Report on Data Mining Techniques in Intelligent Systems (MITS5509)

This report analyzes a research paper on business intelligence using data mining techniques and business analytics. The study explores the application of data mining techniques within intelligent systems, focusing on descriptive and predictive methods. The research employs qualitative research design, a research strategy, secondary data gathering, and descriptive content analysis to examine how business intelligence can effectively manage data and address challenges faced by companies. The findings highlight the importance of data mining techniques for handling large datasets to improve business outcomes. The conclusion emphasizes the effectiveness of data mining and business intelligence in modern organizations. This report provides an in-depth review of the research methods and findings, emphasizing the practical applications of data mining in intelligent systems.

DATA MINING
TECHNIQUES WITH IS
Article: Business Intelligence using
Data Mining Techniques and
Business Analytics

Introduction
 The key goal of this investigation is to
evaluate key features of intelligent system
and analyze a journal article based on the
intelligent system.
 The selected paper for this study is “Business
Intelligence using Data Mining techniques
and Business Analytics” [2].
 This presentation will include various sections
such as intention and content of the paper,
research methods, problems highlighted by
the researchers and results of the study.

Intention of the paper
 This paper is based on the intelligent system in
which the authors examined the business
intelligence processes used in the data mining
techniques.
 In this article, the author reviewed and
evaluated data mining techniques and
applications along with the intelligent systems
[1].
 The authors examined that data mining
techniques used in the intelligent systems are
classified into two parts, for example,
description method and prediction techniques

Research methods
 It is identified that there are numerous
research methods used by the
researchers which are highlighted below:
 Qualitative research design
 Research strategy
 Secondary data gathering technique
 Descriptive content analysis

Key findings and results
 It is found that business intelligence is able to
control and manage the collected data in an
effective manner and reduce problems faced
by the companies.
 The authors identified that the concept of data
mining technique can be used for dealing with
the huge amount of data in order to obtain
effective results in the workplace.
 This proposed study critically reviewed
business analytics and data mining techniques
and business intelligence

Conclusion
 It is concluded that data mining and
business intelligence both are effective
techniques used in the companies.
 The selected paper provided in-depth
analysis of data mining techniques with
intelligent systems.
 This proposed research reviewed and
evaluated the findings and research
methods used by the researchers.

References
1. S., Cheng, Q. Zhang and, Q., Qin, “Big data
analytics with swarm
intelligence,” Industrial Management & Data
Systems, vol. 116, no. 4, pp.646-666, 2016.
2. B.K., Mishra, D., Hazra, K. Tarannum and, M.,
Kumar, “Business intelligence using data
mining techniques and business analytics,”
In 2016 International Conference System
Modeling & Advancement in Research
Trends (SMART), vol. 12, no. 7, pp. 84-89,
2016