Discovering Drift Phenomena in Evolving Landscape (DELTA 2024)
Workshop at ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2024), August 26, 2024 - Barcelona, Catalonia (Spain)
Organisers
Dr. Marco Piangerelli
Dr. Bardh Prenkaj
Ylenia Rotalinti
Ananya Joshi
Prof. Giovanni Stilo
Table of contents
- Aims and Scope
- Important Dates
- Topics of Interests
- Registration and Presentation Policy
- Submission and Publication
Aims and Scope
In today’s rapidly evolving landscape, integrating automated systems into daily tasks are the primary objectives for both industry and academia. However, a challenge arises as these systems often struggle to adapt to the continuous evolution of the world. Despite recent attention on the term ‘distribution drift’ to describe this continuous evolution.
This overarching term conflates data drift and concept drift lead to misunderstanding in research and practitioner communities. To bridge the gap, the DELTA workshop fosters collaboration between academia and industry to clarify evolving landscape challenges and develop practical solutions. We invite authors to submit unpublished, original papers addressing the complexities faced by current state-of-the-art techniques in detecting, predicting, and analyzing drift phenomena in real-world domains.
Important Dates
- Abstract Submissions: May 21st, 2024
- Paper Submissions: May 28th, 2024
- Notifications: June 28th, 2024
- Camera-Ready: July 2nd, 2024
- Workshop: August 26th, 2024
All deadlines are 11:59 pm, Pacific Time.
Topics
DELTA Workshop welcomes research and perspective contributions on all topics related to drift in evolving landscapes across domains (e.g., finance, business, basic sciences, construction computational advertising, IoT, etc.) and independent of data types (e.g., networks, tabular, unstructured, graphs, logs, spatiotemporal, multimedia, time series, genomic sequences, and streaming data.):
- Online and Incremental Learning
- (Self-)Adaptive Systems
- Human-in-the-Loop Learning
- Uncertainty Quantification for Drift Learning
- Drift Detection, Prediction, and Analysis
- Process Mining for evolving environments
- Process Drift Analysis
- Drift Explanation
Submission and Publication
All submissions must be written in English and submitted electronically in a PDF format, through the CMT submission system:
Submissions must follow the guidelines of the Communications in Computer and Information Science (CCIS) series by Springer-Verlag here found at: https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines.
The submission must also be anonymized; authors must omit their names and affiliations from submissions and avoid obvious identifying statements (e.g., citations to the author’s own prior work should be made in the third person). Finally, the submission must not be currently under review at another publication venue. Failure to adhere to policies will result in desk rejection.
We strongly recommend using the LaTeX CCIS template and providing paper code and data in an Anonymous GitHub repository https://anonymous.4open.science/.
We encourage three types of submissions (reviewers will comment on whether the size is appropriate for each contribution):
- Full papers (up to 12 pages) should concern the state of the art and state the proposal's contribution in the application domain, even if they present preliminary results. In particular, research papers should describe the methodology in detail, experiments should be repeatable, and approaches should be compared with those in the literature.
- Reproducibility/Replicability papers (up to 12 pages) should repeat prior experiments using the original source code and datasets to show how, why, and when the methods work or not (replicability papers) or should repeat prior experiments, preferably using the original source code in new contexts (e.g., different domains and datasets, different evaluation and metrics) to generalize further and validate or not previous work (reproducibility papers).
- Short or position papers (up to 6 pages) should introduce new points of view on the workshop topics or summarize a group's experience in the field. Practice and experience reports must detail real-world scenarios in which drifts are managed.
Originality and Concurrent Submissions. Submissions must present original work—this means that papers under review at or published/accepted to any peer-reviewed conference/journal with published proceedings cannot be submitted. Submissions that have been previously presented orally, as posters or abstracts-only, or in non-archival venues with no formal proceedings, including workshops or PhD symposia without proceedings, are allowed. Authors may submit anonymized work that is already available as a preprint (e.g., on arXiv or SSRN) without citing it. The ACM has a strict policy against plagiarism, misrepresentation, and falsification that applies to all publications.
Ethical Use of Data and Informed Consent. Authors are encouraged to include a section on the ethical use of data and/or informed consent of research subjects in their paper, when appropriate. You and your co-authors are subject to all ACM Publications Policies, including ACM’s Publications Policy on Research Involving Human Participants and Subjects (posted in 2021). Please ensure all authors are familiar with these policies.
Please consult the regulations of your institution(s) indicating when a review by an Institutional Ethics Review Board (IRB) is needed. Note that submitting your research for approval by such may not always be sufficient. Even if such research has been approved by your IRB, the program committee might raise additional concerns about the ethical implications of the work and include these concerns in its review.
Submissions that do not follow these guidelines or do not view or print properly, will be desk-rejected.
Registration and Presentation Policy
The workshop will be held in person. Each accepted workshop paper must be accompanied by at least one distinct full author registration, completed by the early registration date cut-off. Each accepted workshop paper must be presented in person.
The Main Conference organization team will manage the registration: https://kdd2024.kdd.org/registration/
Contacts
For general inquiries about the workshop, please email marco.piangerelli@unicam.it, prenkaj@di.uniroma1.it, ylenia.rotalinti@mhra.gov.uk, aajoshi@andrew.cmu.edu, and giovanni.stilo@univaq.it.