Track 1: Data Science and Its Foundations

• Foundational Theories for Data Science

• Theoretical Models for Big Data

• Foundational Algorithms and Methods for Big Data

• Interdisciplinary Theories and Models for Smart Data

• Data Classification and Taxonomy

• Data Metrics and Metrology

Track 2: Big Data Infrastructure and Systems

• Cloud/Cluster Computing for Big Data

• Programming Models/Environments for Cluster/Cloud Computing

• High Performance/Throughtput Platforms for Big Data Computing

• Parallel Computing for Big Data

• Open Source Big Data Systems (e.g., including Hadoop, Spark, Flink and Storm)

• System Architecture and Infrastructure of Big Data

• New Programming Models for Big Data beyond Hadoop/MapReduce

• Big Data Appliance

• Big Data Ecosystems

Track 3: Big Data Storage and Management

• Big Data Collection, Transformation and Transmission

• Big Data Integration and Cleaning

• Uncertainty and Incompleteness Handling in Big Data/Smart Data

• Quality Management of Big Data/Smart Data

• Big Data Storage Models

• Query and Indexing Technologies

• Distributed File Systems

• Distributed Database Systems

• Large-Scale Graph/Document Databases

• NewSQL/NoSQL for Big Data

Track 4: Big Data Processing and Analytics

• Smart Data Search, Mining and Drilling from Big Data

• Semantic Integration and Fusion of Multi-Source Heterogeneous Big Data

• In-Memory/Streaming/Graph-Based Computing for Big Data/Smart Data

• Brain-Inspired/Nature-Inspired Computing for Big Data/Smart Data

• Distributred Representation Learning of Smart Data

• Machine Learning/Deep Learning for Big Data/Smart Data

• Applications of Conventional Theories (e.g., Fuzzy Set, Rough Set, and Soft Set) in Big Data

• New Models, Algorithms, and Methods for Big/Smart Data Processing and Analytics

• Exploratory Data Analysis

• Visualization Analytics for Big Data

• Big Data Based Prediction Methods

• Big Data Aided Decision-Marking

Track 5: Big/Smart Data Applications

• Big/Smart Data Applications in Science, Internet, Finance, Telecommunictions, Business, Medicine, Healthcare, Government, Transportation, Industry, Manufacture

• Big/Smart Data Applications in Government and Public Sectors

• Big/Smart Data Applications in Enterprises

• Security, Privacy and Trust in Big Data

• Big Data Opening and Sharing

• Big Data Exchange and Trading

• Data as a Service (DaaS)

• Standards for Big/Smart Data

• Case Studies of Big/Smart Data Applications

• Practices and Experiences of Big Data Project Deployments

• Ethic Issues about Big Data Applications