# The Survey of Data Mining Applications And Feature Scope

**Authors:** Neelamadhab Padhy, Dr. Pragnyaban Mishra, Rasmita Panigrahi  
**arXiv:** [1211.5723](https://arxiv.org/abs/1211.5723)  
**Date:** 2012-11-25  
**Summary page:** https://www.summarizepaper.com/en/paper/1211.5723v1/

## Key points

- Data mining is crucial in today's business environment for multinational companies and large organizations operating across different countries.
- Data warehouses enhance managerial decision-making processes by providing access to large volumes of data from operational locations.
- Strategic information systems are essential for recognizing value beyond efficiency or speed in a competitive business landscape.
- The exponential growth of data in tera-to-peta-bytes has revolutionized science and engineering fields, necessitating advanced techniques like data mining for analysis, management, and decision-making.
- Data mining technologies have transformative potential in driving innovation and competitiveness in modern businesses.

## Summary

The paper titled "The Survey of Data Mining Applications And Feature Scope" by Neelamadhab Padhy, Dr. Pragnyaban Mishra, and Rasmita Panigrahi delves into the various techniques and approaches within the field of data mining technologies. The authors highlight the significance of data mining in today's business environment for multinational companies and large organizations operating across different countries. With each operational location generating large volumes of data, decision-makers require access to this information for effective strategic decision-making. The utilization of data warehouses adds significant business value by enhancing managerial decision-making processes. In a highly competitive and uncertain business landscape, strategic information systems play a crucial role in recognizing the value beyond just efficiency or speed. The exponential growth of data in tera-to-peta-bytes has revolutionized science and engineering fields, necessitating advanced techniques like data mining for analysis, management, and decision-making. The paper explores numerous applications of data mining across various industries and emphasizes its scope for further research. By shedding light on the importance of leveraging data mining technologies in extracting valuable insights from vast amounts of data, the authors provide a comprehensive overview that underscores the transformative potential of these tools in driving innovation and competitiveness in modern businesses.