International Workshop on Autonomous Knowledge Discovery (AKD 2015)

In Conjunction with DASC 2015 

26-28 October 2015, Liverpool, UK


Knowledge discovery in databases (KDD) also referred to as data mining, is the process of discovering useful knowledge from a collection of data. The resulting knowledge needs to be in a machine-readable and machine-interpretable format and must represent knowledge in a manner that facilitates inference.

This workshop will focus on fundamentally new ways of mining and knowledge discovery from a variety of datasets. The presentations and discussions of this workshop will lead to novel insights and knowledge by mining, integrating, and interpreting large-scale data. This workshop is targeted to attract participants from academia, industry, government, and private institutions.


Contributions should focus on (but not limited to) the following topics:

  • Data and knowledge representation;
  • Data mining techniques: clustering, classification, association rules, decision trees, etc.
  • Knowledge management, intelligent systems;
  • Integration of data warehousing, OLAP and data mining;
  • Integrating constraints and knowledge in the KDD process;
  • Exploring data analysis, inference of causes, prediction;
  • Data visualisation;
  • Distributed data analysis platforms;
  • Evaluating, consolidating, and explaining discovered knowledge;
  • Statistical techniques for generation a robust, consistent data model;
  • Interactive data exploration/visualization and discovery;
  • Semantic-based Systems, Ontologies and Linked Data;
  • human-computer interaction;


Program Chair

Dr Justin McKeown, York St. John University, UK

Dr Yongjun Zheng, York St. John University, UK

Prof Lu Liu, University of Derby, UK

Publicity Chair

John Panneerselvam, University of Derby, UK

Bo Yuan, University of Derby, UK

Important Date

Submission Deadline: 31 July 2015 (Extended Deadline)

AuthorsNotification: 15 August 2015

Camera-ready Paper Due: 15 September 2015

RegistrationDue: 15 September 2015

Conference Date: 26-28 October 2015

Paper Submission

All papers need to be submitted electronically through the submission website

( The materials presented in the papers should not be published or under submission elsewhere. Each paper is limited to 6 pages (or 8 pages with over length charge) including figures and references using IEEE Computer Society Proceedings Manuscripts style (two columns, single-spaced, 10 fonts). You can confirm the IEEE Computer Society Proceedings Author Guidelines at the following web page:

Once accepted, the paper will be included into the IEEE conference proceedings published by IEEE Computer Society Press (indexed by EI). At least one of the authors of any accepted paper is requested to register the paper at the workshop.