Intern. Workshop on Data Mining in Marketing DMM 2020

July 17, 2020, New York, USA

Workshop Chair

• Ingrid Neuhaeuser, IBaI, Germany

Workshop Committee

• Seppe vanden Broucke, KU Leuwen, Belgium
• Maria Ciurea, University of Petroani, Romania
• Khin Lwin, University of Nottingham, UK
• Jufeng Peng, Shanghai Jiao Tong University, China
• Habib Jadj-Mabrouk, French Institute of Science and Technology of Transport, Spatial Planning, Development and Networks, France
• Ron Kenett, KPA, Israel
• Samuel Noriega, Universitat de Barcelona, Spain
• Irena Ograjensek, University Jubilianja
• Petra Perner, Institute of Computer Vision and applied Computer Sciences, IBaI, Germany
• Gero Szepannek University Stralsund, Germany
• Wouter Verbeke, Vrije Universiteit Brussel, Belgium
• Bing Zhu, Business School of Sichuan University, China
• ..

The scope of the Workshop

In business environment data warehousing - the practice of creating huge, central stores of customer data that can be used throughout the enterprise - is becoming more and more common practice and, as a consequence, the importance of data mining is growing stronger. Data mining allows indeed to extract the most important information from such vast data and to uncover previously unknown patterns that may be relevant to current business problems, thereby helping business managers to transform data into business decisions.

In marketing data mining has several and profitable applications. It can help to identify market segments containing customers with high-profit potential, and then build campaigns that favorably impact their behavior; to detect customers dissatisfied and ready to leave, and then align campaigns more closely with their needs; to outline profiles of prospective customers, and then increase the response rates of the acquisition campaigns, and so on.

The papers will be reviewed by the International Program Committee of ICDM

The goals of this workshop are to:

• to provide a forum for identifying important contributions and opportunities for
• research on data mining as it applies to marketing
• to promote the systematic study of how to apply data mining to marketing
• to show case applications.

Topics of interest include (but are not limited to):

• Applications in Marketing
• Methods for User Profiling
• Mining Insurance Data
• E-Marketing with Data Mining
• Logfile Analysis
• Churn Management
• Association Rules for Marketing Applications
• Online Targeting and Controlling
• Behavioral Targeting
• Juridical Conditions of E-Marketing, Online Targeting
• Control of Online-Marketing Activities
• New Trends in Online Marketing
• Aspects of E-Mailing Activities and Newsletter Mailing

Submission Requirements

Paper will be published in the workshop proceedings by ibai-publishing. PostScript (compressed and uuencoded) or PDF paper submissions should be formatted according to Springer LNCS format, with a maximum of ten pages. Author's instructions along with LaTeX and Word macro files are available on the web at http://www.springer.de/comp/lncs/authors.html.

Please submit the electronic version of your camera-ready paper to [email protected] and reference to DMM 2020 in the header.

Important Dates

• Submission Deadline: May 25th, 2020
• Notification Date: May 31th, 2020
• Camera-Ready Deadline: JUNE 12th, 2020
• Workshop date: July 17th, 2020

After the conference, authors are invited to submit a revised version of their paper to the International Journal Transactions on Machine Learning and Data Mining of the ibai publishing house.. Please submit a revised version of your paper after the conference to [email protected]