Acta Scientific Computer Sciences

Short Communication Volume 3 Issue 11

Augmenting the Efficiency of Text Mining for Improving Business Intelligence

V Mahalakshmi1* and Awatef Balobaid2

1Assistant Professor, Department of Computer Science, College of Computer Science and Information Technology, Jazan University, Jazan, Saudi Arabia
2Assistant Professor, Department of Computer Science, College of Computer Science and Information Technology, Jazan University, Jazan, Saudi Arabia

*Corresponding Author: V Mahalakshmi, Assistant Professor, Department of Computer Science, College of Computer Science and Information Technology, Jazan University, Jazan, Saudi Arabia.

Received: October 04, 2021; Published: October 18, 2021

Hovering on an urbane technological world, the business house’s strategies and promotions have changed dramatically in the recent years since the importance of data i­n their business plays a pivotal role in almost all of their business activities. Today computer has become a part and parcel of human life and the colossal volume of data available across the globe provides a helping hand to discover useful meaningful information to enhance the business in various activities related to decision making and decision support. Hence the need for an efficient data mining tool or model is imperative for every business organization. To accomplish this, countless techniques have been emerged and utilized. The advent of many new smart technologies has compelled the world to go digital.

Bibliography

  1. Jayaraj V and Mahalakshmi V. “Augmenting Efficiency of Recruitment Process using IRCF text mining Algorithm”. Indian Journal of Science and Technology16 (2015).
  2. Vijayasekar Mahalakshmi. “Information Retrieval a Boon for Modern Technology-Present and Future Perspective”. Acta Scientific Computer Sciences11 (2020): 01
  3. V Jayaraj and V Mahalakshmi. “Text Mining Template Based Algorithm for Text Categorization for Improving Business Intelligence”. International Journal of Emerging Technologies in Computational and Applied Sciences (IJETCAS) 4 (2014): 2279-0055.
  4. Jayaraj V and V Mahalakshmi. "Information Retrieval Configuration File Text Categorization Algorithm for Improving Business Intelligence”. International Journal Of Computational Engineering And Management (IJCEM) (2015): 2230-7893.

Citation

Citation: V Mahalakshmi and Awatef Balobaid. “Augmenting the Efficiency of Text Mining for Improving Business Intelligence". Acta Scientific Computer Sciences 3.11 (2021): 24-25.

Copyright

Copyright: © 2021 V Mahalakshmi and Awatef Balobaid. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.




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