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Improving the BACON algorithm for multivariate continuous data / Hala Adel Sobeih ; Supervised Ali S. Hadi , Amir S. Atiya

By: Contributor(s): Language: Eng Publication details: Cairo : Hala Adel Sobeih , 2008Description: 469P. ; 30cmOther title:
  • تحسين اداء طريقة باكون عند استخدام البيانات المتصلة عديدة التغيرات [Added title page title]
Subject(s): Available additional physical forms:
  • Issued also as CD
Dissertation note: Thesis(M.Sc.) - Cairo University - Faculty of Engineering - Department of Computer Engineering Summary: This thesis addresses the problem of outlier identification in multivariate continuous data. It presents some modifications to the BACON approach to overcome some of its drawbacks with the objective of finding the most suitable version in terms of both performance and time
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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 Cai01.13.06.M.Sc.2008.Ha.I (Browse shelf(Opens below)) Not for loan 01010110050267000
CD - Rom CD - Rom مخـــزن الرســائل الجـــامعية - البدروم المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.13.06.M.Sc.2008.Ha.I (Browse shelf(Opens below)) 50267.CD Not for loan 01020110050267000

Thesis(M.Sc.) - Cairo University - Faculty of Engineering - Department of Computer Engineering

This thesis addresses the problem of outlier identification in multivariate continuous data. It presents some modifications to the BACON approach to overcome some of its drawbacks with the objective of finding the most suitable version in terms of both performance and time

Issued also as CD

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