Final Program ScheduleTaipei, Taiwan, May 6, 2002
To be Held in Conjunction with
The Sixth Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD-02)
Workshop Theme
The Web presents a key driving
force in the rapid growth of electronic commerce and a new channel for content
providers. Rich web logs provide companies with data about their customers and
prospective customers, allowing micro-segmentation and personalized
interactions. Customer acquisition costs in the hundreds of dollars per customer
are common, justifying heavy emphasis on correct targeting. Once customers are
acquired, customer retention becomes the target. Retention through customer
satisfaction and loyalty can be greatly improved by acquiring and exploiting
knowledge about these customers and their needs.
Although web logs are the source for valuable knowledge patterns, one should keep in mind that the Web is only one of the interaction channels among a company and its customers. Data obtained from conventional channels provide invaluable knowledge on existing market segments, while mobile communication adds further customer groups. In response, companies are beginning to integrate multiple sources of data including web, wireless, call centers, and brick-and-mortar store data into a single data warehouse that provides a multifaceted view of their customers, their preferences, interests and expectations.
This workshop aims to bring together practitioners of web-commerce, wap-commerce, call centers, and brick-and-mortar stores with tool vendors and data mining researchers in order to foster the exchange of ideas and the dissemination of emerging solutions related to customer interactions across multiple touchpoints and to the customer retention and acquisition policies that can be derived from the analysis of these interactions.
This workshop calls for
contributions related to data mining of log data and of data obtained from
multiple touch points, and to the exploitation of the mining results in
individualized products and services. These include, but are not limited to, the
following topics:
Enabling technologies
- Data warehousing (both web and non-web data)
- Data collection including event streams, such as click-streams and call center streams, and transactional data
- Techniques for web data preparation, including cleansing, transformation, and sampling
- Techniques for the integration of web data with data from other channels
- Transforming mining patterns to economic values, such as return on investment, building brand, and improved loyalty
- Techniques for mining in real-time (online)
Customer profiling (both offline and online)
- Customer profiles from integrated data sources
- Recommendation systems
- Alert systems
- Permission marketing
- Intermediary services in the B2C relationship
- Privacy issues and anonymization
Applications for
- Recommendation systems, such as travel assistants
- Alert systems, such as personalized delivery of news and journals
- Personalized agents, such as monitors of stock exchange prices
Fraud detection systems, such as monitoring of credit card usage, or protect customers from being victimized by fraudulent credit card purchase.
| San-Yih Hwang | Jaideep Srivastava |
| National Sun-Yat Sen University | University of Minnesota |
| Kaoshiung | Minneapolis, MN |
| ROC | USA |
| syhwang@misserv.mis.nsysu.edu.tw | srivasta@cs.umn.edu |
|
Jau-Hwang Wang |
Ee-Peng Lim |
|
Central Police University |
Nanyang Technological University |
|
Tao-Yuan |
Blk N4, 2A-32, Nanyang Avenue |
|
ROC |
Singapore 639798 |
| aseplim@ntu.edu.sg |
Program Committee
Gedas Adomavicius, University of Minnesota, USA Arbee L. P. Chen, National Dong-Hwa University, Taiwan Ming-Syan Chen, National Taiwan University, Taiwan Yen-Liang Chen, National Central University, Taiwan Roger Chiang, University of Cincinnati, USA Christopher W. Clifton, The MITRE Corporation, USA Robert Cooley, KXEN Inc., USA Masaru Kitsuregawa, Tokyo University, Japan Chiang Lee, National Cheng-Kung University, Taiwan Jian Zhong Li, Harbin Institute of Technology, PRC Duen-Ren Liu, National ChiaoTung University, Taiwan Bamshad Mohasher, DePaul University, USA Ajay Pandey, Guidant Systems, USA Raymond A. Paul, OSD, Pentagon, USA Shashi Shekhar, University of Minnesota, USA Vincent S.M. Tseng, National Cheng-Kung University, Taiwan Chih-Ping Wei, National Sun Yat-sen University, Taiwan Osmar R. Zaiane, University of Alberta, Canada Mohammed Zaki, Rensselaer Polytechnic Institute, USA
Papers Due: Jan. 28th, 2002 (hard
deadline) Workshop registration is handled by
PAKDD02. The
workshop registration fee is USD$90, including coffee break, lunch and dinner.
We solicit original papers on all aspects of mining customer data in support of customer
relationship management. Submissions should be in PDF or Postscript format. All
submissions should be made electronically via the MDCRM submission system at the
URL, http://renegade.cais.ntu.edu.sg:8000/mdcrm02/html/.
Notification of Acceptance: Feb. 28th,
2002
Camera ready: Mar 16th, 2002
Workshop: May 6th, 2002