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| Record identifier
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565154
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| Personal Name - Primary Intelectual Responsibility
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Jannatbabaei, Sajjad
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| Title and statement of responsibility
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Application of Data Mining to Detect Fraud in Auto Insurance [Thesis]/جنت بابایی ، سجاد;supervisor: Atousa Goodarzi;advisor: Reza Ofoghi
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| Publication, Distribution,Etc.
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, 2013
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| Language of the Item
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eng
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| Internal Bibliographies/Indexes Note
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Bibliogrphy
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| Dissertation of thesis details and type of degree
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Master of Science
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| Discipline of degree
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, Actuarial Science
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| Body granting the degree
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, Allameh Tabatabaei University, ECO College of Insurance
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| Summary or Abstract
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.در این پایان نامه تکنیک های متداول و پر کاربرد مانند رگرسیون لجستیک ، درخت تصمیم و بیز ساده بکار گرفته شده است . این تکنیک ها بر روی داده های واقعی که مربوط به شرکت بیمه ایران است اعمال شده است.با در نظر گرفتن هفت متغیر توضیحی که به نظر در تقلبات بیمه‌ای موثر می آمدند مدل اجرا شده است
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From the economics view point, financial fraud in insurance industry is becoming an increasingly serious problem. Nowadays, data mining techniques can be used for construction of detection models and fraud patterns. Data mining plays an important role in financial fraud detection, as it is often applied to show the hidden truths behind very large quantities of data. Insurance company can discover the hidden pattern among the data modeling and the pattern can reduces fraud. Therefore they can improve their risk management and liability..
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| Topical Name Used as Subject
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Fraud
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Auto insurance
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Decision tree
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| Uncontrolled Subject Terms
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تقلب
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بیمه اتومبیل
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درخت تصمیم
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رگرسیون لجستیک
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| Information of biblio record
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TL
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http://dl.islamicdoc.com/site/catalogue/565154
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