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Data Mining for Design and Marketing

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advanced data mining for marketing design
Antecedent Items
AR
AR Mining
association
Association Bundles
Category=UNF
chance
Chance Discovery
communication mining
computational methods
computational social science
Confidence Threshold
consumer behaviour analysis
data crystallization
Data Mining Process
discourse analysis
discovery
EPA Rating
eq_bestseller
eq_computing
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
FCA
FIS
formal
frequent
item
knowledge discovery techniques
map
market basket analysis
MOEA
Optimal Model Order
persuasive communication research
Red Nodes
RFID Tag
Rough Set
rule
scenario
Scenario Map
Sequential Pattern Mining
sets
Subset S1
SVM Classifier
user sentiment extraction
Vice Versa
Web Content Mining
Web Site Design Improvement
Web Structure Mining
Web Usage Mining

Product details

  • ISBN 9781420070194
  • Weight: 589g
  • Dimensions: 156 x 234mm
  • Publication Date: 26 Jan 2009
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
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Description

Data Mining for Design and Marketing shows how to design and integrate data mining tools into human thinking processes in order to make better business decisions, especially in designing and marketing products and systems.

The expert contributors discuss how data mining can identify valuable consumer patterns, which aid marketers and designers in detecting consumers’ needs. They also explore visualization tools based on the computational methods of data mining. Discourse analysis, chance discovery, knowledge discovery, formal concept analysis, and an adjacency matrix are just some of the novel approaches covered. The book explains how these methods can be applied to website design, the retrieval of scientific articles from a database, personalized e-commerce support tools, and more.

Through the techniques of data mining, this book demonstrates how to effectively design business processes and develop competitive products and services. By embracing data mining tools, businesses can better understand the behavior and needs of their customers.
About
University of Tokyo, School of Engineering, Japan Kansai University, Osaka, Japan