Rough set based clustering for finding relevant document / (Record no. 4630)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 01929nam a2200265 a 4500 |
| 001 - CONTROL NUMBER | |
| control field | vtls000077203 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | KUKTEM |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20251114204604.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 140403t2013 my a f m 000 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | THE0001971(Local) |
| 039 #9 - LEVEL OF BIBLIOGRAPHIC CONTROL AND CODING DETAIL [OBSOLETE] | |
| Level of rules in bibliographic description | 201905131548 |
| Level of effort used to assign nonsubject heading access points | yusri |
| -- | 201404031355 |
| -- | 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) | QA76.9.F5 N43 2013 rs Bc. |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Ng Choon Ching |
| 245 10 - TITLE STATEMENT | |
| Title | Rough set based clustering for finding relevant document / |
| Statement of responsibility, etc. | Ng Choon Ching |
| 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 | x, 52 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. 51-52 |
| 520 3# - SUMMARY, ETC. | |
| Summary, etc. | Searching for relevant documents based on the keywords of particular selected articles are proposed in this thesis. This method is proposed to help user get relevant document based on the articles they selected. The common searching engine will return up to thousand articles where some articles are not really relevant to the searching too. In this paper, rough set-based data mining technique is employed to enhance the result of searching relevant documents. The rough set-based clustering technique, namely MinMin Roughness (MMR) is applied to cluster documents from Wikipedia into groups according to keywords of selected articles in the effort for finding relevant documents. This research is done using dataset of articles from online Wikipedia website. The proposed keywords methods for finding relevant documents will save time during searching progress. This research is expected to be useful for finding relevant documents. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | File organization (Computer science) |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Document clustering |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Application software |
| General subdivision | Development |
| 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 7602 | QA76.9.F5 N43 2013 rs Bc. | 0000078847 | 04/09/2019 | 1 | 04/09/2019 | Final Year Report | |||
| Not lost | Not for loan | UMPLIB PEKAN | UMPLIB PEKAN | 04/09/2019 | QA76.9.F5 N43 2013 rs Bc. | 0000078846 | 04/09/2019 | 1 | 04/09/2019 | Final Year Report |