An Improved SPRINT Algorithm
2012 ◽
Vol 532-533
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pp. 1685-1690
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Keyword(s):
This paper presents an improved SPRINT algorithm. The original SPRINT algorithm is a scalable and parallelizable decision tree algorithm, which is a popular algorithm in data mining and machine learning communities. To improve the algorithm's efficiency, we propose an improved algorithm. Firstly, we select the splitting attributes and obtain the best splitting attribute from them by computing the information gain ratio of each attribute. After that, we calculate the best splitting point of the best splitting attribute. Since it avoids a lot of calculations of other attributes, the improved algorithm can effectively reduce the computation.
Keyword(s):
2014 ◽
Vol 962-965
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pp. 2842-2847
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2011 ◽
Vol 267
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pp. 732-737
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Keyword(s):
2019 ◽
Vol 8
(11)
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pp. 1539-1548
2014 ◽
Vol 538
◽
pp. 460-464
Keyword(s):
2019 ◽
Vol 146
(3)
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pp. 761-765
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2018 ◽
Vol 8
(3)
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pp. 980
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2016 ◽
Vol 13
(10)
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pp. 7519-7525
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