●2023 6th International Conference on Data Mining and Knowledge Discovery(DMKD 2023)-- Ei Compendex & Scopus—Call for papers  

June 24-26, 2023 ｜Chongqing China｜Website: www.icdmkd.org    

• DMKD 2023 provides researchers and industry experts with one of the best platforms to meet and discuss groundbreaking research and innovations in the field of Data Mining and Knowledge Discovery. 

International invited speakers are invited to present their state-of-the-art work on various aspects, which will highlight important and developing areas.

●Publication and Indexing

All accepted papers will be published in the digital conference proceedings which will be sent to be Indexed by  all major citation databases such as Ei Compendex (Engineering Village), CPCI, Chemical Abstracts Service (CAS), Conference Proceedings Citation Index (Web of Science), DOAJ, EBSCO (EBSCO Discovery Service), Google Scholar, Inspec, Polymer Library, Scopus, Materials Science & Engineering Database (ProQuest), SciTech Premium Collection (ProQuest), Technology Collection (ProQuest), etc. 

A selection of papers will be recommended to be published in international journals.

★Keynote SpeakersProfessor Yu-wang Chen——University of Manchester, UK【Speech Title】: Data, Knowledge and Decision Analytics

【Abstract】: Decision analytics allow individuals and organizations to transform data and aggregate knowledge to support informed decision making. However, real-world decision making problems are often characterized by multiple sources of data and different types of complex information. In this talk, I will briefly introduce my research on decision analytics in the context of data and uncertain knowledge, and illustrative examples will be used from the fields of both engineering and management.

Professor Philippe Fournier-Viger——Shenzhen University, China【Speech Title】: Advances and challenges for the automatic discovery of interesting patterns in data

【Abstract】: Intelligent systems and tools can play an important role in various domains such as for factory automation, e-business, and manufacturing. To build intelligent systems and tools, high-quality data is generally required. Moreover, these systems need to process complex data and can yield large amounts of data such usage logs, images, videos, and data collected from industrial sensors. Managing the data to gain insights and improve these systems is thus a key challenge. It is also desirable to be able to extract information or models from data that are easily understandable by humans. Based on these objectives, this talk will discuss the use of data mining algorithms for discovering interesting and useful patterns in data generated from intelligent systems and other applications.

●Program Preview/ Program at a glance

June 24, 2023: Registration + Icebreaker Reception

June 25, 2023: Opening Ceremony+ KN Speech+ Technical Sessions

June 26, 2023: Technical Sessions+ Half day tour/Lab tours

●Paper Submission

1. Submit Via CMT: https://cmt3.research.microsoft.com/DMKD2023

2. Submit Via email directly to: inquiry@icdmkd.org

●CONTACT US

Ms. Rita J. Ma

Email: inquiry@icdmkd.org

Website: www.icdmkd.org