Trending Bestseller

Marketing Intelligent Systems Using Soft Computing

Managerial and Research Applications

No reviews yet Write a Review
Paperback / softback
06 November 2012
RRP: $273.90
$269.79
Ships in 3-5 business days

Delivery estimate

Hurry up! Current stock:
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/GA in New York City-they have been ranked as the top inter- tive advertising agency worldwide. I quickly learned that interactive advertising also takes advantage of data visualization and intelligent systems technologies to help inform the Chief Marketing Officer of various companies. Having improved ways to present information for strategic decision making through use of these technologies is a great benefit.

You Can Find This Title In

    Product Details
    ISBN-13
    9783642265259
    Author
    Jorge Casillas
    Publisher
    Springer Nature B.V.
    Published
    06 November 2012
    Format
    Paperback / softback

    This product hasn't received any reviews yet. Be the first to review this product!

    RRP: $273.90
    $269.79
    Ships in 3-5 business days

    Delivery estimate

    Hurry up! Current stock:

    Marketing Intelligent Systems Using Soft Computing

    RRP: $273.90
    $269.79

    Description

    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/GA in New York City-they have been ranked as the top inter- tive advertising agency worldwide. I quickly learned that interactive advertising also takes advantage of data visualization and intelligent systems technologies to help inform the Chief Marketing Officer of various companies. Having improved ways to present information for strategic decision making through use of these technologies is a great benefit.

    You Can Find This Title In

      This Title Is Categorised As