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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016 open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15 |
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| Paper Title: | Using Textual and Binary Formats for Storing Data in R-Programming |
| Authors Name: | N.V.Neeraja , V.Rajyalakshmi , D.Sowjanya , B.Rajesh |
| Unique Id: | IJSDR1812038 |
| Published In: | Volume 3 Issue 11, December-2018 |
| Abstract: | The aim of this study is to develop an answer for text mining scientific articles exploitation the R language within the “Knowledge Extraction and Machine Learning” course. Automatic text outline of papers could be a difficult downside whose approach would permit researchers to browse massive article collections and quickly read highlights and drill down for details. In proposed system, there are a variety of ways that data can be stored, including structured text files like CSV or tabdelimited, or more complex binary formats. However, there's associate degree intermediate format that's matter, but not as simple as something like CSV. The format is native to R and is somewhat legible as a result ofits matter nature. One will produce a additional descriptive illustration of associate degree R object by exploitation the dput() or dump() functions. The dump() and dput() functions are useful because the resulting textual format is editable, and in the case of corruption, potentially recoverable. By using dump() and dput(), we can easily mine the text. Unlike writing out a table or CSV file, dump() and dput() preserve the information (sacrificing some readability), so another user doesn’t got to specify it everywhere once more. |
| Keywords: | CSV, Knowledge Extraction, Machine Learning, Text Mining |
| Cite Article: | "Using Textual and Binary Formats for Storing Data in R-Programming", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.3, Issue 11, page no.237 - 240, December-2018, Available :http://www.ijsdr.org/papers/IJSDR1812038.pdf |
| Downloads: | 000337070 |
| Publication Details: | Published Paper ID: IJSDR1812038 Registration ID:180911 Published In: Volume 3 Issue 11, December-2018 DOI (Digital Object Identifier): Page No: 237 - 240 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
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