Tensor Methods for Emerging Data Science Challenges

A KDD 2019 Workshop      

    KDD 2019                 CFP                 Dates                Submission                 Keynotes                 Schedule                 Organization                 PC

Call For Papers: 2019 KDD Workshop on Tensor Methods for Emerging Data Science Challenges

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:

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.

The deadline for submitting the papers is May 19, 2019. The paper notifications will be sent by June 15, 2019. The workshop will be organized on August 4, 2019, in connection with KDD 2019 at Anchorage, Alaska. At least one author of the accepted papers must attend the workshop.

Dates

May 19, 2019 (The deadline for submitting the papers)

June 15, 2019 (The deadline for sending out paper notifications)

The workshop will be organized on August 4, 2019, in connection with KDD 2019 at Anchorage, Alaska.

Submission

Submission only allowed via EasyChair.

Format guidline

Keynotes

Schedule

Organization

Program Committee:

Ian Davidson, Professor (University of California, Davis)

Pauli Miettinen, Professor (University of Eastern Finland)

Vagelis Papalexakis, Assistant Professor (University of California, Riverside)

Gowtham Atluri, Asst. Professor (University of Cincinnati)

Zilong Bai, Ph.D. Candidate (University of California, Davis)

James Bailey, Professor (The University of Melbourne)

Jeffrey Chan, Senior Lecturer (equivalent to Assistant Professor) (RMIT University)

Dora Erdos, Lecturer & Undergraduate Program Director (Boston University)

Ekta Gujral, PhD Student (University of California, Riverside)

Joyce Ho, Assistant Professor (Emory University)

Kejun Huang, Assistant Professor (University of Florida)

Jiajia Li, Computer Scientist (Pacific Northwest National Laboratory)

Saskia Metzler, PhD Student (Max Planck Institute for Informatics)

Ioakeim Perros, Ph.D. Candidate (Georgia Institute of Technology)

Shaden Smith, PhD Candidate(University of Minnesota)