Recent developments in processing, storing, and sharing huge amount of data become problem due to the lack of new approaches, techniques, methods, algorithms and technologies. Researchers try to find proper solutions based on their experiences and make contributions to current data mining and classification knowledge. This approach actually causes new set of problems due to the missing theoretical notions, lack of necessary disciplines and insufficient awareness on data security, information retrieval, social networking within behavioral and social and ethical issues. This special session seeks solutions on interdisciplinary gaps between data and intelligent approaches.

The AI & ML fields are interdisciplinary, including computer science, mathematics, psychology, linguistics, philosophy and neuroscience. There is no software or hardware available to solve problems like human's do. Researchers only make assumptions to replicate biological architectures. So, the brain is capable of change and recognizes experiences. Every day, there are more than 7 billion people works for processing limitless number of data like a single computer through sophisticated cloud networks. Each brain has own big data warehouse and biological CPU.

Nowadays, researchers use interdisciplinary way to understand knowledge among all types of resource including data, document, tool, device, experience, process and people. This approach may help to understand biological evolution to propose robust and powerful approaches between human nature and big data processing.

Intelligent Data Mining term is not only related to Computer Science. This special session opens to every researcher as well as industrial partners to make contribution.