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Fuzzy Modeling and Genetic Algorithms for Data Mining and Exploration (The Morgan Kaufmann Series in Data Management Systems)


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 | #3957852 in Books |  Earl Cox |  2005-01 |  2005-01-18 | Ingredients: Example Ingredients | Original language:English | PDF # 1 |  9.25 x1.25 x7.50l,2.45 | File type: PDF | 530 pages

 | Fuzzy Modeling And Genetic Algorithms For Data Mining And Exploration

||1 of 1 people found the following review helpful.| Interesting topics, poor coverage|By Steve Ash|I agree with the other negative reviewers. This book covers an interesting area of topics, but with no depth or where there is depth-- its poorly described. Here's my impression of each section:
1) I start reading, and the intro paragraphs grab my attention and I'm happy to learn about the topic!
2) It presents a vocab|From the Back Cover||Fuzzy Modeling and Genetic Algorithms for Data Mining and Exploration is a handbook for analysts, engineers, and managers involved in developing data mining models in business and government. As you’ll discover, fuzzy systems ar

Fuzzy Modeling and Genetic Algorithms for Data Mining and Exploration is a handbook for analysts, engineers, and managers involved in developing data mining models in business and government. As you’ll discover, fuzzy systems are extraordinarily valuable tools for representing and manipulating all kinds of data, and genetic algorithms and evolutionary programming techniques drawn from biology provide the most effective means for designing and tuning these...

You easily download any file type for your device.Fuzzy Modeling and Genetic Algorithms for Data Mining and Exploration (The Morgan Kaufmann Series in Data Management Systems)   |  Earl Cox.Not only was the story interesting, engaging and relatable, it also teaches lessons.

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