Description: Feature Selection for High-Dimensional Data by Amparo Alonso-Betanzos, Verónica Bolón-Canedo, Noelia Sánchez-Maroño Estimated delivery 3-12 business days Format Paperback Condition Brand New Description This book offers a coherent and comprehensive approach to feature subset selection in the scope of classification problems, explaining the foundations, real application problems and the challenges of feature selection for high-dimensional data.The authors first focus on the analysis and synthesis of feature selection algorithms, presenting a comprehensive review of basic concepts and experimental results of the most well-known algorithms. They then address different real scenarios with high-dimensional data, showing the use of feature selection algorithms in different contexts with different requirements and information: microarray data, intrusion detection, tear film lipid layer classification and cost-based features. The book then delves into the scenario of big dimension, paying attention to important problems under high-dimensional spaces, such as scalability, distributed processing and real-time processing, scenarios that open up new and interesting challenges for researchers.The book is useful for practitioners, researchers and graduate students in the areas of machine learning and data mining. Author Biography Dr. Verónica Bolón-Canedo received her PhD in Computer Science from the University of A Coruña, where she is currently a postdoctoral researcher. Her research interests include data mining, feature selection and machine learning. Dr. Noelia Sánchez-Maroño received her PhD in 2005 from the University of A Coruña, where she is currently a lecturer. Her research interests include agent-based modeling, machine learning and feature selection. Prof. Amparo Alonso-Betanzos received her PhD in 1988 from the University of Santiago de Compostela, she is a Chair Professor in the Dept. of Computer Science at the University of A Coruña (Spain) and coordinator of the Laboratory for Research and Development in Artificial Intelligence. Her areas of expertise are machine learning, feature selection, knowledge-based systems, and their applications to fields such as predictive maintenance in engineering or predicting gene expression in bioinformatics. Details ISBN 3319366432 ISBN-13 9783319366432 Title Feature Selection for High-Dimensional Data Author Amparo Alonso-Betanzos, Verónica Bolón-Canedo, Noelia Sánchez-Maroño Format Paperback Year 2016 Pages 147 Publisher Springer International Publishing AG GE_Item_ID:151401092; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys
Price: 70.98 USD
Location: Fairfield, Ohio
End Time: 2025-01-21T03:15:16.000Z
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ISBN-13: 9783319366432
Book Title: Feature Selection for High-Dimensional Data
Number of Pages: Xv, 147 Pages
Publication Name: Feature Selection for High-Dimensional Data
Language: English
Publisher: Springer International Publishing A&G
Subject: Probability & Statistics / General, Intelligence (Ai) & Semantics, Databases / Data Mining
Publication Year: 2016
Item Weight: 91.1 Oz
Type: Textbook
Author: Verónica Bolón-Canedo, Amparo Alonso-Betanzos, Noelia Sánchez-Maroño
Subject Area: Mathematics, Computers
Item Length: 9.3 in
Item Width: 6.1 in
Series: Artificial Intelligence: Foundations, Theory, and Algorithms Ser.
Format: Trade Paperback