TR201820767A2 - A SYSTEM TO AUTOMATICALLY MEAN COMPONENTS - Google Patents

A SYSTEM TO AUTOMATICALLY MEAN COMPONENTS Download PDF

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Publication number
TR201820767A2
TR201820767A2 TR2018/20767A TR201820767A TR201820767A2 TR 201820767 A2 TR201820767 A2 TR 201820767A2 TR 2018/20767 A TR2018/20767 A TR 2018/20767A TR 201820767 A TR201820767 A TR 201820767A TR 201820767 A2 TR201820767 A2 TR 201820767A2
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TR
Turkey
Prior art keywords
automatically
derived
present
mean components
data mining
Prior art date
Application number
TR2018/20767A
Other languages
Turkish (tr)
Inventor
Güngör Sali̇h
Tümer Canburak
Original Assignee
Turkcell Teknoloji Arastirma Ve Gelistirme Anonim Sirketi
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Turkcell Teknoloji Arastirma Ve Gelistirme Anonim Sirketi filed Critical Turkcell Teknoloji Arastirma Ve Gelistirme Anonim Sirketi
Priority to TR2018/20767A priority Critical patent/TR201820767A2/en
Publication of TR201820767A2 publication Critical patent/TR201820767A2/en

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  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)

Abstract

Bu buluş, veri madenciliği yapılırken, ortaya çıkarılan ve/veya türetilen verilerde yer alan bileşenleri otomatik olarak anlamlandıran bir sistem (1) ile ilgilidir. Bu buluşun amacı, veri madenciliği yapılırken temel bileşen analizi yöntemi ile ortaya çıkarılan ve/veya türetilen yeni bileşenleri temsil eden özdeğer vektörlerinin otomatik olarak anlamlandırılmasıyla kullanıcının daha kolay anlamasını sağlayan bir sistem (1) gerçekleştirmektir.The present invention relates to a system (1) that automatically makes sense of the components contained in the extracted and / or derived data while doing data mining. The aim of the present invention is to realize a system (1) that enables the user to understand more easily by automatically interpreting the eigenvalue vectors representing the new components revealed and / or derived by the principal component analysis method during data mining.

TR2018/20767A 2018-12-27 2018-12-27 A SYSTEM TO AUTOMATICALLY MEAN COMPONENTS TR201820767A2 (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
TR2018/20767A TR201820767A2 (en) 2018-12-27 2018-12-27 A SYSTEM TO AUTOMATICALLY MEAN COMPONENTS

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
TR2018/20767A TR201820767A2 (en) 2018-12-27 2018-12-27 A SYSTEM TO AUTOMATICALLY MEAN COMPONENTS

Publications (1)

Publication Number Publication Date
TR201820767A2 true TR201820767A2 (en) 2019-03-21

Family

ID=67980907

Family Applications (1)

Application Number Title Priority Date Filing Date
TR2018/20767A TR201820767A2 (en) 2018-12-27 2018-12-27 A SYSTEM TO AUTOMATICALLY MEAN COMPONENTS

Country Status (1)

Country Link
TR (1) TR201820767A2 (en)

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