Prof. Dr. M. Shaheen Khan Tanoli
Foundation University, Rawalpindi
Short Bio: His research work is focused on Big data analytics and artificial intelligence, having dedicated his life to pushing the boundaries of knowledge through rigorous research, innovative teaching methodologies, and impactful academic publications. He established Directorate of Energy Information & Futuristic at National Energy Efficiency & Conservation Authority (NEECA), Government of Pakistan. He has more than 21 years of Teaching, Industrial, Research & Development Experience in the fields of data mining, industrial automations and remote sensing. The impact of his research is evident in the numerous citations and grants received, as well as the transformative effect on the academic community at large.
Keynote Topic: Wisdom Mining: A new Perspective
This is the data world. The huge volume of data offers potentially, unprecedented opportunities to gain valuable insights. Data mining and big data contributed enough to extract trivial and hidden knowledge from big data. It is now the time to enter the emerging field of & “Wisdom Mining”- a cutting-edge discipline that seeks to harness advanced data analytics and artificial intelligence. Techniques to excavate profound wisdom and knowledge from complex data landscapes. This keynote talk at the “Wisdom Mining”; conference will explore the multifaceted dimensions of this exciting discipline. Attendees will embark on a journey through the fundamental principles, methodologies, and real-world applications of wisdom mining. The keynote will showcase how wisdom mining surpasses traditional data mining by focusing on the extraction of actionable wisdom rather than overwhelming raw data.
The keynote speaker, a distinguished expert in wisdom mining, will share fascinating case studies from diverse fields where this approach has led to transformative discoveries. Attendees will gain valuable insights into how wisdom mining has been utilized in fields such as healthcare, finance, climate science, and social sciences.
The attendees are recommended to read the following before attending the talk.
- From Data Mining to Wisdom Mining
https://journals.sagepub.com/doi/epub/10.1177/01655515211030872
- Wisdom Mining: Future of Data Mining
https://benthamscience.com/article/121916
- WisRule: First cognitive algorithm of wise association rule mining
https://journals.sagepub.com/doi/abs/10.1177/01655515221108695?journalCode=jisb