{"title":"基于IP的即时人际通信中的用法分析","authors":"Alexandre Bouchacourt, L. Lancieri","doi":"10.1109/ECUMN.2007.57","DOIUrl":null,"url":null,"abstract":"This paper investigates the contribution of data mining techniques in order to optimize IP based real time services such as instant messaging or telephony over IP. The main difficulty is here to handle temporal constraints and to interpret the corresponding raw data into users' behaviour high level knowledge. As an example, we focus on IM and try to find a light mean to detect conversations consistent from the human point of view (i.e sum of several basic exchanges)","PeriodicalId":202819,"journal":{"name":"Fourth European Conference on Universal Multiservice Networks (ECUMN'07)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Usages Analysis in Instant Interpersonal Communications over IP\",\"authors\":\"Alexandre Bouchacourt, L. Lancieri\",\"doi\":\"10.1109/ECUMN.2007.57\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper investigates the contribution of data mining techniques in order to optimize IP based real time services such as instant messaging or telephony over IP. The main difficulty is here to handle temporal constraints and to interpret the corresponding raw data into users' behaviour high level knowledge. As an example, we focus on IM and try to find a light mean to detect conversations consistent from the human point of view (i.e sum of several basic exchanges)\",\"PeriodicalId\":202819,\"journal\":{\"name\":\"Fourth European Conference on Universal Multiservice Networks (ECUMN'07)\",\"volume\":\"29 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-02-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Fourth European Conference on Universal Multiservice Networks (ECUMN'07)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ECUMN.2007.57\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Fourth European Conference on Universal Multiservice Networks (ECUMN'07)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ECUMN.2007.57","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Usages Analysis in Instant Interpersonal Communications over IP
This paper investigates the contribution of data mining techniques in order to optimize IP based real time services such as instant messaging or telephony over IP. The main difficulty is here to handle temporal constraints and to interpret the corresponding raw data into users' behaviour high level knowledge. As an example, we focus on IM and try to find a light mean to detect conversations consistent from the human point of view (i.e sum of several basic exchanges)