Automatic Field Identification for Tabular Data without Headers |
Author(s): |
| Venkat Giridhar Mareedu , MVSR Engineering College; Keerthi Kant Raghunathan, Osmania University |
Keywords: |
| Big Data, Data Mining, SAS, Artificial Intelligence, Clustering |
Abstract |
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finding useful patterns from large sets of data has brought new possibilities and insights which are unnoticeable to the human eye. But this is all possible only when we know what data it is i.e., when we have information about the metadata of the database under consideration. This paper aims to automatically identify table headers and their datatypes without any human intervention. Upon identification, this paper also implements a strategy to automatically import the data into a big data tool, SAS, to conduct further data analytics. These strategies are perfectly consistent even with a table with headers as it saves the time of the user who would otherwise manually map the fields. |
Other Details |
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Paper ID: IJSRDV5I80359 Published in: Volume : 5, Issue : 8 Publication Date: 01/11/2017 Page(s): 378-380 |
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