000 | a | ||
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999 |
_c9732 _d9732 |
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003 | OSt | ||
005 | 20191016145145.0 | ||
008 | 191016b xxu||||| |||| 00| 0 eng d | ||
040 |
_aAIKTC-KRRC _cAIKTC-KRRC |
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100 |
_99898 _aRajesh B. |
||
245 | _aImproving the Performance of KNN Classification Algorithms by Using Apache Spark | ||
250 | _aVol.4(2), July-Dec | ||
260 |
_aTamil Nadu _bi-manager's _c2017 |
||
300 | _a23-32p. | ||
520 | _aData mining and machine learning are the most interesting research areas which find meaningful information from the large amount of data available, and converts into understandable form for further use. Diabetes is one of the growing diseases all over the world. Health trade professionals desire a reliable prediction system to diagnose polygenic disease. Tools and techniques available will be used to find the appropriate approaches and methods for classification of diabetes and in extracting valuable pattern. The Spark software was employed as a mining tool for diagnosing diabetes. Thus, using the spark, the performance of KNN Classification can be improved. | ||
650 | 0 |
_94622 _aComputer Engineering |
|
700 |
_99899 _aSrinivasulu, Asadi |
||
773 | 0 |
_ti-manager's journal on cloud computing (JCC) _dNagercoil i-manager Publication _x 2349-6835 |
|
856 |
_uhttps://www.imanagerpublications.com/article/14382/23 _yClick here |
||
942 |
_2ddc _cAR |