{"title":"部分模式实现及其在事件处理中的应用:海报","authors":"Suad Sejdovic","doi":"10.1145/2933267.2933537","DOIUrl":null,"url":null,"abstract":"Within the last few years, event processing has been gaining a lot of attention as it represents a powerful possibility to establish a real-time monitoring and situation detection. The real-time detection of situations allows a timely reaction and helps to reduce the damage made by harmful situations or increase the benefit of opportunities. The so called situation of interest (SOI) is described as a pattern, which represents a combination of events describing their temporal causality. Instead of just detecting SOIs, we search for possibilities to predict them. As patterns are the basis for reactive event processing, we also want to exploit them for proactive event processing. Therefore, we immerse into the world of pattern management to gain a better understanding of patterns, their structure and expressiveness.","PeriodicalId":277061,"journal":{"name":"Proceedings of the 10th ACM International Conference on Distributed and Event-based Systems","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Partial pattern fulfillment and its application in event processing: poster\",\"authors\":\"Suad Sejdovic\",\"doi\":\"10.1145/2933267.2933537\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Within the last few years, event processing has been gaining a lot of attention as it represents a powerful possibility to establish a real-time monitoring and situation detection. The real-time detection of situations allows a timely reaction and helps to reduce the damage made by harmful situations or increase the benefit of opportunities. The so called situation of interest (SOI) is described as a pattern, which represents a combination of events describing their temporal causality. Instead of just detecting SOIs, we search for possibilities to predict them. As patterns are the basis for reactive event processing, we also want to exploit them for proactive event processing. Therefore, we immerse into the world of pattern management to gain a better understanding of patterns, their structure and expressiveness.\",\"PeriodicalId\":277061,\"journal\":{\"name\":\"Proceedings of the 10th ACM International Conference on Distributed and Event-based Systems\",\"volume\":\"3 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-06-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 10th ACM International Conference on Distributed and Event-based Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2933267.2933537\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 10th ACM International Conference on Distributed and Event-based Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2933267.2933537","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Partial pattern fulfillment and its application in event processing: poster
Within the last few years, event processing has been gaining a lot of attention as it represents a powerful possibility to establish a real-time monitoring and situation detection. The real-time detection of situations allows a timely reaction and helps to reduce the damage made by harmful situations or increase the benefit of opportunities. The so called situation of interest (SOI) is described as a pattern, which represents a combination of events describing their temporal causality. Instead of just detecting SOIs, we search for possibilities to predict them. As patterns are the basis for reactive event processing, we also want to exploit them for proactive event processing. Therefore, we immerse into the world of pattern management to gain a better understanding of patterns, their structure and expressiveness.