Overview
The 7th International Workshop on High Dimensional Data Mining (HDM 2019) is set to take place alongside the IEEE International Conference on Data Mining (IEEE ICDM 2019) from November 8-11, 2019, in Beijing, China. This workshop aims to foster discussions around the challenges and opportunities presented by high dimensionality in data mining, making it a significant event for researchers in the AI and machine learning community.
Background & Relevance
High dimensional data mining is a critical area of research, especially as the volume and complexity of data continue to grow. Understanding how to effectively manage and analyze high dimensional datasets is essential for developing robust machine learning models. This workshop seeks to explore various aspects of intrinsic dimensions and structures, which can lead to more efficient and reliable data mining techniques. The relevance of this workshop extends to numerous fields, including science, engineering, and business, where high dimensional data is prevalent.
Key Details
- Event: 7th International Workshop on High Dimensional Data Mining (HDM 2019)
- Conference: IEEE International Conference on Data Mining (IEEE ICDM 2019)
- Dates: November 8-11, 2019
- Location: Beijing, China
- Submission Deadline: Extended to August 16, 2019, at 23:59 Pacific Standard Time
- Notification of Acceptance: September 4, 2019
- Paper Length: Up to 8 pages, following IEEE ICDM format
- Publication: Accepted papers will be published by IEEE Computer Society Press
- More Information: Workshop Website
Eligibility & Participation
This workshop invites high-quality original submissions from researchers and practitioners in the field of data mining. It targets those interested in exploring the challenges associated with high dimensional data and the development of innovative solutions.
Submission or Application Guidelines
To submit a paper, authors should adhere to the following steps:
1. Prepare a manuscript that does not exceed 8 pages, formatted according to IEEE ICDM guidelines.
2. Submit the paper by the extended deadline of August 16, 2019.
3. Await notification of acceptance by September 4, 2019.
Additional Context / Real-World Relevance
The exploration of high dimensional data mining is increasingly important as industries rely on complex datasets for decision-making. Techniques that address the challenges of high dimensionality can lead to advancements in various applications, from scientific research to business analytics. This workshop serves as a platform for sharing insights and methodologies that can enhance data mining practices.
Conclusion
Researchers and practitioners are encouraged to take part in this workshop by submitting their papers and contributing to the discourse on high dimensional data mining. This is an excellent opportunity to share findings, collaborate, and advance the field. Explore the workshop details and prepare your submissions to be part of this important event.
Category: CFP & Deadlines
Tags: data mining, high dimensional data, machine learning, intrinsic dimension, IEEE ICDM, dimensionality reduction, classification, clustering, visualization
