Machine Learning for Networking : First International Conference, MLN 2018, Paris, France, November 27-29, 2018, Revised Selected Papers / edited by Éric Renault, Paul Mühlethaler, Selma Boumerdassi.

Format:

Book

Contributor:

Renault, Eric, editor.

Mühlethaler, Paul, editor.

Boumerdassi, Selma, editor.

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

LNCS sublibrary. Information systems and applications, incl. Internet/Web, and HCI ; SL 3, 11407.

Information Systems and Applications, incl. Internet/Web, and HCI ; 11407

Language:

English

Subjects (All):

Data mining.

Artificial intelligence.

Computer networks.

Computers, Special purpose.

Application software.

Data Mining and Knowledge Discovery.

Artificial Intelligence.

Computer Communication Networks.

Special Purpose and Application-Based Systems.

Information Systems Applications (incl. Internet).

Local Subjects:

Data Mining and Knowledge Discovery.

Artificial Intelligence.

Computer Communication Networks.

Special Purpose and Application-Based Systems.

Information Systems Applications (incl. Internet).

Physical Description:

1 online resource (XIII, 388 pages) : 208 illustrations, 156 illustrations in color.

Edition:

First edition 2019.

Contained In:

Springer eBooks

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2019.

System Details:

text file PDF

Summary:

This book constitutes the thoroughly refereed proceedings of the First International Conference on Machine Learning for Networking, MLN 2018, held in Paris, France, in November 2018. The 22 revised full papers included in the volume were carefully reviewed and selected from 48 submissions. They present new trends in the following topics: Deep and reinforcement learning; Pattern recognition and classification for networks; Machine learning for network slicing optimization, 5G system, user behavior prediction, multimedia, IoT, security and protection; Optimization and new innovative machine learning methods; Performance analysis of machine learning algorithms; Experimental evaluations of machine learning; Data mining in heterogeneous networks; Distributed and decentralized machine learning algorithms; Intelligent cloud-support communications, resource allocation, energy-aware/green communications, software defined networks, cooperative networks, positioning and navigation systems, wireless communications, wireless sensor networks, underwater sensor networks.

Contents:

Learning Concave-Convex Profiles of Data Transport Over Dedicated Connections

Towards Analyzing C-ITS Security Data

Towards a Statistical Approach for User Classification in Twitter

RILNET: A Reinforcement Learning Based Load Balancing Approach for Datacenter Networks

Building a Wide-Area File Transfer Performance Predictor: An Empirical Study

Advanced Hybrid Technique in Detecting Cloud Web Application's Attacks

Machine-Learned Classifiers for Protocol Selection on a Shared Network

Common Structures in Resource Management as Driver for Reinforcement Learning: a Survey and Research Tracks

Inverse Kinematics Using Arduino and Unity for People with Motor Skill Limitations

Delmu: A Deep Learning Approach to Maximizing the Utility of Virtualised Millimetre-Wave Backhauls

Malware Detection System Based on an In-depth Analysis of the Portable Executable Headers

DNS Traffic Forecasting Using Deep Neural Networks

Energy-Based Connected Dominating Set for Data Aggregation for Intelligent Wireless Sensor Networks

Touchless Recognition of Hand Gesture Digits and English Characters Using Convolutional Neural Networks

LSTM Recurrent Neural Network for Anomaly Detection in Cellular Mobile Networks

Towards a Better Compromise Between Shallow and Deep CNN for Binary Classification Problems of Unstructured Data

Reinforcement Learning Based Routing Protocols Analysis for Mobile Ad-Hoc Networks

Deep Neural Ranking for Crowdsourced Geopolitical Event Forecasting

The Comment of BBS: How Investor Sentiment Affects a Share Market of China

A Hybrid Neural Network Approach for Lung Cancer Classification with Gene Expression Dataset and Prior Biological Knowledge

Plant Leaf Disease Detection and Classification Using Particle Swarm Optimization

A Game Theory Approach for Intrusion Prevention Systems

WSN Heterogeneous Architecture Platform for IoT

An IoT Framework for Detecting Movement Within Indoor Environments

A Hybrid Architecture for Cooperative UAV and USV Swarm Vehicles

Detecting Suspicious Transactions in Smart Living Spaces

Intelligent ERP Based Multi Agent Systems and Cloud Computing.

Other Format:

Printed edition:

ISBN:

978-3-030-19945-6

9783030199456

Access Restriction:

Restricted for use by site license.