Categories |
DATA MINING
MARKETING
ECONOMIC
BIG DATA
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Call for Papers |
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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. |
Credits and Sources |
| [1] DMM 2019 : Intern. Workshop on Data Mining in Marketing DMM'2019 |
