[Event at CIG] Last Call for Paper: SIAM International Conference on Data Mining 2023, Minneapolis, MN

[Arianna Dagliati]

Dear Colleagues,

Below is the last found of Call for Paper for SIAM International Conference
on Data Mining (SDM) 2023.  A PDF version can be downloaded by this link
<https://drive.google.com/file/d/1IP3Z7o6VBPjzSKWlUgJCgqiVOBqrH2Mw/view?usp=sharing>
.

Submission Deadlines
*Abstract Submission*: September 30, 2022, 11:59pm (US Pacific time)
* Full Paper Submission*: October 7, 2022, 11:59pm (US Pacific time)
*Workshop Proposals*: October 14, 2022, 11:59pm (US Pacific time)
*Tutorial Proposals*: October 14, 2022, 11:59pm (US Pacific time)

Detailed submission information is posted on the website below:
https://www.siam.org/conferences/cm/conference/sdm23

SDM'23: THE 23nd SIAM INTERNATIONAL CONFERENCE ON DATA MINING

                 April 27 -- April 39, 2023

               Minneapolis, Minnesota

https://www.siam.org/conferences/cm/conference/sdm23

------------ CALL FOR CONTRIBUTIONS ------------

Abstract Submission: September 30, 2022, 11:59pm (US Pacific time)

Full Paper Submission: October 7, 2022, 11:59pm (US Pacific time)

Workshop Proposals: October 14, 2022, 11:59pm (US Pacific time)

Tutorial Proposals: October 14, 2022, 11:59pm (US Pacific time)


DESCRIPTION

------------------------------------------------------------

Data mining is the computational process for discovering valuable knowledge
from data – the core of Data Science. It has enormous application in
numerous fields, including science, engineering, healthcare, business, and
medicine. Typical datasets in these fields are large, complex, and often
noisy. Extracting knowledge from these datasets requires the use of
sophisticated, high-performance, and principled analysis techniques and
algorithms, which are based on sound theoretical and statistical
foundations. These techniques in turn require implementations on high
performance computational infrastructure that are carefully tuned for
performance. Powerful visualization technologies along with effective user
interfaces are also essential to make data mining tools appealing to
researchers, analysts, data scientists and application developers from
different disciplines, as well as usable by stakeholders.

The SDM conference provides a venue for researchers who are addressing
these problems to present their work in a peer-reviewed forum. It also
provides an ideal setting for graduate students to network and get feedback
for their work (as part of the doctoral forum) and everyone new to the
field to learn about cutting-edge research by hearing outstanding invited
speakers and attending presentations and tutorials (included with
conference registration). A set of focused workshops is also held on the
last day of the conference. The proceedings of the conference are published
in archival form and are also made available on the SIAM web site.

TOPICS OF INTEREST

------------------------------------------------------------

Methods and Algorithms

- Anomaly & Outlier Detection:

- Big Data & Large-Scale Systems

- Classification & Semi-Supervised Learning

- Clustering & Unsupervised Learning

- Data Cleaning & Integration

- Deep Learning & Representation Learning

- Feature Extraction, Selection and Dimensionality Reduction

- Mining Data Streams

- Mining Graphs & Complex Data

- Mining on Emerging Architectures & Data Clouds

- Mining Semi Structured Data

- Mining Spatial & Temporal Data

- Mining Text, Web & Social Media

- Online Algorithms

- Optimization Methods

- Parallel and Distributed Methods

- Pattern Mining

- Probabilistic & Statistical Methods

- Scalable & High-Performance Mining

- Other Novel Methods

Applications

- Astronomy & Astrophysics

- Automation & Process Control

- Climate / Ecological / Environmental Science

- Customer Relationship Management

- Data Science

- Drug Discovery

- Finance

- Genomics & Bioinformatics

- Healthcare Management

- High Energy Physics

- Intelligence Analysis

- Internet of Things

- Intrusion & Fraud detection

- Logistics Management

- Recommendation

- Risk Management

- Social Network Analysis

- Supply Chain Management

- Other Emerging Applications

Human Factors and Social Issues

- Ethics of Data Mining

- Intellectual Ownership

- Interestingness & Relevance

- Privacy and Fairness Models

- Privacy Preserving Data Mining

- Risk Analysis and Risk Management

- Transparency and Algorithmic Bias

- User Interfaces and Visual Analytics

- Other Human and Social Issues


WORKSHOPS AND TUTORIALS

------------------------------------------------------------

The conference will feature workshops and tutorials on several special
topics. Please see the SDM 2023 website for submission requirements.
Examples of workshops and tutorials are available through the SDM 2022
website at https://www.siam.org/conferences/cm/conference/sdm22


FOLLOW SDM

------------------------------------------------------------

https://twitter.com/SIAMDataMining

Twitter hashtag:

#SIAMSDM23

ORGANIZATION

------------------------------------------------------------

GENERAL CO-CHAIRS

Zhi-Hua Zhou

Nanjing University, China

Shashi Shekhar

University of Minnesota, USA

PROGRAM CO-CHAIRS

Yao-Yi Chiang

University of Minnesota, USA

Gregor Štiglic

University of Maribor, Slovenia

WORKSHOPS CO-CHAIRS

Ping Zhang

The Ohio State University, USA

Jelena Gligorijevic

Yahoo Research, USA

TUTORIALS CO-CHAIRS

Han-Jia Ye

Nanjing University, China

Sheng Li

University of Virginia, USA

DOCTORAL FORUM CO-CHAIRS

Miao Xu

Queensland University, Australia

Liyue Fan

University of North Carolina Charlotte, USA

PANEL CHAIR

Jaideep Srivastava

University of Minnesota, USA

PUBLICITY CO-CHAIRS

Zhe Jiang

University of Florida, USA

Yao-Xiang Ding

Zhejiang University, China

Arianna Dagliati

University of Pavia, Italy

AWARDS CHAIR

Hanghang Tong

Univ. Illinois Urbana Champaign, USA

PROCEEDINGS CO-CHAIRS

Jina Kim

University of Minnesota, USA

Primoz Kocbek

University of Maribor, Slovenia



-- 
Arianna Dagliati, PhD

Laboratory for Biomedical Informatics "Mario Stefanelli"
Department of Electrical, Computer and Biomedical Engineering
University of Pavia, Italy

e-mail: arianna.dagliati at unipv.it
http://www.labmedinfo.org/it/people/arianna-dagliati-phd/