After the successes of the first and the second editions of Special Session on Intelligent Data Mining in Santa Clara, CA (2015), Washington, DC (2016) and the third Special Session on Intelligent Data Mining in Boston, MA will continue promoting and disseminating the knowledge concerning several topics and technologies related to data mining science.
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 interdisciplinary special session seeks scientific understanding on data and intelligent approaches.
Artificial Intelligence (AI) & Machine Learning (ML) fields are interdisciplinary, including computer science, mathematics, psychology, linguistics, philosophy, neuroscience etc. Nowadays, researchers use new interdisciplinary approaches to understand knowledge among all types of resource including data, document, tool, device, experience, process, people etc. Those approaches may help to understand biological evolution to propose robust and powerful schemes between human nature and big data processing.
Intelligent Data Mining is not only related to Computer Science or Engineering. This special session open to every researcher as well as industrial partners.
Use of Artificial Intelligence | Machine Learning in Data Mining as:
Data Mining Data Science and Big Data
Data Warehouse Clustering Visualization
Security Privacy
Big DaaS
Scalable Computing Cloud Computing
Knowledge Discovery Integration Transformation
Information Retrieval
Data Classification Regression Cleaning
Smart Cities & Energy
Social Media Social Networking Social Data
Semantic
IoT
Multimedia
Mobile Computing
Sensors Networks Devices
Mathematics
Psychology
Linguistics
Philosophy
Neuroscience
Biometric
Sustainability
Human Biology
Bioinformatics
Cognitive Science
Surveillance
Business Intelligence
Recent Theory Trends Technologies and Applications
Future Directions and Challenges in Intelligent Data Mining
Industrial Challenges in Intelligent Data Mining
HPCC
Hadoop
Demo Applications
12月11日
2017
12月14日
2017
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