Description: Please refer to the section BELOW (and NOT ABOVE) this line for the product details - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Title:Pattern Mining With Evolutionary AlgorithmsISBN13:9783319338576ISBN10:3319338579Author:Ventura, Sebastian (Author), Luna, Jose Maria (Author)Description:This Book Provides A Comprehensive Overview Of The Field Of Pattern Mining With Evolutionary Algorithms To Do So, It Covers Formal Definitions About Patterns, Patterns Mining, Type Of Patterns And The Usefulness Of Patterns In The Knowledge Discovery Process As It Is Described Within The Book, The Discovery Process Suffers From Both High Runtime And Memory Requirements, Especially When High Dimensional Datasets Are Analyzed To Solve This Issue, Many Pruning Strategies Have Been Developed Nevertheless, With The Growing Interest In The Storage Of Information, More And More Datasets Comprise Such A Dimensionality That The Discovery Of Interesting Patterns Becomes A Challenging Process In This Regard, The Use Of Evolutionary Algorithms For Mining Pattern Enables The Computation Capacity To Be Reduced, Providing Sufficiently Good Solutions This Book Offers A Survey On Evolutionary Computation With Particular Emphasis On Genetic Algorithms And Genetic Programming Also Included Is An Analysis Of The Set Of Quality Measures Most Widely Used In The Field Of Pattern Mining With Evolutionary Algorithms This Book Serves As A Review Of The Most Important Evolutionary Algorithms For Pattern Mining It Considers The Analysis Of Different Algorithms For Mining Different Type Of Patterns And Relationships Between Patterns, Such As Frequent Patterns, Infrequent Patterns, Patterns Defined In A Continuous Domain, Or Even Positive And Negative Patterns A Completely New Problem In The Pattern Mining Field, Mining Of Exceptional Relationships Between Patterns, Is Discussed In This Problem The Goal Is To Identify Patterns Which Distribution Is Exceptionally Different From The Distribution In The Complete Set Of Data Records Finally, The Book Deals With The Subgroup Discovery Task, A Method To Identify A Subgroup Of Interesting Patterns That Is Related To A Dependent Variable Or Target Attribute This Subgroup Of Patterns Satisfies Two Essential Conditions: Interpretability And Interestingness Binding:Hardcover, HardcoverPublisher:SPRINGER NATUREPublication Date:2016-06-21Weight:1.03 lbsDimensions:0.5'' H x 9.25'' L x 6.1'' WNumber of Pages:190Language:English
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Book Title: Pattern Mining With Evolutionary Algorithms
Item Length: 9.3in
Item Width: 6.1in
Author: Sebastian Ventura, José Luna Borge
Publication Name: Pattern Mining with Evolutionary Algorithms
Format: Hardcover
Language: English
Publisher: Springer International Publishing A&G
Publication Year: 2016
Type: Textbook
Item Weight: 152.4 Oz
Number of Pages: Xiii, 190 Pages