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Titlebook: Marketing Intelligent Systems Using Soft Computing; Managerial and Resea Jorge Casillas,Francisco J. Martínez-López Book 2010 Springer-Verl

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书目名称Marketing Intelligent Systems Using Soft Computing
副标题Managerial and Resea
编辑Jorge Casillas,Francisco J. Martínez-López
视频video
概述Develops and applies intelligent systems based on Soft Computing methods for marketing.State-of-the-Art book.Written by leading experts
丛书名称Studies in Fuzziness and Soft Computing
图书封面Titlebook: Marketing Intelligent Systems Using Soft Computing; Managerial and Resea Jorge Casillas,Francisco J. Martínez-López Book 2010 Springer-Verl
描述Dr. Jay Liebowitz Orkand Endowed Chair in Management and Technology University of Maryland University College Graduate School of Management & Technology 3501 University Boulevard East Adelphi, Maryland 20783-8030 USA jliebowitz@umuc. edu When I first heard the general topic of this book, Marketing Intelligent Systems or what I’ll refer to as Marketing Intelligence, it sounded quite intriguing. Certainly, the marketing field is laden with numeric and symbolic data, ripe for various types of mining—data, text, multimedia, and web mining. It’s an open laboratory for applying numerous forms of intelligentsia—neural networks, data mining, expert systems, intelligent agents, genetic algorithms, support vector machines, hidden Markov models, fuzzy logic, hybrid intelligent systems, and other techniques. I always felt that the marketing and finance domains are wonderful application areas for intelligent systems, and this book demonstrates the synergy between marketing and intelligent systems, especially soft computing. Interactive advertising is a complementary field to marketing where intelligent systems can play a role. I had the pleasure of working on a summer faculty f- lowship with R/
出版日期Book 2010
关键词Database Marketing; Marketing; Point of Sale; Sales; algorithms; communication; databases
版次1
doihttps://doi.org/10.1007/978-3-642-15606-9
isbn_softcover978-3-642-26525-9
isbn_ebook978-3-642-15606-9Series ISSN 1434-9922 Series E-ISSN 1860-0808
issn_series 1434-9922
copyrightSpringer-Verlag Berlin Heidelberg 2010
The information of publication is updating

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Observations on Soft Computing in Marketingthe sense that they are based on quantitative data, usually historical data related to some type of market response and some empirically derived functional form of the relationships among actions in the market and market response (Hanssens, Parsons and Schultz 2008). Such models have been widely emp
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Fuzzy Networks to work in an area that people find interesting, there is such a thing as a topic being too popular. Networks are too popular in the sense that they are not widely understood by users, hence they are thought to be the new, new thing, capable of answering all questions, from “Will my brand’s presenc
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Applying Soft Cluster Analysis Techniques to Customer Interaction Information Although some market segmentation efforts utilize high-level customer interaction statistics, in-depth information regarding customers’ use of different communication channels is often ignored. Detailed customer interaction information can help companies improve the way that they market to customer
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