Soft set approach for decision attribute selection in data clustering / (Record no. 5036)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 01821nam a2200265 a 4500 |
| 001 - CONTROL NUMBER | |
| control field | vtls000081662 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | KUKTEM |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20251117113227.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 140721t2013 my a f m 000 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | THE0001834(Local) |
| 039 #9 - LEVEL OF BIBLIOGRAPHIC CONTROL AND CODING DETAIL [OBSOLETE] | |
| Level of rules in bibliographic description | 201905131433 |
| Level of effort used to assign nonsubject heading access points | yusri |
| -- | 201407211137 |
| -- | Fida |
| 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) | QA76.76.D47 L65 2013 rs Bc. |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Lok Leh Leong |
| 245 10 - TITLE STATEMENT | |
| Title | Soft set approach for decision attribute selection in data clustering / |
| Statement of responsibility, etc. | Lok Leh Leong |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | Kuantan, Pahang : |
| Name of publisher, distributor, etc. | UMP, |
| Date of publication, distribution, etc. | 2013 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | xii, 73 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 - 2013 |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE | |
| Bibliography, etc. note | Bibliography : p.69-71 |
| 520 3# - SUMMARY, ETC. | |
| Summary, etc. | Clustering is one of the fundamental operations in data mining that cluster set of heterogeneous data objects into smaller homogeneous classes. Using clustering attribute (decision attribute) is one of the data clustering techniques. Soft set theory is a new mathematical tool applying in clustering applications in databases circumstances. Hence,the research aim is to find the practical technique of soft set theory for decision attribute selection in soft set theory. The test is been done by using two UCI benchmark datasets to determine the speed of execution time for soft set approach with rough set techniques, that are Total Roughness (TR), Min-Min Roughness (MMR) and Maximum Dependency of Attributes (MDA). The results show that the proposed technique provides faster decision for selecting a clustering attribute |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Computer software |
| General subdivision | Development |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Application software |
| General subdivision | Development |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Data clustering |
| 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 | CD 8312 | QA76.76.D47 L65 2013 rs Bc. | 0000087056 | 04/09/2019 | 1 | 04/09/2019 | Final Year Report | |||
| Not lost | Not for loan | UMPLIB PEKAN | UMPLIB PEKAN | 04/09/2019 | QA76.76.D47 L65 2013 rs Bc. | 0000087055 | 04/09/2019 | 1 | 04/09/2019 | Final Year Report |