Workshop on Data Mining in Business and Finance


In conjunction with the 20th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2016) in Auckland, New Zealand(

Over the last few years, data mining techniques have been widely applied into business and financial applications, such as, credit risk, forecasting stock market, financial risk, product sales, managing loan management and customer relationship.

Objectives of this workshop are to provide an informal and vibrant opportunity for researchers and industry practitioners to share their research interests, original research results and practical development experiences on specific challenges and emerging issues of data mining in business and finance area.


This workshop is targeted to attract participants from academia, industry, government, and private institutions to discuss how data mining techniques and methods can contribute to answer business questions, allowing business to make proactive, and knowledge-driven decisions. The workshop will also focus on exploring the forefront between computer science and finance and inspiring fundamentally new ways of mining and knowledge discovery from a variety of financial applications.


We solicit original and high quality submissions addressing all aspects of this field. The topics of interest include, but are not limited to the following:

  • Data mining tools and techniques specialize for business and financial sectors
  • Applications of data mining in banking sector
  • Data mining applications in customer relationship management
  • Data mining applications in fraud detection
  • Data mining applications in risk management
  • Data mining applications in marketing
  • Real-world examples of how business can benefit from data mining
  • The future of data mining in business and finance
  • Time series prediction

Program Committee

Program Chairs

Qing Li PhD, Professor, Southwestern University of Finance and Economics, China

Yuanzhu Chen PhD, Professor, Memorial University of Newfoundland, Canada

Ling Liu PhD, Associate Professor, Southwestern University of Finance and Economics, China

Program Committee

Ting Hu Assistant Professor, Memorial University of Newfoundland, Canada

Sung Hyon Myaeng Professor, KAIST, Korea

Keng Siau Professor, Missouri University of Science and Technology, USA

Sa-kwang Song Research Scientist, KISTI, Korea

Shengyan Sun Research Scientist, IBM, China

Zhangxi Lin Professor, Texas Tech University, USA

Juchen Yang Professor, Tianjin Tech University, China

Weiwei Yuan Associate Professor, Harbin Engineering University, China


Important Dates

Dec. 23, 2015: Paper submission deadline 

Jan 10, 2016: Paper submission deadline 

Jan. 22, 2016: Author notification

Feb. 6, 2016: Camera-ready due 

Apr 19, 2016: WDMBF worshop 

Arp 19-22, 2016: PAKDD conference 


Submission Information

Paper submission system is at:

We call for original and unpublished research contributions of manuscripts to the workshop following the Springer LNCS/LNAI manuscript submission guidelines (available at ). The outstanding papers will be included in a LNCS/LNAI post Proceedings of PAKDD Workshops published by Springer.

Each submitted paper should include an abstract up to 200 words and be between 8-12 single-spaced pages with 10pt font size. All papers must be submitted electronically through the paper submission system in PDF format only.

Note: Submitting a paper to the workshop means that if the paper is accepted, at least one author should attend the workshop to present the paper. For no-show authors, their affiliations will receive a notification.


Ling Liu, lingliu @