Big Data Mining (KDD BigMine-18)
The 7th International Workshop on Big Data on Streams and Heterogeneous Source Mining - A KDD2018 Workshop
KDD2018 Conference Dates: August 19-23, 2018
Workshop Date: Aug 20, 2018
London, United Kingdom
The goal of the workshop is to provide a forum to discuss important research questions and practical challenges in big data mining and related areas. Novel ideas, controversial issues, open problems and comparisons of competing approaches are strongly encouraged. Representation of alternative viewpoints and discussions are also strongly encouraged.
We invite submission of papers describing innovative research on all aspects of big data mining. Work-in-progress papers, demos, and visionary papers are also welcome.
Papers emphasizing theoretical foundations, algorithms, systems, applications, language issues, data storage and access, architecture are particularly encouraged.
Examples of topics of interest include
- Scalable, Distributed and Parallel Algorithms
- Designing lightweighted data mining algorithm
- New Programming Model for Large Data beyond Hadoop/MapReduce, STORM, streaming languages
- Federated training using data from multiple devices
- Mining Algorithms of Data in non-traditional formats (unstructured, semi-structured)
- Applications: social media, Internet of Things, Smart Grid, Smart Transportation Systems
- Streaming Data Processing
- Heterogeneous Sources and Format Mining
- Privacy issues of on-device user data
- Systems Issues related to large datasets: clouds, streaming system, architecture, and issues beyond cloud and streams.
- System and platform for on-device learning
- Interfaces to database systems and analytics.
- Evaluation Technologies
- Integrating the design of human computer interaction with machinelearning algorithms
- Visualization for Big Data
- Applications: Large scale recommendation systems, social media systems, social network systems, scientific data mining, environmental, urban and other large data mining applications.
Submitted papers will be assessed based on their novelty, technical quality, potential impact, and clarity of writing. For papers that rely heavily on empirical evaluations, the experimental methods and results should be clear, well executed, and repeatable. Authors are strongly encouraged to make data and code publicly available whenever possible.
More details on submission: https://bigmine.github.io/bigmine18/submission.html
- Paper Submission deadline:
May 18May 27, 2018, 23:59PM Pacific Standard Time
- Acceptance notification: June 18, 2018
- Workshop: August 20, 2018
- Albert Bifet, Telecom-ParisTech
- Inderjit Dhillon, University of Texas at Austin
- Wei Fan, Baidu Research Big Data Lab
- Marwan Hassani, Eindhoven University of Technology
- Cho-Jui Hsieh, University of California, Davis
- Sanjiv Kumar, Google Research
- Yang Li, Google Research
- Jesse Read, Ecole Polytechnique
- Si Si, Google Research
- Philip Yu, University of Illinois at Chicago
- Qiang Yang, Hong Kong University of Science and Technology