Multi Agent Driven Data Mining For Knowledge Discovery in Cloud Computing

TL;DR

This paper explores the integration of multi-agent systems with data mining and OLAP techniques to extract useful knowledge from large web data in cloud computing, demonstrated through an online shopping case study.

Contribution

It introduces a novel approach combining multi-agent systems with data mining and OLAP for knowledge discovery in cloud environments, illustrated by a practical case study.

Findings

Potential to increase sales through data-driven insights

Effective knowledge extraction from cloud data sources

Demonstrated application in online shopping scenario

Abstract

Today, huge amount of data is available on the web. Now there is a need to convert that data in knowledge which can be useful for different purposes. This paper depicts the use of data mining process, OLAP with the combination of multi agent system to find the knowledge from data in cloud computing. For this, I am also trying to explain one case study of online shopping of one Bakery Shop. May be we can increase the sale of items by using the model, which I am trying to represent.