:在大数据背景下的发布/订阅系统的新索引

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The huge increase in information published on the web, and its users has led to the emergence of notifications systems (Web syndication), such as the Publish/Subscribe system (Pub/sub) that helps the user to track information managed by the information collectors (RSS (Really Simple Syndication)) in real time. For pertinent use of the information issue from large data streams (Big Data) that currently exist on the net, the development of new filtering systems is mandatory. Several algorithms have been developed to meet this end. In this work we propose a new algorithm for indexing structures that will allow us to develop efficient and intelligent systems.
机译:在Web上发布的信息的巨大增加,其用户导致了通知系统(Web Syndication)的出现,例如发布/订阅系统(PUB / SUB),帮助用户跟踪由信息收集器管理的信息(RSS(真正简单的Syndication))实时。对于来自当前存在于网络上的大数据流(大数据)的信息问题,强制性的新过滤系统的开发。已经开发了几种算法以满足此目的。在这项工作中,我们提出了一种新的算法,用于索引结构,使我们能够开发高效和智能的系统。

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