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 IoT
  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 using Machine Learning
    • Social Impact of Data Science
    • Evaluation and Measurement in Data Science


Paper submission

Authors are invited to submit original, unpublished research work which is not being considered for publication in any other forum. Papers will be reviewed by the program committee for their technical merit, originality, significance, readability and relevance to the workshop.

Manuscript submissions should be in Adobe Portable Document Format (PDF) only.

The style files and templates for both LaTeX and Microsoft Word are available at IEEE author's guidelines.

Page length: The maximum length of the paper is 6 pages as per IEEE template. However, additional pages (up to 4) will permitted based on extra fee of $60 per page.

Note to authors: All submissions MUST be blind. Authors should not specify their names and affiliations in the paper.

Submission link: Please to submit your paper click here.