A framework: Cluster detection and multidimensional visualization of automated data mining using intelligent agents

TL;DR

This paper proposes a generalized framework utilizing intelligent agents for cluster detection and multidimensional visualization in data mining, aimed at non-domain experts for improved understanding and decision-making.

Contribution

It introduces a novel framework that incorporates user profiles and intelligent agents to enhance data mining processes for non-experts.

Findings

Effective cluster detection and visualization for non-experts

Improved decision-making through personalized data mining

Enhanced pattern discovery using intelligent agents

Abstract

Data Mining techniques plays a vital role like extraction of required knowledge, finding unsuspected information to make strategic decision in a novel way which in term understandable by domain experts. A generalized frame work is proposed by considering non - domain experts during mining process for better understanding, making better decision and better finding new patters in case of selecting suitable data mining techniques based on the user profile by means of intelligent agents. KEYWORDS: Data Mining Techniques, Intelligent Agents, User Profile, Multidimensional Visualization, Knowledge Discovery.