KDBD-2022

INTRODUCTION

In the big data era, with the enrichment of data collection and description measures, a wide array of data in various formats are collected much easier than before. It is significant to discover the knowledge hidden in the mass by comprehensive understanding and learning to realize the data intelligence, which can help human in various dimensions, such as intelligent decisions and predictive services. However, the volume, heterogeneous, low-quality and multimodal characteristics of the collected data pose great challenges to the design of knowledge discovery methods. Therefore, this workshop aims to provide a forum to present the state-of-the-art advancements on knowledge discovery for big data, which include related surveys, algorithms, platforms, systems and applications.

Call for Papers pdf

The topics include but not limited to:

Acquisition, transmission, storage, index and visualization for big data

Innovative methods for big data analytics

Multimodal data fusion

Cross-modal reasoning and retrieval

Domain adaption and transfer learning

Zero-shot and few-shot learning

Deep learning and reinforcement learning

Graph learning

Knowledge graph reasoning and completion

Recommendation system

Knowledge tracing

Multiscale big data computing

Biomedical big data computing

Bioinformatics quantitative structure-activity relationship model

Natural language processing

Parallel, accelerated, and distributed algorithms and frameworks for big data

Security, privacy and trust in big data

Big data in Internet of Things

Methods for academic, traffic, medical, financial, social media and judicial big data

Other methods, models, architectures and applications related to big data

IMPORTANT DATES

Paper submission deadline: June 1, 2022

Acceptance Notification: July 1, 2022

Paper Submission

Authors are invited to submit their original research work that has not previously been submitted or published in any other venue. Regular, work-in-progress (WiP), workshop/special session, and poster papers need to be submitted via Easychair: ( link )

Papers should be prepared in IEEE CS Proceedings format. IEEE formatting information: ( link )

All accepted papers will be published in an IEEE Computer Society proceedings (IEEE-DL and EI indexed). Best Paper Awards will be presented to high quality papers. Selected papers will be recommended to prestigious journal Special Issues.

Some papers originally submitted as full papers can be accepted as short papers or posters during the review process. In such cases, the authors will need to reduce the paper accordingly when preparing the camera-ready version. At least one of the authors of any accepted paper is requested to register and present the paper at the conference. Ps: Log on the system and choose the Track of International Workshop on Knowledge Discovery for Big Data.

Our special issue "Few-Shot Learning for Knowledge Engineering and Intellectual System" is online now. You can check the information at:
https://www.mdpi.com/journal/information/special_issues/intellectual_system

Selected papers will be invited to submit an extended version to
1.Mathematics ( SI: Recent Advances in Artificial Intelligence and Machine Learning )
2.Electronics ( SI: Big Data Analysis Based Network ).

Committees

Organizing Chair

Ruixin Ma, Dalian University of Technology, China

Organizing Co-Chair

Xu Yuan, Dalian University of Technology, China

Suhua Zhang，University of British Columbia，Canada

Haozhe Wang, University of Exeter, UK

Program Committee Chair

Liang Zhao, Dalian University of Technology, China

Xiaodi Huang, Charles Sturt University, Australia

Yujia Zhu, University of Exeter, UK

Shuo Yu, King Abdullah University of Science and Technology, SA

Fangming Zhong, Dalian University of Technology, China

International Committee Chair

Shi Chen, The Hong Kong University of Science and Technology, China

Xu Zhang, Simon Fraser University, Canada

Han Xu, University of Exeter, UK

Advisory Chair

Zhikui Chen, Dalian University of Technology, China

Calabria

Welcome to Calabria, a city close to Sicily and in the middle of the Mediterranean Sea. It has not only 700 kilometers of coastline, clear sea, soft sand beach, all kinds of delicious seafood, but also continuous mountains, hills and dense forests.
In addition to the coastal tourist destinations, the interior of Calabria is rich in history, traditions, art and culture. Medieval castles, towers, churches, monasteries and other French castles and structures from the Norman to the Aragonese periods are common elements in both the interior and coastline of Calabria.

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