AN UNSUPERVISED HEADER INDEPENDENT APPROACH TOWARDS SUBJECT COLUMN DETECTION IN TABLES
Subject columns are the important columns that help infer the correct subject matter of the table. The main challenging problem is detecting appropriate subject columns in tables with more than the same. Existing approaches restricted to identification of only one subject column in tables with more...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
ICT Academy of Tamil Nadu
2018-07-01
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| Series: | ICTACT Journal on Soft Computing |
| Subjects: | |
| Online Access: | http://ictactjournals.in/ArticleDetails.aspx?id=3516 |