Auflistung nach Schlagwort "Expert system"
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- TextdokumentImproving a Rule-based Fraud Detection System with Classification Based on Association Rule Mining(INFORMATIK 2021, 2021) Baumann, MichaelaImproving a Rule-based Fraud Detection System with Classification Based on Association Rule MiningThe detection of fraudulent insurance claims is a great challenge for insurance companies. Although the detection possibilities are getting better and better, fraudsters do not hesitate also using newer and more sophisticated methods. Apart from establishing new fraud detection systems, also the existing systems need to be updated and improved as best as possible. One common detection system is a rule-based expert system that checks predefined rules and gives alerts when certain conditions are met. Usually, the rules are treated separately and correlations within the rules are considered insufficiently. The work at hand describes how the classification based on association rule mining is used for improving such rule-based systems by bringing in relations between pairs of rules. The rule weights are determined through a genetic optimizer.
- ZeitschriftenartikelMoNA: A Forensic Analysis Platform for Mobile Communication(KI - Künstliche Intelligenz: Vol. 36, No. 2, 2022) Spranger, Michael; Xi, Jian; Jaeckel, Lukas; Felser, Jenny; Labudde, DirkMobile communication devices are a popular means of planning, commissioning and carrying out criminal offenses. In particular, data from messengers such as WhatsApp or Telegram often contain conclusive information. Organized crime also usually involves many devices, but not all of them contain the full history of communication. Rather, it is heavily fragmented due to individual deletions of messages or different joining times to groups. A singular evaluation of individual devices is therefore often not expedient, since important relationships cannot be recognized. Furthermore, communication is often distributed across different channels and modalities and can only be fully and correctly understood through a joint semantic analysis. The linking of related communications of different devices enables an almost complete reconstruction of the communication with a simultaneous reduction in reading effort by merging identical messages. Grouping coherent messages into conversations enables efficient comparison with a knowledge model. Building such a model is complex, but can be supported by a term recommender system. In this paper, MoNA is presented as a platform that implements these approaches and enables an assisted analysis of mobile communications.