Entropy based greedy unsupervised feature selection method using rough set theory for classification (Record no. 19039)
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| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20230327090634.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 230327b xxu||||| |||| 00| 0 eng d |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | AIKTC-KRRC |
| Transcribing agency | AIKTC-KRRC |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| 9 (RLIN) | 20266 |
| Author | Bania, Rubul Kumar |
| 245 ## - TITLE STATEMENT | |
| Title | Entropy based greedy unsupervised feature selection method using rough set theory for classification |
| 250 ## - EDITION STATEMENT | |
| Volume, Issue number | Vol.13(1), Oct |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | Chennai |
| Name of publisher, distributor, etc. | ICT Academy |
| Year | 2022 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Pagination | 2741-2749p. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | Feature selection technique attempts to select and remove irrelevant<br/>features while ensuring that an informative subset of features remains<br/>in the dataset. The performance of a classifier often depends on the<br/>feature subset used for the robust classification task. In the medical and<br/>healthcare application domain, classification accuracy plays a vital<br/>role. The higher level of false negatives in medical diagnosis systems<br/>may raise the risk of patients not employing the necessary treatment<br/>they need. In this article, we have proposed an unsupervised feature<br/>selection method that underlines the concepts of rough set theory for<br/>the task of classification of high-dimensional datasets. Experiments are<br/>carried out on seven public domain healthcare and life science related<br/>datasets. The obtained experimental results justify the significance of<br/>the proposed method over five other state-of-the-art feature selection<br/>methods. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| 9 (RLIN) | 4622 |
| Topical term or geographic name entry element | Computer Engineering |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| 9 (RLIN) | 20267 |
| Co-Author | Sarmah, Satyajit |
| 773 0# - HOST ITEM ENTRY | |
| Title | ICTACT Journal on Soft Computing (IJSC) |
| Place, publisher, and date of publication | Chennai ICT Academy |
| 856 ## - ELECTRONIC LOCATION AND ACCESS | |
| URL | https://ictactjournals.in/paper/IJSC_Vol_13_Iss_1_Paper_1_2741_2749.pdf |
| Link text | Click here |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Dewey Decimal Classification |
| Koha item type | Articles Abstract Database |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Home library | Current library | Shelving location | Date acquired | Total Checkouts | Barcode | Date last seen | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dewey Decimal Classification | School of Engineering & Technology | School of Engineering & Technology | Archieval Section | 27/03/2023 | 2023-0510 | 27/03/2023 | 27/03/2023 | Articles Abstract Database |