Reuse in Intelligent Systems (eBook, ePUB)

Redaktion: Rubin, Stuart H; Bouzar-Benlabiod, Lydia

• Format: ePub

Produktbeschreibung

This book is based on the best papers of the IEEE IRI 2018 and the IEEE FMI 2018 Salt Lake City conferences, held in July, 2018. It comprises recent works - covering several aspects of reuse in intelligent systems, including scientific theory and technology-based applications.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 252
• Erscheinungstermin: 24. März 2020
• Englisch
• ISBN-13: 9781000089639
• Artikelnr.: 58879339

Autorenporträt

Stuart H. Rubin has a PhD in Information Science from Lehigh University and a certificate for Embodied Intelligence from MIT. He was an ONT Post-Doctoral Fellow and a tenured professor of computer science at CMU. He has over 39 Navy patents, over 332 publications - including five book chapters plus five books, and has received five publication awards. He is a Fellow of the IEEE, SIRI, the NAI, and the AAAS. Lydia Bouzar-Benlabiod is an assitant professor at Laboratoire de Communication des Systèmes Informatiques (LCSI), Ecole Nationale Supérieure d'Informatique (ESI, Algeria). She received a PhD degree in Computer Science from ESI and from Université d'Artois (France) in 2015. She received a magisterial degree from ESI in 2010. She is a member of The International Society of Applied Intelligence. She has co-edited a book (published by Springer) and a special issue of the ISF Springer journal with Dr. Stuart Rubin.

Inhaltsangabe

Experimental Studies on the Impact of Data Sampling with Severely
Imbalanced big data. How to Optimally Combine Univariate and Multivariate
Feature Selection with Data Sampling for Classifying Noisy, High
Dimensional and Class Imbalanced DNA Microarray Data. Big Data and Class
Imbalance in Medicare Fraud Detection. Movie Recommendations Based on a
Recurrent Neural Network Model. A Recommendation System Enhanced by Topic
Modeling for Knowledge Reuse in MOOCs Ecosystems. Toward a Computer Vision
Based Approach for Developing Algorithms for Soccer Playing Robots.
Context-dependent Reachability Analysis for Hybrid Systems. Netflow Feature
Evaluation for the Detection of Slow Read HTTP Attacks. Predictive Analysis
of Server Log Data for Forecasting Events.