Vol-1958
urn:nbn:de:0074-1958-1

Copyright © 2017 for the individual papers by the papers' authors. Copying permitted for private and academic purposes. This volume is published and copyrighted by its editors.

IOTSTREAMING 2017
IoT Large Scale Learning from Data Streams

Proceedings of the Workshop on IoT Large Scale Learning from Data Streams
co-located with the 2017 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2017)

Skopje, Macedonia, September 18-22, 2017.

Edited by

Moamar Sayed-Mouchaweh *
Albert Bifet
Hamid Bouchachia *
João Gama
Rita Paula Ribeiro *

* High Engineering School of Mines, Douai, France
** LTCI, Telecom ParisTech, France
*** University of Bournemouth, UK
**** University of Porto and LIAAD Inesc Tec
***** LIAAD-INESC TEC, University of Porto, Portugal

Table of Contents

Preface
Moamar Sayed-Mouchaweh, Albert Bifet, Hamid Bouchachia, João Gama, Rita Paula Ribeiro

A Sliding Window Filter for Time Series Streams
Gordon Lesti, Stephan Spiegel
Evolutive Deep Models for Online Learning on Datastreams with no Storage
Andrey Besedin, Pierre Blanchart, Michel Crucianu, Marin Ferecatu
Summary Extraction on Data Streams in Embedded Systems
Sebastian Buschjäger, Katharina Morik, Maik Schmidt
Hybrid Self Adaptive Learning Scheme for Simple and Multiple Drift-like Fault Diagnosis in Wind Turbine Pitch Sensors
Houari Toubakh, Moamar Sayed-Mouchaweh
Self-Adaptive Ensemble Classifier for Handling Complex Concept Drift
Imen Khamassi, Moamar Sayed-Mouchaweh
Comparison Between Co-training and Self-training for Single-target Regression in Data Streams using AMRules
Ricardo Sousa, João Gama

2017-10-17: submitted by João Gama and Ricardo Sousa, metadata incl. bibliographic data published under Creative Commons CC0
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