Divers Principles, Algorithm & An Approach To Data Mining: A Comparative View

Abstract

Purpose: This paper proposes associate rule for data mining referred to as Ant-Miner (ant- colony-based information miner).
Design/Methodology/Approach: This study compares the classification of algorithm accuracies, speed (CPU time consumed) and robustness for various datasets and their implementation techniques.
Findings: The goal of Ant-Miner is to extract classification rules from the information. The rule is impressed by each kind of analysis on the behavior of real Emmet colonies and a few processing ideas additionally as principles. Classification is also an important topic in data mining analysis. Given a bunch of knowledge records, every of that belongs to a minimum of 1 amongst many predefined categories, the categorization downside cares with the invention of classification rules which is ready to allow records with unknown class membership to be properly classified. Several algorithms are developed to mine giant information sets for classification models which they’re effective. However, once it involves deciding the possibility of every classification created, several of them aren’t designed with such purpose in mind.