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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Rahul Prabhu, H. Rao, S. |
| Copyright Year | 2012 |
| Description | Author affiliation: HIT - Bangalore, India (Rahul Prabhu, H.; Rao, S.) |
| Abstract | Data streams are vast sources of information. In such streams only certain episodic points called events are interesting. The number of events occurring in a data stream can be very large, and a given user would not be interested in all of them. Thus, there is a need to selectively disseminate information about the occurrence of events to users who express interest in them. Publish/Subscribe is a distributed paradigm of messaging in which events published by publishers are automatically sent to subscribers who have expressed interest in them. In this work, we apply the publish/subscribe paradigm to notify a user when an event of interest occurs. Furthermore, user subscriptions may often be vague and non-specific. To capture this uncertainty, we use fuzzy set theory in the modeling of the subscriptions. The use of fuzzy sets gives a user more expressive power in subscriptions and gives better notifications of events. |
| Starting Page | 206 |
| Ending Page | 212 |
| File Size | 1405261 |
| Page Count | 7 |
| File Format | |
| ISBN | 9781467351171 |
| ISSN | 21647143 |
| e-ISBN | 9781467351195 |
| DOI | 10.1109/ISDA.2012.6416538 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-11-27 |
| Publisher Place | India |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Decision support systems publish/subscribe data streams event detection Intelligent systems Mercury (metals) fuzzy matching |
| Content Type | Text |
| Resource Type | Article |
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