CFP: SIAM Conference on Data Mining (SDM'17) - Abstracts due October 8

[SDM Publicity Chairs]

SDM'17: THE SEVENTEENTH SIAM INTERNATIONAL CONFERENCE ON DATA MINING



April 27 - April 29, 2017

The Westin Galleria Houston

Houston, Texas, USA

www.siam.org/meetings/sdm17/



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

Abstract Submission: October 8, 2016, 11:59pm (PDT)

Full Paper Submission: October 15, 2016, 11:59pm (PDT)

Workshop Proposals: October 8, 2016, 11:59pm (PDT)

Tutorial Proposals: October 8, 2016, 11:59pm (PDT)

FOLLOW SDM

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https://twitter.com/SIAMDataMining

https://www.facebook.com/events/475483799321188/


DESCRIPTION

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Data mining is the computational process for discovering valuable knowledge
from data. 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, and application developers from
different disciplines.

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 and others 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.



THEMES AND TOPICS OF INTEREST

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Methods and Algorithms

•    Classification

•    Clustering

•    Frequent Pattern Mining

•    Probabilistic & Statistical Methods

•    Graphical Models

•    Spatial & Temporal Mining

•    Data Stream Mining

•    Anomaly & Outlier Detection

•    Feature Extraction, Selection and Dimension Reduction

•    Mining with Constraints

•    Data Cleaning & Preprocessing

•    Computational Learning Theory

•    Multi-Task Learning

•    Online Algorithms

•    Big Data, Scalable & High-Performance Computing Techniques

•    Mining with Data Clouds

•    Mining Graphs

•    Mining Semi-Structured Data

•    Mining Complex Datasets

•    Mining on Emerging Architectures

•    Text & Web Mining

•    Optimization Methods

•    Other Novel Methods

Applications

•    Astronomy & Astrophysics

•    High Energy Physics

•    Collaborative Filtering

•    Recommender Systems

•    Climate / Ecological / Environmental  Science

•    Risk Management

•    Supply Chain Management

•    Customer Relationship Management

•    Finance

•    Genomics & Bioinformatics

•    Drug Discovery

•    Healthcare Management

•    Automation & Process Control

•    Logistics Management

•    Intrusion & Fraud detection

•    Bio-surveillance

•    Sensor Network Applications

•    Social Network Analysis

•    Educational Data Mining

•    Intelligence Analysis

•    Other Novel Applications & Case Studies

Human Factors and Social Issues

•    Ethics of Data Mining

•    Intellectual Ownership

•    Privacy Models

•    Privacy Preserving Data Mining & Data Publishing

•    Risk Analysis

•    User Interfaces

•    Interestingness & Relevance

•    Data & Result Visualization

•    Other Human Factors 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 2017 website for submission requirements.
Examples of workshops and tutorials are available through the SDM 2016
website, http://www.siam.org/meetings/sdm16/



ORGANIZING COMMITTEE

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STEERING COMMITTEE CHAIR

Srinivasan Parthasarathy, Ohio State University, USA

CONFERENCE CO-CHAIRS

Carlotta Domeniconi, George Mason University, USA

Dimitrios Gunopulos, University of Athens, Greece

PROGRAM CO-CHAIRS

Nitesh Chawla, University of Notre Dame, USA

Wei Wang, University of California, Los Angeles, USA

WORKSHOP CO-CHAIRS

Leman Akoglu, Stony Brook University, The State University of New York, USA

Arthur Zimek, University of Southern Denmark, Denmark

TUTORIAL CHAIR

Jilles Vreeken, Saarland University and Max Planck Institute for
Informatics, Germany

DOCTORAL FORUM CHAIR

Shuiwang Ji, Washington State University, USA

PUBLICITY CO-CHAIRS

Danai Koutra, University of Michigan, USA

Matthijs van Leeuwen, Leiden University, the Netherlands

Panagiotis Papapetrou, Stockholm University, Sweden

PANEL CHAIR

Chris Jermaine, Rice University, USA

SPONSORSHIP CO-CHAIRS

James Faghmous, Icahn School of Medicine, Mount Sinai, USA

Jiliang Tang, Yahoo Research, USA

AWARDS CHAIR

Zoran Obradovic, Temple University, USA
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