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Reuse in Intelligent Systems.

By: Contributor(s): Material type: TextTextPublisher: Milton : Taylor & Francis Group, 2020Copyright date: ©2020Edition: 1st edDescription: 1 online resource (253 pages)Content type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9781000089295
Subject(s): Genre/Form: Additional physical formats: Print version:: Reuse in Intelligent SystemsDDC classification:
  • 003.54
LOC classification:
  • QA76.76.R47 .R487 2020
Online resources:
Contents:
Cover -- Title Page -- Copyright Page -- Preface -- Table of Contents -- 1: Experimental Studies on the Impact of Data Sampling with Severely Imbalanced Big Data -- 2: How to Optimally Combine Univariate and Multivariate Feature Selection with Data Sampling for Classifying Noisy, High Dimensional and Class Imbalanced DNA Microarray Data -- 3: Big Data and Class Imbalance in Medicare Fraud Detection -- 4: Movie Recommendations Based on a Recurrent Neural Network Model -- 5: A Recommendation System Enhanced by Topic Modeling for Knowledge Reuse in MOOCs Ecosystems -- 6: Towards a Computer Vision Based Approach for Developing Algorithms for Soccer Playing Robots -- 7: Context-dependent Reachability Analysis for Hybrid Systems -- 8: Netflow Feature Evaluation for the Detection of Slow Read HTTP Attacks -- 9: Predictive Analysis of Server Log Data for Forecasting Events -- Index.
Summary: 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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Cover -- Title Page -- Copyright Page -- Preface -- Table of Contents -- 1: Experimental Studies on the Impact of Data Sampling with Severely Imbalanced Big Data -- 2: How to Optimally Combine Univariate and Multivariate Feature Selection with Data Sampling for Classifying Noisy, High Dimensional and Class Imbalanced DNA Microarray Data -- 3: Big Data and Class Imbalance in Medicare Fraud Detection -- 4: Movie Recommendations Based on a Recurrent Neural Network Model -- 5: A Recommendation System Enhanced by Topic Modeling for Knowledge Reuse in MOOCs Ecosystems -- 6: Towards a Computer Vision Based Approach for Developing Algorithms for Soccer Playing Robots -- 7: Context-dependent Reachability Analysis for Hybrid Systems -- 8: Netflow Feature Evaluation for the Detection of Slow Read HTTP Attacks -- 9: Predictive Analysis of Server Log Data for Forecasting Events -- Index.

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.

Description based on publisher supplied metadata and other sources.

Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2024. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.

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