[agents] CFP - The 6th International Symposium on Mining Intelligence from Sensory Data (MISD)

Fri Jul 13 00:28:08 EDT 2018

The 6th International Symposium on Mining Intelligence from Sensory Data
(MISD)

November 5-8, 2018

Leuven, Belgium  

https://easychair.org/cfp/misd2018

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We are pleased to invite you to submit original contributions to MISD 2018
via the official submission system at
<https://easychair.org/conferences/?conf=misd2018>
https://easychair.org/conferences/?conf=misd2018.  MISD 2018 intends to
provide a leading edge, scholarly forum for researchers, engineers, and
students alike to share their state-of-the-art research and developmental
work in the broad areas of Mining Intelligence from Sensory Data. MISD will
be held in Leuven, Belgium (5-8 November 2018) in conjunction with the 9th
International Conference on Emerging Ubiquitous Systems and Pervasive
Networks (EUSPN 2018).

Important Dates

- Paper Submission Due:  July 30, 2018

- Acceptance Notification: August 15, 2018

- Final Manuscript Due:    September 8, 2018

Scope

This symposium aims to bring together researchers and practitioners working
on different aspects of machine learning, data mining and sensor networks
technologies in an effort to highlight the state-of-the-art and discuss the
challenges and opportunities to explore new research directions.

MISD aims to bring together people from both academia and industry for
original discussions and to prompt future directions in the development of
new techniques and strategies for sensory data. 

Topics

The topics of interest include, but are not limited to:

*  Applications and deployment experiences on mining sensory data

*  Applications of data mining for senor networks in business, science,
engineering, medicine, and other disciplines with particular attention to
lessons learned.

*  Data mining approaches to overcome sensor limitations such as available
energy for transmission, computational power, memory, and communications
bandwidth.

*  Data mining processes including data selection, sampling, cleaning,
reduction, transformation, integration and aggregation, as well as model
development, validation and deployment.

*  Data processing, storage and management for WSN

*  Detection, classification, and tracking of sensory information

*  Distributed algorithms and reasoning of sensory data

*  Distributed and collaborative signal processing for WSN

*  Distributed Bayesian learning (belief networks, decision networks)

*  Distributed clustering methods (distributed k-Means, dynamic neural
networks)

*  Distributed machine learning (neural networks, support vector machines,
decisions trees and rules, genetic algorithms) in sensor networks

*  Distributed Principal Component Analysis (PCA) and Independent Component
Analysis (ICA)

*  Distributed statistical regression methods in sensor networks.

*  Efficient, scalable and distributed algorithms for large-scale DDM tasks
such as classification, prediction, link analysis, time series analysis,
clustering, and anomaly detection.

*  Fault tolerance and identification in WSN

*  Fundamental bounds and formulations of intelligence in WSN

*  Incremental, exploratory and interactive mining.

*  Location, time, and other network services for WSN

*  Mining of data streams.

*  Mining security violations and patterns for WSN

*  Network health monitoring and management for WSN

*  Network protocols for WSN

*  Operating systems and runtime environments

*  Power consumption characteristics of distributed data mining algorithms
and developing data mining algorithms to minimize power consumption.

*  Privacy sensitive data mining.

*  Programming models and languages

*  Sensor tasking, control, and actuation

*  Simulation of WSN

*  Software agents approaches.

*  Theoretical foundations in data mining and sensor network; extensions of
computational learning theory to sensor networks.

*  Visual data mining for sensory data.

Paper Format

The submitted paper must be formatted according to the guidelines of
Procedia Computer Science, MS Word Template, Elsevier.

Paper Length

Submitted technical papers must be no longer than 6 pages for full papers,
including all figures, tables and references.

Paper Submission

Authors are requested to submit their papers electronically using the online
conference management system in PDF format before the deadline.

The submission processes will be managed by easychair.org. If you have used
this system before, you can use the same username and password. If this is
your first time using EasyChair, you will need to register for an account by
clicking "I have no EasyChair account" button. Upon completion of
registration, you will get a notification email from the system and you are
ready for submitting your paper. You can upload and re-upload the paper to
the system by

Publication

All MISD 2018 accepted papers will be published by Elsevier Science in the
open-access Procedia Computer Science series on-line. Procedia Computer
Science is hosted by Elsevier on www.Elsevier.com <http://www.Elsevier.com>
and on Elsevier content platform ScienceDirect (www.sciencedirect.com
<http://www.sciencedirect.com> ), and will be freely available worldwide.
All papers in Procedia will be indexed by Scopus (www.scopus.com
<http://www.scopus.com> ) and by Thomson Reuters' Conference Proceeding
Citation Index
(http://thomsonreuters.com/conference-proceedings-citation-index/). All
papers in Procedia will also be indexed by Scopus (www.scopus.com
<http://www.scopus.com> ) and Engineering Village (Ei)
(www.engineeringvillage.com <http://www.engineeringvillage.com> ). This
includes EI Compendex (www.ei.org/compendex <http://www.ei.org/compendex> ).
Moreover, all accepted papers will be indexed in DBLP
(http://dblp.uni-trier.de/). The papers will contain linked references, XML
versions and citable DOI numbers. You will be able to provide a hyperlink to
all delegates and direct your conference website visitors to your
proceedings. Selected papers will be invited for publication, in the
following special issues:

Organizing committee

  Haroon Malik, Marshall University, USA

  Elhadi Shakshuki, Acadia University, Canada

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