Data Mining and the Associated Social Benefits Antara Titikhsha Barua, Sharika Tasnim, Zulfikar Alom, Zeyar Aung, and Mohammad Abdul Azim Abstract Several sectors in our society have employed technical analytics, but now healthcare and the economy are more interested in Artificial Intelligence. A big “running start” for that choice has been data mining. This article focuses on the architecture of data mining in healthcare and the economy. The attention to the study consists of (i) stately changes in the health sector, (ii) the methods and applications of data mining rooted deep in the various industries, and (iii) the approaches and developments of data mining in the aforesaid fields. Keywords Data mining · Machine learning · Healthcare 1 Introduction The word “mining” is used for its original meaning of extracting valuables, whereas, in computer science, the valuables are digital information. Until the 1980s, scientists referred to the word “data fishing” to resemble the same ideas of “data mining” for the present day. Regardless of word choice, the meaning encompassed with the words is still similar, extracting, discovering, and learning patterns from an extensive data system. It is surprising to witness the progress of data mining in the last thirty years. A. T. Barua (B ) · S. Tasnim · Z. Alom · M. A. Azim Department of Computer Science, Asian University for Women, Chattogram, Bangladesh e-mail: antara.barua@auw.edu.bd S. Tasnim e-mail: sharika.tasnim@auw.edu.bd Z. Alom e-mail: zulfikar.alom@auw.edu.bd M. A. Azim e-mail: azim@ieee.org Z. Aung Department of Electrical Engineering and Computer Science, Khalifa University, Abu Dhabi, United Arab Emirates e-mail: zeyar.aung@ku.ac.ae © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2022 V. Goyal et al. (eds.), Proceedings of International Conference on Communication and Artificial Intelligence, Lecture Notes in Networks and Systems 435, https://doi.org/10.1007/978-981-19-0976-4_52 623