WDMBF2017: Workshop on Data Mining in Business and Finance Langkawi, Malaysia, July 17-20, 2017 |
Conference website | http://fife.swufe.edu.cn/BIlab/workshoppage/wdmbf2017.html |
Submission deadline | June 17, 2017 |
Workshop on Data Mining in Business and Finance (WDMBF2017) is in conjunction with the Pacific-Asia Conference on Information Systems (PAICS 2016) in Langkawi, Malaysia (http://pacis2017.org/).
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.
Topics
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
Submission Guidelines
All papers must be original and not simultaneously submitted to another journal or conference. All papers must follow the PACIS 2017 template. 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.
Please submit your paper through: https://easychair.org/conferences/?conf=wdmbf2017
Committees
Program Committee
- Ting Hu Assistant Professor, Memorial University of Newfoundland, Canada
- Keng Siau Professor, Missouri University of Science and Technology, USA
- Zhangxi Lin Professor, Texas Tech University, USA
- Ling Liu PhD, Associate Professor, Southwestern University of Finance and Economics, China
- Jiafen Liu PhD, Associate Professor, Southwestern University of Finance and Economics, China
- Xubin Luo PhD, Associate Professor, Southwestern University of Finance and Economics, China
- Chuan Luo PhD, Associate Professor, Southwestern University of Finance and Economics, China
- Sung Hyon Myaeng Professor, KAIST, Korea
- Sa-kwang Song Research Scientist, KISTI, Korea
- Shengyan Sun Research Scientist, IBM, China
- Tao Wang PhD, Associate Professor, Southwestern University of Finance and Economics, China
- Weiwei Yuan Associate Professor, Harbin Engineering University, China
- Yun Xu PhD, Professor, Southwestern University of Finance and Economics, China
Organizing committee
- Qing Li PhD, Professor, Southwestern University of Finance and Economics, China
- Juchen Yang Professor, Tianjin Tech University, China
Contact
All questions about submissions should be emailed to Prof Qing Li (liq_t AT swufe.edu.cn)