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GCCE-OSDSC 2019 : GCCE 2019: Organized Session on Data Science and Its Application to Consumer Technology

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Link: http://www.ieee-gcce.org/2019/organized.html#os-dsc
 
When Oct 15, 2019 - Oct 18, 2019
Where Osaka, Japan
Submission Deadline May 27, 2019
Notification Due Jul 19, 2019
Final Version Due Aug 9, 2019
Categories    data science   data mining   deep learning   big data
 

Call For Papers

Nowadays, the internet and smart devices around us gather a large amount of data which holds many potential to improve our lives in many perspectives. Therefore, data science emerges as an interdisciplinary field that involves scientific methods in processes, algorithms, and systems to extract and analyze data which exists in various form. Starting from raw data, the data is processed and analyzed by utilizing data models and algorithms such as machine learning and statistical analysis methods. Then, decision making and data visualization are provided to support service recommendations, business analytics, and improving systems. This session invites researchers from various fields that focus on methodologies in data science, big data, and its visualization techniques, its application to consumer technology including (but not limited to) smart systems and Internet of Things, network and security or games and social media. We particularly welcome contributions that describe systems or tools related to data analytics, machine learning, recommender systems, and so on. We also highly encourage researchers to show their latest research work.

Keywords:
data science and analytics
data mining and data streams
visualization and user interfaces
deep learning/ machine learning
big data and internet of things
recommender systems
social network and media analysis

2-pages Short Paper Submission (All Categories) May 27, 2019
Notification of Acceptance July 19, 2019
Visa Desk Opens (for Accepted Authors) July 25, 2019
Deadline of Early-bird Registration August 9, 2019
Final Paper Submission August 9, 2019
GCCE 2019 October 15-18, 2019

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