Open Science Research Excellence

ICDMKE 2020 : International Conference on Data Mining and Knowledge Engineering

Los Angeles, USA
October 29 - 30, 2020

Call for Papers

ICDMKE 2020 : International Conference on Data Mining and Knowledge Engineering is the premier interdisciplinary platform for the presentation of new advances and research results in the fields of Data Mining and Knowledge Engineering. The conference will bring together leading academic scientists, researchers and scholars in the domain of interest from around the world. Topics of interest for submission include, but are not limited to:
  • Data mining foundations
  • Novel data mining algorithms in traditional areas (such as classification, regression, clustering, probabilistic modeling, and association analysis)
  • Algorithms for new, structured, data types, such as arising in chemistry, biology, environment, and other scientific domains
  • Developing a unifying theory of data mining
  • Mining sequences and sequential data
  • Mining spatial and temporal datasets
  • Mining textual and unstructured datasets
  • High performance implementations of data mining algorithms
  • Mining in targeted application contexts
  • Mining high speed data streams
  • Mining sensor data
  • Distributed data mining and mining multi-agent data
  • Mining in networked settings: web, social and computer networks, and online communities
  • Data mining in electronic commerce, such as recommendation, sponsored web search, advertising, and marketing tasks
  • Methodological aspects and the KDD process
  • Data pre-processing, data reduction, feature selection, and feature transformation
  • Quality assessment, interestingness analysis, and post-processing
  • Statistical foundations for robust and scalable data mining
  • Handling imbalanced data
  • Automating the mining process and other process related issues
  • Dealing with cost sensitive data and loss models
  • Human-machine interaction and visual data mining
  • Security, privacy, and data integrity
  • Integrated KDD applications and systems
  • Bioinformatics, computational chemistry, geoinformatics, and other science & engineering disciplines
  • Computational finance, online trading, and analysis of markets
  • Intrusion detection, fraud prevention, and surveillance
  • Healthcare, epidemic modeling, and clinical research
  • Customer relationship management
  • Telecommunications, network and systems management