Data Mining in Marketing DMM
Intern. Workshop on Data Mining in Marketing DMM'2019

July 19, 2019, 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 EasyChair DMM 2019.