Discarding Similar Data with Autonomic Data Killing Framework based on High-Level Petri Net Rules: an RSS Implementation

被引：1

作者：

Pinheiro, Wallace ^{[1
]}

Oliveira Silva, Marcelino Campos ^{[1
]}

Rodrigues, Thiago ^{[1
]}

Xexeo, Geraldo ^{[1
]}

Souza, Jano ^{[1
]}

机构：

[1] Univ Fed Rio de Janeiro, COPPE, BR-21945 Rio De Janeiro, Brazil

来源：

SIXTH INTERNATIONAL CONFERENCE ON AUTONOMIC AND AUTONOMOUS SYSTEMS: ICAS 2010, PROCEEDINGS | 2010年

关键词：

Data Killing; High Level Petri-nets; Clustering; News Filtering;

D O I：

10.1109/ICAS.2010.23

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper describes the evolutions obtained in the autonomic Data Killing framework that was proposed to eliminate undesirable data. The focus now is about discarding similar data. In order to do it, a modelling method is proposed that uses active rules to be applied through High-level Petri nets. Our method focuses in clustering news in groups by its level of similarity, selecting the newest news of the group and discarding the rest. One experiment has been done in order to proof that method is viable.

引用

页码：110 / 115

页数：6

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