A new MapReduce solution for associative classification to handle scalability and skewness in vertical data structure

Volume: 103, Pages: 44 - 57
Published: Feb 1, 2020
Abstract
null null Associative classification is a promising methodology in information mining that uses the association rule discovery procedures to build the classifier. But they have some limitations like: they are not able to handle big data as they have memory constraints, high time complexity, load imbalance and data skewness. Data skewness occurs invariably when big data analytics comes in picture and affects the efficiency of an approach. This...
Paper Details
Title
A new MapReduce solution for associative classification to handle scalability and skewness in vertical data structure
Published Date
Feb 1, 2020
Volume
103
Pages
44 - 57
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