A recommender tool for classification algorithms / (Record no. 80392)
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000 -LEADER | |
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fixed length control field | 03038cam a2200337 a 4500 |
003 - CONTROL NUMBER IDENTIFIER | |
control field | EG-GiCUC |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20250223032720.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 210327s2020 ua d 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 | Cai01.20.03.M.Sc.2020.Ma.R |
100 0# - MAIN ENTRY--PERSONAL NAME | |
Personal name | Mariam Moustafa Reda Abdallah Eltantawi |
245 12 - TITLE STATEMENT | |
Title | A recommender tool for classification algorithms / |
Statement of responsibility, etc. | Mariam Moustafa Reda Abdallah Eltantawi ; Supervised Akram Salah , Mohammed Nassef |
246 15 - VARYING FORM OF TITLE | |
Title proper/short title | أداة تزكية للخوارزميات التصنيفية |
260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
Place of publication, distribution, etc. | Cairo : |
Name of publisher, distributor, etc. | Mariam Moustafa Reda Abdallah Eltantawi , |
Date of publication, distribution, etc. | 2020 |
300 ## - PHYSICAL DESCRIPTION | |
Extent | 104 Leaves : |
Other physical details | charts ; |
Dimensions | 30cm |
502 ## - DISSERTATION NOTE | |
Dissertation note | Thesis (M.Sc.) - Cairo University - Faculty of Computers and Artificial Intelligence - Department of Computer Science |
520 ## - SUMMARY, ETC. | |
Summary, etc. | In the process of selecting the most appropriate classification algorithm, there are two main tasks. The determination of the factors that will be used in the selection process and the methodology that will be used to make use of these factors and decide upon the most appropriate algorithm to solve the problem. The first task is to characterize datasets; by extracting its characteristics/meta-data or by adopting a reasonable characterization approach, whilst the second task is the learning and deciding task based on the characterization. Choosing the most appropriate classification algorithm for classification problem is becoming a strategically important task in the data-mining process. Due to the availability of numerous classification algorithms in the area of data mining for solving the same kind of problem, with little guidance available for recommending the most appropriate algorithm to use which gives best results for the dataset at hand, this task becomes more and more complicated. As a way of optimizing the chances of recommending the most appropriate classification algorithm for a dataset, a two-step study was conducted: (1) Survey study focusing on the different factors considered by data miners and researchers in different studies when manually selecting the classification algorithms that will yield desired knowledge for the dataset at hand, a categorization tree was created for the measurable factors.The categorization tree, groups and categorizes these factors so that they can be exploited by recommendation software tools. (2) Experimental study of an automated tool based on a pure Collaborative Filtering Recommender System, User-Item approach, to recommend the most appropriate classification algorithm for a classification problem, relying on historical datasets meta-data |
530 ## - ADDITIONAL PHYSICAL FORM AVAILABLE NOTE | |
Additional physical form available note | Issued also as CD |
653 #4 - INDEX TERM--UNCONTROLLED | |
Uncontrolled term | Algorithm selection |
653 #4 - INDEX TERM--UNCONTROLLED | |
Uncontrolled term | Classification |
653 #4 - INDEX TERM--UNCONTROLLED | |
Uncontrolled term | Data mining |
700 0# - ADDED ENTRY--PERSONAL NAME | |
Personal name | Akram Salah , |
Relator term | |
700 0# - ADDED ENTRY--PERSONAL NAME | |
Personal name | Mohammed Nassef , |
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 | Shimaa |
Reviser | Cataloger |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Source of classification or shelving scheme | Dewey Decimal Classification |
Koha item type | Thesis |
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 |
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Dewey Decimal Classification | المكتبة المركزبة الجديدة - جامعة القاهرة | قاعة الرسائل الجامعية - الدور الاول | 11.02.2024 | Cai01.20.03.M.Sc.2020.Ma.R | 01010110083036000 | 22.09.2023 | Thesis | ||
Dewey Decimal Classification | المكتبة المركزبة الجديدة - جامعة القاهرة | مخـــزن الرســائل الجـــامعية - البدروم | 11.02.2024 | Cai01.20.03.M.Sc.2020.Ma.R | 01020110083036000 | 22.09.2023 | CD - Rom | 83036.CD |