The International Conference on Contemporary Issues in Data Science

معتبرترین کنفرانس علوم داده ۲۰۱۹

The International Conference on Contemporary Issues in Data Science

Iran – Zanjan – March 6 – 8 , 2019

https://cidas.iasbs.ac.ir

Data science is rapidly growing field and as a profession incorporates a wide variety of areas from statistics, mathematics and machine learning to applied big data analytics. This is not limited to computer science, but also physics, astronomy, medicine, labor market analysis, marketing and many more. For instance, the Large Synoptic Survey Telescope (LSST) is planned to deliver 100 Petabytes of data in the next decade. This demands awareness of emerging technologies and calls for technologies and services of tomorrow, specially big data and data science expertise. According to the Forbes, “Data Science” is listed as LinkedIn’s fastest growing job in 2017. The need to have professional data scientists is not limited to just education, but also proper development and preparation of environments and tools to brainstorm on recent research and scientific achievements of the area.

آدرس ثبت نام و فرمت مقاله (Paper Submission & Conference Paper Formats)

https://cidas.iasbs.ac.ir/submission.html

زمان کنفرانس:

Important Dates

Paper submission: November 9, 2018

Preliminary review:January 11, 2019

Rebuttals: January 23-25, 2019

Notification of acceptance: February 1, 2019

Camera-ready and early registration: February 14, 2019

Late registration deadline: February 24, 2019

هزینه ثبت نام:

موضوعات مرتبط کنفرانس (Call Papers)

Big Data Analysis

  • Linked Open Data
  • Scalable Machine Learning
  • Distributed Data Storage and Analysis
  • Algorithmic and Statistical Techniques for Big Data
  • Privacy and Ethics

Machine Learning and Data science

  • Deep Learning
  • Text Mining and Natural Language Processing
  • Statistical Pattern Recognition
  • Statistical Models in Data Science
  • Probabilistic graphical models

Semantic Data Science

  • Knowledge Discovery
  • Semantic Technologies
  • Novel Information Retrieval
  • Linked data and Semantic Web
  • Ontologies
  • Graph and Network Analysis

Applied Data Science

  • Computer vision
  • Biological data analysis and Bioinformatics
  • Social network analysis
  • Large Scale Data retrieval and analysis in Smart Cities
  • Data Science for Gamification
  • IoT and WoT
  • Industry 4.0
  • Malware detection

برنامه کنفرانس:

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