[Event at CIG] SIAM SDM 2022: Call for Research Papers, Tutorial and Workshop

[SIAM SDM Publicity Chairs]

*SDM'22: THE 22nd SIAM INTERNATIONAL CONFERENCE ON DATA MINING*
April 28 -- April 30, 2022

*Alexandria Old Town, Virginia, USA*


https://www.siam.org/conferences/cm/conference/sdm22


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


Full Paper Submission: October 12, 2021, 11:59pm (US Pacific time) - No
abstract submission, directly the full paper!

Submission of Workshop Proposals: October 15, 2021 11:59pm (US Pacific time)

Tutorial Proposals: October 15, 2021, 11:59pm (US Pacific time)


DESCRIPTION

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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

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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

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The conference will feature workshops and tutorials on several special
topics. Please see the SDM 2022 website for submission requirements.
Examples of workshops and tutorials are available through the SDM 2021
website at https://www.siam.org/conferences/cm/conference/sdm21


FOLLOW SDM

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https://twitter.com/SIAMDataMining

Twitter hashtag: #SIAMSDM22