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Handling mixed categorical and numerical features in machine learning techniques / (Record no. 58763)

MARC details
000 -LEADER
fixed length control field 02041cam a2200337 a 4500
003 - CONTROL NUMBER IDENTIFIER
control field EG-GiCUC
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250223031618.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 161124s2016 ua dh f m 000 0 eng d
040 ## - CATALOGING SOURCE
Original cataloging agency EG-GiCUC
Language of cataloging eng
Transcribing agency EG-GiCUC
041 0# - LANGUAGE CODE
Language code of text/sound track or separate title eng
049 ## - LOCAL HOLDINGS (OCLC)
Holding library Deposite
097 ## - Thesis Degree
Thesis Level M.Sc
099 ## - LOCAL FREE-TEXT CALL NUMBER (OCLC)
Classification number Cai01.13.06.M.Sc.2016.Di.H
100 0# - MAIN ENTRY--PERSONAL NAME
Personal name Dina Tantawy Hassan Saleh
245 10 - TITLE STATEMENT
Title Handling mixed categorical and numerical features in machine learning techniques /
Statement of responsibility, etc. Dina Tantawy Hassan Saleh ; Supervised Amir Fouad Sorial Atiya , Olfat Gamil Shaker
246 15 - VARYING FORM OF TITLE
Title proper/short title معالجة الخصائص الرقمية والفئوية المختلطة في طرق تعليم الآلة
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Cairo :
Name of publisher, distributor, etc. Dina Tantawy Hassan Saleh ,
Date of publication, distribution, etc. 2016
300 ## - PHYSICAL DESCRIPTION
Extent 94 P. :
Other physical details charts , facsimiles ;
Dimensions 30cm
502 ## - DISSERTATION NOTE
Dissertation note Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Computer Engineering
520 ## - SUMMARY, ETC.
Summary, etc. Most classi{uFB01}ers cannot handle mixed categorical and numerical features directly. Each classi{uFB01}er is usually built for only one type of features either categorical or numerical ones. This study analyzes the handling technique using mid-sized data on several di{uFB00}erent classi{uFB01}ers. It also introduce a number of new techniques like dynamic simplex, catRank, Joint measure and devise the proof for kernelized versions of IOF, OF, Goodall, Lin and overlap measures. A case study on breast cancer prediction is also provided with some recommendation for both medical and machine learning parts. The study reveals an association between classi{uFB01}ers and techniques and provides some recommendation for handling techniques usage
530 ## - ADDITIONAL PHYSICAL FORM AVAILABLE NOTE
Additional physical form available note Issued also as CD
653 #4 - INDEX TERM--UNCONTROLLED
Uncontrolled term Classi{uFB01}cation
653 #4 - INDEX TERM--UNCONTROLLED
Uncontrolled term Machine Learning
653 #4 - INDEX TERM--UNCONTROLLED
Uncontrolled term Mixed Categorical and Numerical
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Amir Fouad Sorial Atiya ,
Relator term
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Olfat Gamil Shaker ,
Relator term
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="http://172.23.153.220/th.pdf">http://172.23.153.220/th.pdf</a>
905 ## - LOCAL DATA ELEMENT E, LDE (RLIN)
Cataloger Nazla
Reviser Revisor
905 ## - LOCAL DATA ELEMENT E, LDE (RLIN)
Cataloger Samah
Reviser Cataloger
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Thesis
Holdings
Source of classification or shelving scheme Not for loan Home library Current library Date acquired Full call number Barcode Date last seen Koha item type Copy number
Dewey Decimal Classification   المكتبة المركزبة الجديدة - جامعة القاهرة قاعة الرسائل الجامعية - الدور الاول 11.02.2024 Cai01.13.06.M.Sc.2016.Di.H 01010110069998000 22.09.2023 Thesis  
Dewey Decimal Classification   المكتبة المركزبة الجديدة - جامعة القاهرة مخـــزن الرســائل الجـــامعية - البدروم 11.02.2024 Cai01.13.06.M.Sc.2016.Di.H 01020110069998000 22.09.2023 CD - Rom 69998.CD