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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.

征稿信息

征稿范围

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

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重要日期
  • 会议日期

    12月11日

    2017

    12月14日

    2017

  • 12月14日 2017

    注册截止日期

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