| 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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