IEEE International Conference on Knowledge Graph (ICKG)*

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The IEEE International Conference on Knowledge Graph (ICKG), formerly the IEEE International Conference on Big Knowledge (ICBK) and the “Data Mining and Intelligent Computing” Forum, provides a premier international forum for presentation of original research results in Knowledge Graph opportunities and challenges, as well as exchange and dissemination of innovative, practical development experiences. The conference covers all aspects of Knowledge Graph, including algorithms, software, platforms, and applications for knowledge graph construction, maintainence, and inference. ICKG draws researchers and application developers from a wide range of Knowledge Graph related areas such as knowledge engineering, big data analytics, statistics, machine learning, pattern recognition, data mining, knowledge visualization, high performance computing, and World Wide Web. By promoting novel, high quality research findings, and innovative solutions to challenging Knowledge Graph problems, the conference seeks to continuously advance the state-of-the-art in Knowledge Graph.

The IEEE International Conference on Big Knowledge (ICBK) has provided a premier international forum for presentation of original research results in Big Knowledge opportunities and challenges, as well as exchange and dissemination of innovative, practical development experiences. The conference has covered all aspects of Big Knowledge, including algorithms, software, systems, and applications. ICBK had drawn researchers and application developers from a wide range of Big Knowledge related areas such as statistics, machine learning, pattern recognition, knowledge visualization, expert systems, high performance computing, World Wide Web, and big data analytics. By promoting novel, high quality research findings, and innovative solutions to challenging Big Knowledge problems, the conference was seeking to continuously advance the state-of-the-art in Big Knowledge.

Conference History:

11th IEEE International Conference on Knowledge Graph (ICKG-2020), August 9-11, 2020, Nanjing, China Virtual venue
(Host: Nanjing University of Finance and Economics, School of Information Engineering)

• Keynotes: On Presuppositions of Machine Learning: A Meta Theory; Analysing, Understanding and Repairing Knowledge Graphs at Scale; Cyber Security Meets Big Knowledge: Towards a Secure HACE Theorem
• Conference Tracks: Machine Learning and Knowledge Graphs; Knowledge Graph Analytics and Applications; Knowledge Graphs and NLP; Social Network and Representation Learning; Knowledge Graphs for Cultural Heritage; Domain Knowledge Graphs; Knowledge Graphs for Geospatial Information Systems or Education (was: Knowledge Graphs for Geospatial Information Systems; Knowledge Graphs for Education); Reasoning with Knowledge Graphs (CANCELLED); Knowledge Graphs for Explainable Artificial Intelligence (CANCELLED); Multimodal Knowledge Graphs (CANCELLED)

Note: The conference might be organized as online event

10th IEEE International Conference on Big Knowledge (IEEE ICBK 2019), November 10-11, 2019, Beijing, China
(Host: Mininglamp Academy of Science)

• Keynotes: Applying theory of data to practice; Actual Causality
• Conference Sessions: Algorithm and Theory for Big Knowledge; Co-location Pattern Mining; Data Mining in Big Knowledge; Machine Learning and its Applications; Representation Learning; Big Knowledge Systems
• Conference Panels: Marketing Intelligence – Let Marketing Drive Efficiency and Innovation
• Co-located conferences: IEEE International Conference on Data Mining (ICDM), Nov 8-11

9th IEEE International Conference on Big Knowledge (IEEE ICBK 2018), November 17-18, 2018, Singapore
(Host: Nanyang Technological University)

• Keynotes: A Preliminary Study on Big Knowledge; On Big Wisdom (ICDM)
• Conference Sessions: Knowledge Graphs; Neural Networks and Deep Learning; Representation Learning; Graph Mining and Knowledge Platforms; Machine Learning and its Applications; Social Networks; Multi-Pattern Analysis
• Conference Panels: Knowledge Engineering with Big Data
• Co-located conferences: IEEE International Conference on Data Mining (ICDM), Nov 17-20

8th IEEE International Conference on Big Knowledge (IEEE ICBK 2017), August 9 – 10, 2017, Hefei, China
(Host: Hefei University of Technology, Data Mining and Intelligent Computing Laboratory)

• Keynotes: Tracking in Dynamic Networks; Deep Learning in Bioinformatics
• Conference Sessions: Statistics Learning; Recommendation Systems; Knowledge Engineering; Dynamic Systems
• Conference Panels: Big Graph Processing and Analytics; Knowledge Engineering with Big Data
• Conference Workshops: Workshop on Big Data Partitioning and Mining; Workshop on Linked Data Mining; Workshop on Research and Application of Big Knowledge in Urban Governance; Workshop on Sparse, Uncertain, and Incomplete Data Modeling and Online Learning; Workshop on Analyzing and Predicting Interaction Behaviors; Workshop on Dynamic Knowledge Modeling and Evolution

7th “Data Mining and Intelligent Computing” Forum, August 9-10, 2016, Hefei University of Technology, Hefei, China

6th “Data Mining and Intelligent Computing” Forum, August 9-10, 2015, Hefei University of Technology, Hefei, China

5th “Data Mining and Intelligent Computing” Forum, August 9-10, 2014, Hefei University of Technology, Hefei, China

4th “Data Mining and Intelligent Computing” Forum, August 9-10, 2013, Hefei University of Technology, Hefei, China
(in conjunction with the 1st Member Congress of the Anhui Artificial Intelligence Society)

3rd “Data Mining and Intelligent Computing” Forum, August 9-10, 2012, Hefei University of Technology, Hefei, China

2nd “Data Mining and Intelligent Computing” Forum, August 9-10, 2011, Hefei University of Technology, Hefei, China

1st “Data Mining and Intelligent Computing” Forum, August 9-10, 2010, Hefei University of Technology, Hefei, China

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