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| Content Provider | ACM Digital Library |
|---|---|
| Author | Merelo, Juan Julian Araujo, Lourdes |
| Abstract | This paper presents an evolutionary algorithm for modeling the arrival dates of document streams, which is any time-stamped collection of documents, such as newscasts, e-mails, scientific journals archives and weblog postings. The goal is to find a frequency curve that fits the data circumventing the unavoidable noise. Classical dynamic programming algorithms are limited by memory and efficiency requirements, which can be a problem when dealing with long streams. This suggests to explore alternative search methods which although do not guarantee optimality, are far more efficient. Experiments have shown that the designed evolutionary algorithm is able to reach high quality solutions in a short time. We have also explored different approaches to infer whether new arrivals increase or decrease interest in the topic the document stream is about. In particular, we present a variant of the evolutionary algorithm, which is able to very quickly fit a stream extended with new data, by taking advantage of the fit obtained for the original substream. These mechanisms can be used for real time detection of changes in the trend of interest in a topic, an important application of this kind of models. |
| Starting Page | 1896 |
| Ending Page | 1903 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781595936974 |
| DOI | 10.1145/1276958.1277340 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2007-07-07 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Online text streams Buzz detection Evolutionary algorithms Event stream modelling |
| Content Type | Text |
| Resource Type | Article |
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