A Bayes Classifier-Based OVFDT Algorithm for Massive Stream Data Mining on Big Data Platform

Li, Liangde; Li, Peng; Xu, He; Chen, Fangzhou

doi:10.1007/978-3-319-61566-0_49

Cited by 2 publications

(1 citation statement)

References 23 publications

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“…Comparison of attribute values is done on the internal nodes of the decision tree. Branches downing from a node is judged according to different attribute values, and conclusions can be derived in the leaf node of the decision tree [13][14][15]. So, a path from the root node to the leaf node corresponds to a rule, and the entire decision tree corresponds to a set of expression rules.…”

Section: Classification Algorithm Of Cart Decision Treementioning

confidence: 99%

A Classification Algorithm of CART Decision Tree based on MapReduce Attribute Weights

Zhu¹

2018

IJPE

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A CART decision tree algorithm based on attribute weight is proposed in this paper because of the present problems of complex classification, poor accuracy, low efficiency, and severe memory consumption of CART decision. What is more, the algorithm is combined with the parallel computing model of MapReduce. Theory of attribute weights is used in the algorithm. A decision tree is built through the sum of weights, which is decided by the degree that the attributes affect a decision. Thus the accuracy of classification through decision tree is improved. Parallel sorting algorithms of CART decision tree for massive data is implemented through the MapReduce programming technology of cloud computing. All the results of theoretical analysis and experimental comparison show that it is very important to mark attributes by weights through MapReduce. Furthermore, the accuracy of the classification of large sample data sets is improved significantly, classification efficiency of decision tree is improved and the trained time is also significantly reduced.

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Section: Classification Algorithm Of Cart Decision Treementioning

confidence: 99%

A Classification Algorithm of CART Decision Tree based on MapReduce Attribute Weights

Zhu¹

2018

IJPE

View full text Add to dashboard Cite

show abstract

A Survey on Streaming Data Analytics: Research Issues, Algorithms, Evaluation Metrics, and Platforms

Sujatha

Jayanthi

2021

Proceedings of International Conference on Big Data, Machine Learning and Applications

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A Bayes Classifier-Based OVFDT Algorithm for Massive Stream Data Mining on Big Data Platform

Cited by 2 publications

References 23 publications

A Classification Algorithm of CART Decision Tree based on MapReduce Attribute Weights

A Classification Algorithm of CART Decision Tree based on MapReduce Attribute Weights

A Survey on Streaming Data Analytics: Research Issues, Algorithms, Evaluation Metrics, and Platforms

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