Araştırma Çıktıları | WoS | Scopus | TR-Dizin | PubMed

Permanent URI for this communityhttps://hdl.handle.net/20.500.14719/1741

Browse

End date: 2026Type: search.filters.itemtype.Proceedings PaperType: search.filters.itemtype.ArticleSubject: search.filters.subject.Computer Science, Theory & Methods

Search Results

Now showing 1 - 2 of 2
  • No Thumbnail Available
    PublicationMetadata only
    Fraud Detection Using an Adaptive Neuro-Fuzzy Inference System in Mobile Telecommunication Networks
    (OLD CITY PUBLISHING INC, 2009) Sanver, Mert; Karahoca, Adem; Stanford University; Bahcesehir University
    GSM (Global Services of Mobile Communications) 1800 licenses were granted in the beginning of the 2000's in Turkey. Especially in the installation phase of the wireless telecom services, fraud usage can be an important source of revenue loss. Fraud can be defined as a dishonest or illegal use of services, with the intention to avoid service charges. Fraud detection is the name of the activities to identify unauthorized usage and prevent losses for the mobile network operators'. Mobile phone user's intentions may be predicted by the call detail records (CDRs) by using data mining (DM) techniques. This study compares various data mining techniques to obtain the best practical solution for the telecom fraud detection and offers the Adaptive Neuro Fuzzy Inference (ANFIS) method as a means to efficient fraud detection. In the test run, shown that ANFIS has provided sensitivity of 97% and specificity of 99%, where it classified 98.33% of the instances correctly.
  • No Thumbnail Available
    PublicationMetadata only
    Prioritization of relational capital measurement indicators using fuzzy AHP
    (OLD CITY PUBLISHING INC, 2008) Beskese, Ahmet; Bozbura, F. Tunc; Bahcesehir University
    Relational capital (RC) is one of the three sub-dimensions of the intellectual capital which is the SLIM of all assets that arrange and manage the firm's relations with its environment. It contains the relations with outside stakeholders (i.e. customers, shareholders, suppliers and rivals, the state, governmental institutions and society). The most important component of RC is customer relations, however, it is not the only one to be taken into consideration. Measuring the RC is related to how the environment perceives the firm. To control and manage this perception, the companies must measure it first. This study aims at defining a methodology to improve the quality of prioritization of RC measurement indicators under uncertain conditions. To do so, a methodology based on Chang's extent fuzzy analytic hierarchy process (AHP) is applied. Within the model, main attributes, their sub-attributes and 9 measurement indicators are defined. To define the priority of each indicator, preferences of experts are gathered using a pair-wise comparison based questionnaire.