Advances in feature selection for data and pattern recognition.
نام عام مواد
[electronic resources]
نام نخستين پديدآور
/ Edited by Urszula Stańczyk, Beata Zielosko. Lakhmi C. Jain.
وضعیت نشر و پخش و غیره
محل نشرو پخش و غیره
Cham, Switzerland
نام ناشر، پخش کننده و غيره
: Springer
تاریخ نشرو بخش و غیره
, 2018.
مشخصات ظاهری
نام خاص و کميت اثر
xviii, 328 pages.
ساير جزييات
: illustrations (some color), tables.
فروست
عنوان فروست
Intelligent systems reference library, 138.
یادداشتهای مربوط به کتابنامه ، واژه نامه و نمایه های داخل اثر
متن يادداشت
Includes bibliographical references and index.
یادداشتهای مربوط به مندرجات
متن يادداشت
An Introduction.- Attribute Selection Based on Reduction of Numerical Attribute During Discretization.- Improving Bagging Ensembles for Class Imbalanced Data by Active Learning.- Optimization of Decision Rules Relative to Length Based on Modified Dynamic Programming Approach.- Ranking-Based Rule Classifier Optimisation.- Attribute Selection in a Dispersed Decision-Making System.- Feature Selection Approach for Rule-based Knowledge Bases.- Feature Selection with a Genetic Algorithm for Classification of Brain Imaging Data.
بدون عنوان
0
یادداشتهای مربوط به خلاصه یا چکیده
متن يادداشت
This book presents recent developments and research trends in the field of feature selection for data and pattern recognition, highlighting a number of latest advances.The field of feature selection is evolving constantly, providing numerous new algorithms, new solutions, and new applications.