MARC details
000 -LEADER |
fixed length control field |
02795cam a2200313 a 4500 |
003 - CONTROL NUMBER IDENTIFIER |
control field |
EG-GiCUC |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
fixed length control field |
190716s2018 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 |
Cai01.18.02.M.Sc.2018.Eb.I |
100 0# - MAIN ENTRY--PERSONAL NAME |
Personal name |
Ebtesam Elhossiny Elhossiny Hassan Shemis |
245 13 - TITLE STATEMENT |
Title |
An improved approach for association rule extraction using fuzzy formal concept analysis / |
Statement of responsibility, etc. |
Ebtesam Elhossiny Elhossiny Hassan Shemis ; Supervised Hesham Ahmed Hefny , Ahmed Mohammed Gadallah |
246 15 - VARYING FORM OF TITLE |
Title proper/short title |
أسلوب مُحسُّن لاستخلاص قواعد الارتباط باستخدام تحليل المفهوم الصوري الفازي |
260 ## - PUBLICATION, DISTRIBUTION, ETC. |
Place of publication, distribution, etc. |
Cairo : |
Name of publisher, distributor, etc. |
Ebtesam Elhossiny Elhossiny Hassan Shemis , |
Date of publication, distribution, etc. |
2018 |
300 ## - PHYSICAL DESCRIPTION |
Extent |
199 Leaves : |
Other physical details |
charts ; |
Dimensions |
30cm |
502 ## - DISSERTATION NOTE |
Dissertation note |
Thesis (M.Sc.) - Cairo University - Institute of Statistical Studies and Research - Department of Computer and Information Science |
520 ## - SUMMARY, ETC. |
Summary, etc. |
Intuitively, extensive involvement of the computerized system in almost all life aspects produces a massive amount of data. Such data needs to be processed, analyzed, retrieved and mined. Formal concept analysis (FCA) is a powerful tool for handling data manipulation tasks (retrieval, analysis, and mining). However, the classical FCA can only handle binary data directly. Therefore, it handles quantitative data by mapping them to binary values through dividing attribute range into a set of disjoint intervals. In consequence, FCA suffers from crisp boundaries problem regarding quantitative datasets. One of the most promising ways to overcome such deficiency in FCA is the adoption of the fuzzy set and fuzzy logic theory. In this case, fuzzy FCA (FFCA) can easily deal with such clear-cut boundaries in quantitative datasets. This dissertation concerned mainly with the ability to perform data mining in large data sets with the aid of FFCA. The proposed approach introduces the notion of one-sided fuzzy iceberg lattice which accelerates the entire mining process and best suits the association rule mining approach. The proposed fuzzy iceberg lattice contains all frequent closed itemsets associated with their corresponding fuzzy supports. Hence, it presents a straight-forward way for extracting association rules. Furthermore, in this dissertation, two enhanced algorithms, object-based and attribute-based, for extracting fuzzy concepts using FFCA are proposed |
530 ## - ADDITIONAL PHYSICAL FORM AVAILABLE NOTE |
Additional physical form available note |
Issued also as CD |
653 #4 - INDEX TERM--UNCONTROLLED |
Uncontrolled term |
Formal concept analysis (FCA) |
653 #4 - INDEX TERM--UNCONTROLLED |
Uncontrolled term |
Fuzzy FCA (FFCA) |
653 #4 - INDEX TERM--UNCONTROLLED |
Uncontrolled term |
Mining |
700 0# - ADDED ENTRY--PERSONAL NAME |
Personal name |
Ahmed Mohammed Gadallah , |
Relator term |
|
700 0# - ADDED ENTRY--PERSONAL NAME |
Personal name |
Hesham Ahmed Hefny , |
Relator term |
|
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 |