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Data - mining as a competition enforcement tool / Shahira M. M. Abdelfatah ; Supervised Laila Fahmy Abdelal , Mervat H. Gheith , Diyaa Abdein M. Atiya

By: Contributor(s): Material type: TextTextLanguage: English Publication details: Cairo : Shahira Mohamed Mahmoud Abdelfatah , 2012Description: 73P. : charts ; 25cmOther title:
  • المعالجة المعلوماتية للبيانات وحماية المنافسه فى الاسواق الاقتصادية [Added title page title]
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Dissertation note: Thesis (M.Sc.) - Cairo University - Faculty of Science - Department of Mathematics Summary: The essential objective in this thesis is to find a system for enforcing competition by detecting fraud in procurement bidding . We use data mining techniques , to continuously sift through market data and proactively look for odd patterns or anomalous signs that might indicate the existence of bid rigging in procurement . We provide an overiew on data mining and bid rigging , then we propose and experiment with two data mining techniques (decision trees and association rules) for the detection of bid rigging activities in market data
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Item type Current library Home library Call number Copy number Status Barcode
Thesis Thesis قاعة الرسائل الجامعية - الدور الاول المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.12.17.M.Sc.2012.Sh.D (Browse shelf(Opens below)) Not for loan 01010110059777000
CD - Rom CD - Rom مخـــزن الرســائل الجـــامعية - البدروم المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.12.17.M.Sc.2012.Sh.D (Browse shelf(Opens below)) 59777.CD Not for loan 01020110059777000

Thesis (M.Sc.) - Cairo University - Faculty of Science - Department of Mathematics

The essential objective in this thesis is to find a system for enforcing competition by detecting fraud in procurement bidding . We use data mining techniques , to continuously sift through market data and proactively look for odd patterns or anomalous signs that might indicate the existence of bid rigging in procurement . We provide an overiew on data mining and bid rigging , then we propose and experiment with two data mining techniques (decision trees and association rules) for the detection of bid rigging activities in market data

Issued also as CD

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