Tensor decompositions have become popular tools in data analysis. A typical application of tensor decompositions in KDD has been analysis of time-varying graphs, where every slice of the tensor represents one snapshot of the graph. Recently, though, tensor decomposition ideas have become more popular in a wider collection of topics, such as, Internet of Things, sensor arrays, or healthcare data.

The KDD 2019 Workshop on Tensor Methods for Emerging Data Science Challenges aims to bring together computer scientists, data scientist and domain scientists to explore how tensors can be used to solve these emerging problems. We invite submission covering novel tensor decomposition models, methods, algorithms or applications. The following is a non-exhaustive list of topics of interest:

• Novel models for tensor decompositions
• Novel algorithms for existing tensor decomposition models
• Tensor decompositions over other algebraic stuctures
• Novel ways of representing problems as tensor problems
• Tensors and IoT
• Tensors and sensors
• Tensors and healthcare
• Explainable and interpretable tensor decompositions

The submissions can be of any type (research paper, opinion paper, vision paper, demonstration of a system, white paper, work-in-progress report, etc.) Selected papers will be given either an oral presentation or a poster presentation.

Submission Guidelines

All papers must be formatted with the ACM proceedings style (using the intermin layout for Word or acmart class with sigconf option for LaTeX) and submitted as a PDF file. The main manuscript can be at most 9 pages long, including references and all tables and illustrations. Submissions can have optional supplementary sections, but the reviewers can ignore them during the review. 

The submissions must contain the author names and affiliations. 

The deadline for the submission is 5 May 2019. All submissions must be done via the Workshop's Easychair page.

Organizing Committee

• Ian Davidson, University of California, Davis
• Pauli Miettinen, University of Eastern Finland
• Vagelis Papalexakis, University of California, Riverside

Contact

All questions about submissions should be emailed to pauli.miettinen@uef.fi