Data clustering using maximum dependency of attributes and its application to cluster agricultural products / (Record no. 3637)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 01491nam a2200253 a 4500 |
| 001 - CONTROL NUMBER | |
| control field | vtls000067581 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | KUKTEM |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20251114204529.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 121210t2012 my da f m 000 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | THE0002013(Local) |
| 039 #9 - LEVEL OF BIBLIOGRAPHIC CONTROL AND CODING DETAIL [OBSOLETE] | |
| Level of rules in bibliographic description | 201905131604 |
| Level of effort used to assign nonsubject heading access points | yusri |
| Level of effort used to assign subject headings | 201301081242 |
| Level of effort used to assign classification | huda |
| -- | 201212101541 |
| -- | huda |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | UMP |
| 090 ## - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (RLIN) | |
| Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) | QA278 .H34 2012 rs Bc. |
| 100 0# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Hafiz Kamal Leang |
| 245 10 - TITLE STATEMENT | |
| Title | Data clustering using maximum dependency of attributes and its application to cluster agricultural products / |
| Statement of responsibility, etc. | Hafiz Kamal Leang |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | Kuantan, Pahang : |
| Name of publisher, distributor, etc. | UMP, |
| Date of publication, distribution, etc. | 2012 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | xi, 105 p. : |
| Other physical details | ill. (some col.) ; |
| Dimensions | 30 cm. + |
| Accompanying material | 1 CD-ROM |
| 502 ## - DISSERTATION NOTE | |
| Dissertation note | Project paper (Bachelor of Computer Science (Software Engineering)) -- Universiti Malaysia Pahang - 2012 |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE | |
| Bibliography, etc. note | Bibliography : p. 86-91 |
| 520 3# - SUMMARY, ETC. | |
| Summary, etc. | This project is about understanding the method of Clustering Data using Rough set Theory. The technique used is Maximum Dependency of attributes. The way this technique work is by calculating the degree of each attribute and selecting the highest dependency based on the degree. The highest degree of attribute will be chosen as the best attribute to be used to cluster the data. A system will be built by using Visual Basic (VB) that will implement this technique to cluster large data faster and easier. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Cluster analysis |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Data mining |
| Withdrawn status | Lost status | Damaged status | Not for loan | Home library | Current library | Date acquired | Total checkouts | Full call number | Barcode | Date last seen | Copy number | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Not lost | Not for loan | UMPLIB GAMBANG | UMPLIB GAMBANG | 04/09/2019 | QA278 .H34 2012 rs Bc. | 0000068745 | 04/09/2019 | 1 | 04/09/2019 | Final Year Report | |||
| Not lost | Not for loan | UMPLIB GAMBANG | UMPLIB GAMBANG | 04/09/2019 | CD 6554 | QA278 .H34 2012 rs Bc. | 0000068746 | 04/09/2019 | 1 | 04/09/2019 | Final Year Report |