Using neural networks for clustering-based market segmentation PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Using neural networks for clustering-based market segmentation PDF full book. Access full book title Using neural networks for clustering-based market segmentation by Harald Hruschka. Download full books in PDF and EPUB format.
Author: Harald Hruschka
Publisher:
ISBN:
Category : Marketing
Languages : en
Pages : 20
Get Book Here
Book Description
Author: Harald Hruschka
Publisher:
ISBN:
Category : Marketing
Languages : en
Pages : 20
Get Book Here
Book Description
Author: P. V. Balakrishnan
Publisher:
ISBN:
Category : Market segmentation
Languages : en
Pages : 59
Get Book Here
Book Description
Author: Daniel Baier
Publisher: Springer Science & Business Media
ISBN: 3540283978
Category : Mathematics
Languages : en
Pages : 361
Get Book Here
Book Description
It is a great privilege and pleasure to write a foreword for a book honor ing Wolfgang Gaul on the occasion of his sixtieth birthday. Wolfgang Gaul is currently Professor of Business Administration and Management Science and the Head of the Institute of Decision Theory and Management Science, Faculty of Economics, University of Karlsruhe (TH), Germany. He is, by any measure, one of the most distinguished and eminent scholars in the world today. Wolfgang Gaul has been instrumental in numerous leading research initia tives and has achieved an unprecedented level of success in facilitating com munication among researchers in diverse disciplines from around the world. A particularly remarkable and unique aspect of his work is that he has been a leading scholar in such diverse areas of research as graph theory and net work models, reliability theory, stochastic optimization, operations research, probability theory, sampling theory, cluster analysis, scaling and multivariate data analysis. His activities have been directed not only at these and other theoretical topics, but also at applications of statistical and mathematical tools to a multitude of important problems in computer science (e.g., w- mining), business research (e.g., market segmentation), management science (e.g., decision support systems) and behavioral sciences (e.g., preference mea surement and data mining). All of his endeavors have been accomplished at the highest level of professional excellence.
Author: C. Perez
Publisher: Independently Published
ISBN: 9781091082502
Category : Computers
Languages : en
Pages : 172
Get Book Here
Book Description
MATLAB has the tool Neural Network Toolbox or Deep Learning Tools that provides algorithms, functions, and apps to create, train, visualize, and simulate neural networks. You can perform classification, regression, clustering, dimensionality reduction, time-series forecasting, and dynamic system modeling and control.The toolbox includes convolutional neural network and autoencoder deep learning algorithms for image classification and feature learning tasks. To speed up training of large data sets, you can distribute computations and data across multicore processors, GPUs, and computer clusters using Parallel Computing Toolbox.The more important features are the following: -Deep learning, including convolutional neural networks and autoencoders-Parallel computing and GPU support for accelerating training (with Parallel Computing Toolbox) -Supervised learning algorithms, including multilayer, radial basis, learning vector quantization (LVQ), time-delay, nonlinear autoregressive (NARX), and recurrent neural network (RNN)-Unsupervised learning algorithms, including self-organizing maps and competitive layers-Apps for data-fitting, pattern recognition, and clustering
Author: Ying-Wei Jan
Publisher:
ISBN:
Category : Neural networks (Computer science)
Languages : en
Pages : 0
Get Book Here
Book Description
Author: Harald Hruschka
Publisher:
ISBN:
Category :
Languages : en
Pages : 20
Get Book Here
Book Description
Author: Phipps Arabie
Publisher: World Scientific
ISBN: 9789810212872
Category : Mathematics
Languages : en
Pages : 508
Get Book Here
Book Description
At a moderately advanced level, this book seeks to cover the areas of clustering and related methods of data analysis where major advances are being made. Topics include: hierarchical clustering, variable selection and weighting, additive trees and other network models, relevance of neural network models to clustering, the role of computational complexity in cluster analysis, latent class approaches to cluster analysis, theory and method with applications of a hierarchical classes model in psychology and psychopathology, combinatorial data analysis, clusterwise aggregation of relations, review of the Japanese-language results on clustering, review of the Russian-language results on clustering and multidimensional scaling, practical advances, and significance tests.
Author: Malcolm McDonald
Publisher: Butterworth-Heinemann
ISBN: 0750659815
Category : Business & Economics
Languages : en
Pages : 493
Get Book Here
Book Description
* McDonald and Dunbar are the leading author team in this area * Segmentation and marketing mapping are core areas of the marketing syllabus, and there is much that is new as a result of the new segmentation possibilities from e-marketing and e-business * The book has a textbook feel, which highlights the diagrams and market maps (key elements of the book) This is a key book, in a vital area. The Butterworth-Heinemann edition of what was previously published by MacMillian, is a thoroughly revised and updated version. * Highly developed and well illustrated treatment of a key marketing technique * Usable by students and executives, for whom the practical, step-by-step approach is designed * Leading author team in the field
Author: Harald Hruschka
Publisher:
ISBN:
Category :
Languages : en
Pages : 34
Get Book Here
Book Description
Author: G. Peter Zhang
Publisher: IGI Global
ISBN: 1591401771
Category : Business & Economics
Languages : en
Pages : 296
Get Book Here
Book Description
Forecasting is one of the most important activities that form the basis for strategic, tactical, and operational decisions in all business organizations. Recently, neural networks have emerged as an important tool for business forecasting. Neural Networks in Business Forecasting provides researchers and practitioners with some recent advances in applying neural networks to business forecasting. A number of case studies demonstrating the innovative or successful applications of neural networks to many areas of business as well as methods to improve neural network forecasting performance are presented.
