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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 modeling 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...
Information overload is becoming a big problem in the modern world. Several technologies face this problem, amongst them feed aggregators. Using this technology, users receive a huge amount of news that may contain a large number of irrelevant bits of information. This paper discusses this problem and provides an autonomic way to reduce it through the use of data killing operators. These operators...
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