MARC details
| 000 -LEADER |
|---|
| fixed length control field |
01867nam a2200253 a 4500 |
| 001 - CONTROL NUMBER |
|---|
| control field |
vtls000067645 |
| 003 - CONTROL NUMBER IDENTIFIER |
|---|
| control field |
KUKTEM |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20251114204524.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
121211t2012 my da f m 000 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
THE0002016(Local) |
| 039 #9 - LEVEL OF BIBLIOGRAPHIC CONTROL AND CODING DETAIL [OBSOLETE] |
|---|
| Level of rules in bibliographic description |
201905131605 |
| Level of effort used to assign nonsubject heading access points |
yusri |
| Level of effort used to assign subject headings |
201301081435 |
| Level of effort used to assign classification |
huda |
| -- |
201212111651 |
| -- |
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 .R53 2012 rs Bc. |
| 100 0# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Mohd Ridzuan Baharin |
| 245 10 - TITLE STATEMENT |
|---|
| Title |
Data clustering using min-min roughness and its application to cluster patients suspected diabetics / |
| Statement of responsibility, etc. |
Mohd Ridzuan Baharin |
| 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 |
102 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 |
Includes bibliographical references |
| 520 3# - SUMMARY, ETC. |
|---|
| Summary, etc. |
In the context of information technology nowadays, there are many data exists. All of this data are scrambled over inside the computer and with the presence of internet, even more data exist. The problem with this is, when we want the needed data only, there are too many to look for and they are all scrambled over the internet databases. Therefore, there are techniques that are proposed that will provide a way to automatically mine the data and obtain only meaningful data from the huge data over the internet. The area discussed in this research is Knowledge Discovery in Databases (KDD) and the technique used is Minimum-Minimum Roughness (MMR). The dataset used will be the dataset of diabetic patients. By using this MMR technique, I intended to cluster the diabetic dataset n which each cluster will contain the data most related to each other. |
| 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 |
Cluster analysis |
| General subdivision |
Data processing |