Sökning: "Call detail records"

Hittade 3 uppsatser innehållade orden Call detail records.

  1. 1. Telecom Fraud Detection Using Machine Learning

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Chao Xiong; [2022]
    Nyckelord :Fraud Detection; Anomaly Detection; Machine Learning; Deep Learning; International Revenue Sharing Fraud;

    Sammanfattning : International Revenue Sharing Fraud (IRSF) is one of the most persistent types of fraud within the telecommunications industry. According to the 2017 Communications Fraud Control Association (CFCA) fraud loss survey, IRSF costs 6 billion dollars a year. Therefore, the detection of such frauds is of vital importance to avoid further loss. LÄS MER

  3. 2. Capturing continuous human movement on a linear network with mobile phone towers

    Master-uppsats, Umeå universitet/Institutionen för matematik och matematisk statistik

    Författare :Jesper Dejby; [2017]
    Nyckelord :Mobile phone tower analysis; Mobile phone networks; Spatial point processes; Linear networks; Call detail records; Human movement; Human trajectories; Markov decision processes; Continuous random walks;

    Sammanfattning : Anonymous Call Detail Records (CDR’s) from mobile phone towers provide a unique opportunity to aggregate individual location data to overall human mobility patterns. Flowminder uses this data to improve the welfare of low- and middle-income countries. The movement patterns are studied through key measurements of mobility. LÄS MER

  4. 3. Mobility analysis with mobile phone data

    Master-uppsats, Linköpings universitet/Kommunikations- och transportsystem; Linköpings universitet/Tekniska högskolan

    Författare :Botond Rajna; [2014]
    Nyckelord :Cellular; Call Detail Records; Travel demand; Travel time;

    Sammanfattning : The thesis evaluates mobility based on mobile phone positions. The aim is to develop and assess different methods for travel demand estimation based on CDR data. Besides this estimation location data in cellular data is explained in more detail and a previous work based on mobile phone data and travel demand estimation is reviewed. LÄS MER