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03825nam a2200301Ia 4500 |
| 001 - CONTROL NUMBER |
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74116 |
| 003 - CONTROL NUMBER IDENTIFIER |
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ft6076 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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20251124103507.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
180920n 000 0 eng d |
| 040 ## - CATALOGING SOURCE |
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| Description conventions |
rda |
| 041 ## - LANGUAGE CODE |
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| Language code of text/sound track or separate title |
engtag |
| 050 ## - LIBRARY OF CONGRESS CALL NUMBER |
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| Classification number |
QA76.9 M35 2016 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
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| Classification number |
. |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
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| Personal name |
Malubag, Zia Yzabelle G.; Navarrete, Shiela Marie M. |
| 245 #0 - TITLE STATEMENT |
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| Title |
An Enhancement of the Equivalence Class Transformation Algorithm Applied in Market Basket Analysis |
| 264 ## - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
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| Place of production, publication, distribution, manufacture |
. |
| Name of producer, publisher, distributor, manufacturer |
. |
| Date of production, publication, distribution, manufacture, or copyright notice |
2016 |
| 300 ## - PHYSICAL DESCRIPTION |
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| Other physical details |
Undergraduate Thesis: (BSCS major in Computer Science) - Pamantasan ng Lungsod ng Maynila, 2016. |
| 336 ## - CONTENT TYPE |
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| Content type code |
. |
| Content type term |
text |
| Source |
rdacontent |
| 337 ## - MEDIA TYPE |
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| Materials specified |
0 |
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. |
| Media type term |
unmediated |
| Source |
rdamedia |
| 338 ## - CARRIER TYPE |
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| Materials specified |
0 |
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. |
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volume |
| Source |
rdacarrier |
| 505 ## - FORMATTED CONTENTS NOTE |
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| Formatted contents note |
ABSTRACT: Data mining has a major concern on precise specification on items in large databases. The equivalence class transformation algorithm is specifically applied in market basket analysis. Market Basket Analysis is used to know the statistics of items that are less salable and frequently sold. However, the researchers found some problems and limitations in the existing process. Through simulation of the existing algorithm the researchers found out that for having bigger Transaction ID set the computation time is costly when interesting. Along with this, due to its downward closure property, the infrequent items set often found on the later part of candidate generation. Lastly, through the use of uniform user-defined support count the number if item sets to be prune is numerous. Due to the slow performance in analysing huge volumes of data, the researchers came up with simplified process to a faster and more convenient transaction that will benefit both the consumers and dealers. The researchers introduce an enhancement to the existing process of the equivalence class transformation wherein it lessens the number of transaction to be process. The infrequent items can be easily distinguished and the upgrade of the use of support count is implemented. The enhancement of equivalence class transformation algorithm presented by the researchers is beneficial for easy, fast, and convenient transaction of items that will help both consumers and dealers. |
| 506 ## - RESTRICTIONS ON ACCESS NOTE |
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| Terms governing access |
5 |
| 520 ## - SUMMARY, ETC. |
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| Summary, etc. |
ABSTRACT: Data mining has a major concern on precise specification on items in large databases. The equivalence class transformation algorithm is specifically applied in market basket analysis. Market Basket Analysis is used to know the statistics of items that are less salable and frequently sold. However, the researchers found some problems and limitations in the existing process. Through simulation of the existing algorithm the researchers found out that for having bigger Transaction ID set the computation time is costly when interesting. Along with this, due to its downward closure property, the infrequent items set often found on the later part of candidate generation. Lastly, through the use of uniform user-defined support count the number if item sets to be prune is numerous. Due to the slow performance in analysing huge volumes of data, the researchers came up with simplified process to a faster and more convenient transaction that will benefit both the consumers and dealers. The researchers introduce an enhancement to the existing process of the equivalence class transformation wherein it lessens the number of transaction to be process. The infrequent items can be easily distinguished and the upgrade of the use of support count is implemented. The enhancement of equivalence class transformation algorithm presented by the researchers is beneficial for easy, fast, and convenient transaction of items that will help both consumers and dealers. |
| 526 ## - STUDY PROGRAM INFORMATION NOTE |
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| Classification |
Filipiniana |
| 540 ## - TERMS GOVERNING USE AND REPRODUCTION NOTE |
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| Terms governing use and reproduction |
5 |
| 655 ## - INDEX TERM--GENRE/FORM |
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| Genre/form data or focus term |
academic writing |
| 942 ## - ADDED ENTRY ELEMENTS |
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| Institution code [OBSOLETE] |
lcc |
| Item type |
Archival materials |
| Source of classification or shelving scheme |
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