Data cleaning using machine learning techniques / (Record no. 82453)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 03016cam a2200349 a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | EG-GiCUC |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20250223032825.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 211005s2021 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 | Ph.D |
| 099 ## - LOCAL FREE-TEXT CALL NUMBER (OCLC) | |
| Classification number | Cai01.20.04.Ph.D.2021.Ay.D |
| 100 0# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Ayat Mahmoud Ahmed Mohamed |
| 245 10 - TITLE STATEMENT | |
| Title | Data cleaning using machine learning techniques / |
| Statement of responsibility, etc. | Ayat Mahmoud Ahmed Mohamed ; Supervised Sherif Mazen , Ayman Elkilany , Farid Ali |
| 246 15 - VARYING FORM OF TITLE | |
| Title proper/short title | تنقية البيانات باستخدام تقنيات تعلم الآلة |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | Cairo : |
| Name of publisher, distributor, etc. | Ayat Mahmoud Ahmed Mohamed , |
| Date of publication, distribution, etc. | 2021 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 79 Leaves : |
| Other physical details | charts ; |
| Dimensions | 30cm |
| 502 ## - DISSERTATION NOTE | |
| Dissertation note | Thesis (Ph.D.) - Cairo University - Faculty of Computers and Artificial Intelligence - Department of Information Systems |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | Data quality is one of the most important problems in data management, since corrupt data often leads to inaccurate data analytics results and wrong business decisions. Detecting and repairing dirty data is one of the perennial challenges in data analytics, and failure to do so can result in inaccurate analytics and unreliable decisions. In today{u2019}s era of internet, the amount of data generation is growing and increasing, some of the data related to medical, e-commerce, social networking are of great importance. But many of these datasets are imbalanced that is some records belonging to same category are very large number and some are very rare. In other words, Imbalanced class distribution is a scenario where the number of observations belonging to one class is significantly lower than those belonging to the other classes. This problem is predominant in scenarios where anomaly detection is crucial like electricity pilferage, fraudulent transactions in banks, identification of rare diseases, etc. Most of the classical methods of machine learning algorithms have demonstrated shortcomings when used with imbalanced data. Conventional machine learning algorithms do not work well for imbalanced data classification because it assumes equal costs for each class.Thus, conventional machine learning algorithms could be biased and inaccurate.This thesis explores the nature of imbalanced data classification problem, introduces a survey on existing machine learning algorithms along with suggested taxonomy for all imbalanced data learning approaches.It also introduces a comparative study between the existing machine learning algorithms with respect to some factors. Then it proposes three solutions to the challenge of imbalanced data classification |
| 530 ## - ADDITIONAL PHYSICAL FORM AVAILABLE NOTE | |
| Additional physical form available note | Issued also as CD |
| 653 #4 - INDEX TERM--UNCONTROLLED | |
| Uncontrolled term | Classification |
| 653 #4 - INDEX TERM--UNCONTROLLED | |
| Uncontrolled term | Data Cleaning |
| 653 #4 - INDEX TERM--UNCONTROLLED | |
| Uncontrolled term | Imbalanced |
| 700 0# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Ayman Elkilany , |
| Relator term | |
| 700 0# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Farid Ali , |
| Relator term | |
| 700 0# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Sherif Mazen , |
| 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 |
|---|---|---|---|---|---|---|---|---|---|
| Dewey Decimal Classification | المكتبة المركزبة الجديدة - جامعة القاهرة | قاعة الرسائل الجامعية - الدور الاول | 11.02.2024 | Cai01.20.04.Ph.D.2021.Ay.D | 01010110084357000 | 22.09.2023 | Thesis | ||
| Dewey Decimal Classification | المكتبة المركزبة الجديدة - جامعة القاهرة | مخـــزن الرســائل الجـــامعية - البدروم | 11.02.2024 | Cai01.20.04.Ph.D.2021.Ay.D | 01020110084357000 | 22.09.2023 | CD - Rom | 84357.CD |