Knowledge Discovery & How Important It Has Become to Our Digital World
Without knowledge discovery, innovation and new ideas would be a lot more cumbersome and we would be spending a lot of time trying to find ways that this information could help us rather than being able to quickly decipher and start moving forward. It’s no surprise nor secret that knowledge discovery is something that is constantly being worked on, improved, and used daily to extract little nuggets of information and data that can be used to push forward many ideologies and business tools that are out in the world today.
There are several knowledge discovery tools out in the world today, and they are used commonly around several companies to help develop new methods, discover new techniques and ideas, and continue to refine existing or up and coming ideologies. One of these such ideologies is the concept of building on Artificial Intelligence (AI) and using it across several different fields of work. In Kiarashinejad’s article, the group of authors are using the concepts of knowledge discovery and data mining to help utilize AI into helping facilitate “the understanding of the underlying physics of EM nanostructures as well as forming a more systematic approach in designing such nanostructures” (Kiarashinejad et al., 2020). This one article is just small touch on the vast amounts of work that is being done with knowledge discovery and AI, and there are certainly more amazing and exciting things happening and innovating at this very second.
One of the most common tools that is almost symbiotic with knowledge discovery is data mining. Data mining is the simple concept of extracting and discovering patterns in huge clusters of data (which in a way sounds really close to the concept and definition of knowledge discovery). Because of how relatively similar it is considered to each other, its no surprise to see how often it is utilized and applied to discover new and innovative things in the world around us. Some of the things people are doing with data mining is incredible, such as Opara et al as they continue to discover new ways to use this data to improve academic performance in students of higher learning by working on creating and curating “a hybrid model to mine students’ academic performance for decision making purposes using k-means and k-representative clustering algorithm…” (Opara et al., 2020). The academic world could easily utilize a lot of this to help come up with programs, sessions, and ideas to help students continue to grow their academic performance. Another really interesting concept of data mining and knowledge discovery that I read about involves the digital world and streaming data. I’ve always been a huge fan of streaming services (video, data, cloud computing etc.) so it was honestly quite a fun read from Stahl & Badii as they go through examples of data mining techniques that has been used to help build adaptive data models for streaming data in real time. The concepts that they go across involve how companies and ideas have been built from adapting and building data mining models from existing data streams and algorithms to help push this forward. (Stahl & Badii, 2020). Its honestly astonishing to see and in a way, exciting to see how much progress has been made in the knowledge discovery world, and it’s going to be a fun ride seeing where it goes to next.
References
Kiarashinejad, Y., Zandehshahvar, M., Abdollahramezani, S., Hemmatyar, O., Pourabolghasem, R., & Adibi, A. (2020). Knowledge discovery in nanophotonics using geometric deep learning. Advanced Intelligent Systems, 2(2), 1900132.
Opara, C. C., Eze, U. F., & Oleji, C. P. (2020). Hybrid Data Mining Model for Knowledge Discovery on Students Academic Performance. Hybrid Data Mining Model for Knowledge Discovery on Students Academic Performance, 47(1), 9–9.
Stahl, F., & Badii, A. (2020). Building adaptive data mining models on streaming data in real-time. Expert Update, 20(2).