Vlsi implementation of flexible architecture for decision tree classification in data mining
K. Venkatesh Sharma, Behailu Shewandagn, Shankar Nayak Bhukya · AIP conference proceedings · 2017
The Data mining algorithms have become vital to researchers in science, engineering, medicine, business, search and security domains. In recent years, there has been a terrific raise in the size of the data being collected and analyzed. Classification is the main difficulty faced in data mining. In a number of the solutions developed for this problem, most accepted one is Decision Tree Classification (DTC) that gives high precision while handling very large amount of data. This paper presents VLSI implementation of flexible architecture for Decision Tree classification in data mining using c4.5 algorithm.