Overview
The upcoming Workshop on Intelligible Data Mining models for Bioinformatics and Chemoinformatics (IntDMBC 2019) will take place as part of the IEEE International Conference on Data Mining (ICDM) 2019 in Beijing, China. This workshop aims to foster discussions and knowledge sharing among researchers on the importance of intelligible data mining models in scientific applications, particularly in the life sciences and chemistry.
Background & Relevance
Data mining has proven invaluable across various fields, yet its application in scientific domains often requires not just high accuracy but also interpretability. In areas like bioinformatics and chemoinformatics, understanding the underlying phenomena that generate data is crucial. This workshop seeks to address the need for symbolic data mining algorithms and techniques that can provide explanations, enhancing the ability of experts to interpret and utilize data effectively.
Key Details
- Workshop Name: Intelligible Data Mining models for Bioinformatics and Chemoinformatics (IntDMBC 2019)
- Conference: IEEE ICDM 2019
- Location: Beijing, China
- Date: November 8, 2019
- Submission Deadline: August 17, 2019 (extended)
- Acceptance Notification: September 4, 2019
- Camera-Ready Deadline: September 8, 2019
- Submission Link: Cyberchair Submission
Eligibility & Participation
The workshop invites contributions from researchers and practitioners who are working on symbolic machine learning and data mining techniques, particularly those applicable to bioinformatics and chemoinformatics. Participants will have the opportunity to share their findings and engage in meaningful discussions on the extraction of intelligible knowledge from complex data.
Submission or Application Guidelines
Authors are encouraged to submit original research papers that have not been published or are under review elsewhere. Papers should adhere to the IEEE ICDM Proceedings Author Guidelines, with a maximum length of 10 pages, including references, figures, tables, and appendices. The camera-ready version must be limited to 8 pages, although two additional pages may be allowed for a fee. All submissions will undergo a blind review process by three program committee members.
Additional Context / Real-World Relevance
The focus on intelligible data mining is increasingly relevant in today’s data-driven world. As data becomes more complex, the ability to derive understandable insights is essential for scientific advancement. This workshop aligns with the growing emphasis on transparency and interpretability in machine learning, particularly in critical fields like healthcare and environmental science.
Conclusion
Researchers and practitioners interested in the intersection of data mining and scientific inquiry are encouraged to participate in this workshop. It presents a valuable opportunity to contribute to the discourse on intelligible data mining and its applications in bioinformatics and chemoinformatics. Explore this opportunity to share your work and engage with peers in the field.
Category: CFP & Deadlines
Tags: data mining, bioinformatics, chemoinformatics, symbolic machine learning, IEEE ICDM, workshop, research, knowledge extraction
