Please use this identifier to cite or link to this item:
http://localhost:8080/xmlui/handle/123456789/3638Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Singh, Sneha | - |
| dc.contributor.author | Kaur, Sandeep | - |
| dc.date.accessioned | 2019-07-04T05:29:40Z | - |
| dc.date.available | 2019-07-04T05:29:40Z | - |
| dc.date.issued | 2015-05 | - |
| dc.identifier.uri | http://localhost:8080/xmlui/handle/123456789/3638 | - |
| dc.language.iso | en | en_US |
| dc.publisher | Lovely Professional University | en_US |
| dc.subject | Computer Science and Engineering | en_US |
| dc.title | E-mail Spam Classification using PCA-SVM and PCA- Hybrid of SVM RBF with Adaboost | en_US |
| dc.type | Thesis | en_US |
| Appears in Collections: | Computer Science and Engineering (CSE) | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 11307124_5_4_2015 3_32_14 PM_ReportFULL.pdf | 617.29 kB | Adobe PDF | View/Open |
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