posted by user: lemanakoglu || 31458 views || tracked by 264 users: [display]

SDM 2015 : THE FIFTEENTH SIAM INTERNATIONAL CONFERENCE ON DATA MINING

FacebookTwitterLinkedInGoogle


Conference Series : SIAM International Conference on Data Mining
 
Link: http://www.siam.org/meetings/sdm15/
 
When Apr 30, 2015 - May 2, 2015
Where Vancouver, British Columbia, Canada
Abstract Registration Due Oct 5, 2014
Submission Deadline Oct 12, 2014
Notification Due Dec 22, 2014
Categories    data mining   knowledge discovery   pattern recognition   machine learning
 

Call For Papers

SDM 2015: THE FIFTEENTH SIAM INTERNATIONAL CONFERENCE ON DATA MINING
 
Note: There is an abstract deadline this year--October 5, 2014 (More details can be found as follows). 
 
Renaissance Vancouver Harbourside Hotel
Vancouver, British Columbia, Canada
April 30 – May 02, 2015
URL: http://www.siam.org/meetings/sdm15/
 
IMPORTANT DATES 
 
Abstract Submission: October 5, 2014, 11:59pm (MDT)
Paper Submission: October 12, 2014, 11:59pm (MDT)
Workshop Proposals: October 5, 2014, 11:59pm (MDT)
Tutorial Proposals: October 12, 2014, 11:59pm (MDT)
Author Notification: December 22, 2014

DESCRIPTION
 
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
 
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
- 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
- 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 & Social Issues 
 
WORKSHOPS AND TUTORIALS 
 
The conference will feature workshops and tutorials on several special topics. Please see the SDM 2015 website for submission requirements. Examples of workshops and tutorials are available through the SDM 2014 website, http://www.siam.org/meetings/sdm14/
 
ORGANIZING COMMITTEE
 
STEERING COMMITTEE CHAIR
Srinivasan Parthasarathy, Ohio State University
 
GENERAL CHAIRS
Ke Wang, Simon Fraser University
Mohammed Zaki, Rensselaer Polytechnic Institute
 
PROGRAM CHAIRS
Suresh Venkatasubramanian, University of Utah
Jieping Ye, Arizona State University
 
WORKSHOP CHAIRS
Xiaoli Fern, Oregon State University
Xifeng Yan, University of California Santa Barbara
 
TUTORIAL CHAIR
Tao Li, Florida International University

DOCTORAL FORUM CHAIR
Anoop Sarkar, Simon Fraser University
 
PUBLICITY CHAIRS
Leman Akoglu, Stony Brook University
Mohammad Al Hasan, Indiana University-Purdue University Indianapolis
 
SPONSORSHIP CHAIRS
Nitesh Chawla, University of Notre Dame
Fred Popowich, Simon Fraser University
 

Related Resources

SDM 2017   SDM'17: the Seventeenth SIAM International Conference on Data Mining
DSAA 2017   The 4th IEEE International Conference on Data Science and Advanced Analytics 2017
ADAH 2017   Advanced Data Analytics in Health
ACML 2017   The 9th Asian Conference on Machine Learning
ICDM 2017   IEEE International Conference on Data Mining 2017
WSDM 2018   The 11th ACM International Conference on Web Search and Data Mining
IEEE Big Data 2017   2017 IEEE International Conference on Big Data
ICPR 2018   24th International Conference on Pattern Recognition
data-driven 2017   Special Issue on “Data-Driven User Behavioral Modeling: From Real-World Behavior to Knowledge, Algorithms, and Systems”
ICONIP 2017   International Conference on Neural Information Processing