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SML 2016 : Workshop on Scalable Machine Learning

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Link: http://sml2016.sciencesconf.org/
 
When Oct 23, 2016 - Oct 25, 2016
Where Thessaloniki, Greece,
Submission Deadline May 2, 2016
Notification Due Jun 6, 2016
Final Version Due Jun 13, 2016
 

Call For Papers

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Workshop on Scalable Machine Learning
Co-located with the INNS Big Data conference
Thessaloniki, Greece, 23th-25th October 2016
http://sml2016.sciencesconf.org/
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Important Dates
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-Paper submission: Mai 9th, 2016
-Notification of paper acceptance: June 6th, 2016
-Camera-ready submission (CCIS): June 13th, 2016

Overview
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Scalable Machine Learning occurs when Statistics, Systems, Machine Learning and Data Mining are combined into flexible, often non-parametric, and scalable techniques for analyzing large amounts of data at internet scale. In many fields, such as multimedia, insurance information systems, bio-informatics, and with advances in data collection and storage technologies have allowed companies to accumulate and to acquire vast amounts of data (Terabyte, Petabyte, and sometimes Zettabyte). Furthermore, proprietary data sources may be enriched and merged with other heterogeneous sources developed by other organisations including government data named open data. In this context, it appears very important to use techniques and technologies of “Big Data” (such as MapReduce, cloud, parallel and streaming algorithms, etc.) in addition to rethink our algorithms to make them scalable.

This workshop offers a meeting opportunity for academic and industry researchers in the fields of machine learning, neural network, data visualization, data mining and Big Data to discuss new areas of learning methods and experimental design. We encourage researchers and practitioners to submit papers describing original research addressing complex data and scalable machine learning challenges.

This includes but is not restricted to the following topics:

-Clustering and classification for Big Data
-Neural networks approaches
-Distributed neural networks
-Deep learning
-Online learning for high-velocity streaming data
-Methods of detecting changes in evolving data
-Clustering and classification of data of changing distributions
-Visualization of big data and data streams
-Theoretical frameworks for big data mining
-Scalable algorithms for big data
-Interactive stream mining techniques
-Distributed ensemble classifier
-Collaborative methods
-Parallel and distributed computational intelligence
-Parallel and distributed computing for big data analytics (cloud, map-reduce, etc.)
-Future research challenges of data stream mining

The Workshop is supported by the INNS, and the group of "Data Mining et Apprentissage" of Société Française de Statistique (French Statistical Society).

Paper Submission and Publication
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Original works submitted as a regular paper limited to a maximum of 14 pages in Springer format will be published in the proceedings to be available electronically as a Springer book in ADVANCES IN INTELLIGENT SYSTEMS AND COMPUTING Series, to download for delegates.

Papers submitted to this workshop should use easychair link : https://easychair.org/conferences/?conf=sml20160

It will be peer-reviewed by at least three PC members on the basis of technical quality, relevance, originality, significance and clarity.

At least one author of an accepted submission to the conference should register with a regular fee to present their work at the conference.

Related Resources

ICML 2017   34rd International Conference on Machine Learning
IJCAI 2017   International Joint Conference on Artificial Intelligence
MLDM 2017   Machine Learning and Data Mining in Pattern Recognition
DSAA 2017   The 4th IEEE International Conference on Data Science and Advanced Analytics 2017
BigData-FAB 2016   Special Issue on “Big Data and Machine Learning in Finance, Accounting and Business” in Electronic Commerce Research (Springer)
ECML-PKDD 2017   European Conference on Machine Learning and Principles and Practice of Knowledge Discovery
CCML 2017   The 16th China Conference on Machine Learning
ISMIS 2017   23rd International Symposium on Methodologies for Intelligent Systems
ICMR 2017   ACM International Conference on Multimedia Retrieval
SWJ - KB generation & population 2016   Semantic Web Journal - Special Issue on Machine Learning for Knowledge Base Generation and Population