University of Technology, Sydney

Staff directory | Campus maps | Newsroom | What's on

Welcome to Data Sciences and Knowledge Discovery Laboratory

Introduction

The Smart Lab originated from the E-Intelligence Group, directed by Prof. Chengqi Zhang in the Smart e-Business Lab of the Faculty of Information Technologyin 2001. Since then, the group has focused on data mining and agent technology. In 2007, the E-Intelligence Group was upgraded to the Knowledge Discovery Lab of the UTS Research Centre for Intelligent Information Systems, directed by Prof. Longbing Cao. In April 2008, the Knowledge Discovery Lab was renamed as the Data Sciences and Knowledge Discovery Research Lab(the Smart Lab) after the UTS Council approved the Flagship (Tier-One) Centre of CIIS, now named UTS Centre for Quantum Computation and Intelligent Systems(QCIS). Now the lab is directed by Prof. Xingquan Zhu.

The Data Sciences and Knowledge Discovery Research Lab(the Smart Lab) aims to foster both theoretical and practical innovation in areas of machine learning, data mining and knowledge discovery, data sciences, behaviour informatics, and agent-mining interaction & integration. We also commit to real-world business problems and deliverables by scrutinising data agility, discovering actionable knowledge, and disclosing business intelligence for smart business decisions.

The Lab intends to deliver both high-quality research and high-impact development in bridging the gap between academia and businesses toward smart businesses and smart decisions, which feature in critical issues such as exceptional and constructive behavior in governments, industries and communities including domains and areas of social security, capital markets, insurance, e-commerce and telecom.

Research Interests in General

  • Activity Mining
  • Combined Mining
  • Domain Driven Data Mining
  • Innovative Associations
  • Kernel Methods
  • Multiple Data Source Discovery
  • Missing Data Imputation
  • Sequence Mining
  • Time Series Mining 
  • Behaviour Data
  • Behaviour Modeling and Representation
  • Behaviour Simulation
  • Behavior Pattern Analysis
  • Behavior Impact Analysis
  • Behavior Presentation
  • KDD Driven Agents
  • Agent-Driven KDD
  • Intelligence Metasynthesis
  • Mutual Issues
  • Infrastructure Enhancement
  • Smart Trading Support 
  • Smart Market Surveillance Support

Application Domains

  • Capital Markets
  • Crime
  • E-commerce
  • Health Insurance
  • Security
  • Telecom

Director:

Lab Director:Professor Xingquan Zhu