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Call for Workshop Papers

7th IEEE International Workshop on Data Science (IWDS 2019)   

In Conjunction with the Thirteenth International Conference on Digital Information Management (ICDIM 2019)
Dublin, Ireland 
August 22-24, 2019

Technically co-sponsored by the IEEE Technology Management Council
Accepted workshop papers will be published in the proceedings indexed by IEEE Xplore.

About the Workshop

Data Science is an area of extensive research as new applications are emerging from Industry with requirements for real-time data analysis of data streams that arrive with high speed, high data volume and in a variety of data formats. Terabytes, even petabytes of data are generated each day in diverse formats such as structured data, plain text data, imaging data, audio and video data. The IEEE International Workshop on Data Science (IWDS) aims at providing a forum for presentation of the latest research results, new technology developments, and new applications in the areas of Data Analytics, Data Mining, Machine Learning, Stream Data Processing, and Data Warehousing. From 2013 to 2018, it has been annually held in Pakistan, Thailand, Korea, Portugal, Japan, and Germany.

IWDS 2019 invites submissions under two tracks. Each track includes but not limited to the following topics:

1.   Data Management

Metadata and Ontologies Management
Data Management in Clouds
Data Management in Enterprise Applications
Data Cleaning and Preparation
Data Stream Processing
Stream Data Management
Data Capture in Real-time
Big Data Issues and Applications
Performance and Scalability
  Real-time Decision Support
ETL for the Real-time Data Warehouse
Knowledge Management and Engineering
Novel Data Models
Data Visualization
IOT data management
Applications for the Internet of Thing

2. Data Analytics

Regression, Clustering, and Classification
Time Series Forecasting
Mining Text and Semi-structured Data
Mining Retail Data
Mining Social Data 
Mining Stream Data 
Temporal and Spatial Data Mining
Visual Data Mining 
Artificial Neural Networks, Deep Learning
Fuzzy Logic and Rough Sets
  Decision Trees/Rule Learners
Support Vector Machines
Evolutionary Computation/Meta Heuristics
  Pattern Recognition and Behaviour Prediction
  Social Impact of Data Science
Evaluation and Measurement in Data Science


Submissions should provide original and unpublished research results or ongoing research with simulations. The papers should be between 6 to 8 pages total in length in the IEEE format.

* All the accepted papers will appear in the proceedings published by IEEE and fully indexed by IEEE Xplore.
All the ICDIM papers are indexed by DBLP (http://www.informatik.uni-trier.de/~ley/db/conf/icdim/index.html)

* Modified version of the selected papers will appear in the special issues of the following peer reviewed and indexed journals.


(Indexed in Scopus, Thomson Reuters, Journal Citation Reports, dblp, Engineering Index and many other databases)

Important Dates

Full Paper Submission: June 15, 2019
Notification of Acceptance/Rejection: July 15, 2019
Registration Due: August 15, 2019
Camera Ready Due: August 15, 2019
Workshops/Tutorials/Demos: August 23, 2019
Main conference: August 22-24, 2019


Dr. Muhammad Asif Naeem, School of Computer and Mathematical Sciences, Auckland University of Technology, Auckland, New Zealand

A/P Dave Parry, Department of Computer Science, Auckland University of Technology, Auckland, New Zealand 

Pit Pichappan, Digital Information Research Labs, India & UK

Submissions at https://iwdm.aut.ac.nz/iwds2019/index.html

For additional inquiries, please contact the organizers - muhammad.asif.naeem@aut.ac.nz

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