About Event:

?2023 6th International Conference on Data Mining and Knowledge DiscoveryDMKD 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 Speakers Professor 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 tourLab tours ?Paper Submission 1. Submit Via CMT: https:cmt3.research.microsoft.comDMKD2023 2. Submit Via email directly to: inquiry@icdmkd.org ?CONTACT US Ms. Rita J. Ma Email:inquiry@icdmkd.org Website: www.icdmkd.org