Vlsi Implementation Of Flexible Architecture For Decision Tree Classification In Data Mining

被引：1

作者：

Sharma, K. Venkatesh ^{[1
]}

Shewandagn, Behailu ^{[1
]}

Bhukya, Shankar Nayak ^{[2
]}

机构：

[1] Jimma Univ, Jimma Inst Technol, Sch Comp, Jimma, Ethiopia

[2] SVIT, Hyderabad, Andhra Pradesh, India

来源：

INTERNATIONAL CONFERENCE ON FUNCTIONAL MATERIALS, CHARACTERIZATION, SOLID STATE PHYSICS, POWER, THERMAL AND COMBUSTION ENERGY (FCSPTC-2017) | 2017年 / 1859卷

关键词：

Data mining; Decision tree classification; c4.5; algorithm;

D O I：

10.1063/1.4990245

中图分类号：

O59 [应用物理学];

学科分类号：

摘要：

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.

引用

页数：8

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