Data Mining Feature Subset Weighting and Selection Using Genetic Algorithms - Okan Yilmaz
-25% koodilla BOOKS
Toimitus 10-16 arkipäivässä
30 päivän palautusoikeus
We present a simple genetic algorithm (sGA), which is developed under Genetic Rule and Classifier Construction Environment (GRaCCE) to solve feature subset selection and weighting problem to have better classification accuracy on k-nearest neighborhood (KNN) algorithm. Our hypotheses are that weighting the features will affect the performance of the KNN algorithm and will cause better classification accurac ... Täydellinen kuvaus
Saatat myös pitää
TOP
The Culture Map: Breaking Through the Invisible Boundaries of Global Business
-25% koodilla BOOKS
Varastossa
TOP
Atomic Habits: An Easy & Proven Way to Build Good Habits & Break Bad Ones
-25% koodilla BOOKS
Varastossa
TOP
The Nord Stream Conspiracy: The Inside Story of the Explosions That Shook the World
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
Prisoners of Geography: Updated 10th Anniversary Edition: Ten Maps That Tell You Everything You Need To Know About Global Politics
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
Women Who Run with the Wolves: Myths and Stories of the Wild Woman Archetype
Clarissa Pinkola Estés, Clarissa Pinkola Estes
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
Sapiens: A Brief History of Humankind
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
How Democracies Die
Steven Levitsky, Daniel Ziblatt
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
Classic Football Shirts
Classic Football Shirts, Rory Smith
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
The Whole-Brain Child: 12 Revolutionary Strategies to Nurture Your Child's Developing Mind
Daniel J. Siegel, Tina Payne Bryson
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
Everything I Know About Love: Now a Major BBC One Series
-25% koodilla BOOKS
Varastossa
TOP
Braiding Sweetgrass: Indigenous Wisdom, Scientific Knowledge and the Teachings of Plants
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
The Unabridged Journals of Sylvia Plath
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
To Kill a Mockingbird. 60th Anniversary Edition
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
The Testaments: The Sequel to The Handmaid's Tale
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
Caliban and the Witch: Women, the Body and Primitive Accumulation
-25% koodilla BOOKS
Toimittajalla varastossa
Kuvaus
We present a simple genetic algorithm (sGA), which is developed under Genetic Rule and Classifier Construction Environment (GRaCCE) to solve feature subset selection and weighting problem to have better classification accuracy on k-nearest neighborhood (KNN) algorithm. Our hypotheses are that weighting the features will affect the performance of the KNN algorithm and will cause better classification accuracy rate than that of binary classification. The weighted-sGA algorithm uses real-value chromosomes to find the weights for features and binary-sGA uses integer-value chromosomes to select the subset of features from original feature set. Since we use real-value chromosomes for weighted-sGA, instead of using standard crossover and mutation operators, these GRaCCE sGA operators are modified to adjust them to the feature subset selection and weighting problem.
Lisätietoja
| Kirjoittaja | Okan Yilmaz |
|---|---|
| Julkaisija | Creative Media Partners, LLC |
| Julkaisuvuosi | 2012 |
| Kannen tyyppi | Pehmeäkantinen |
| EAN | 9781288281657 |