Call for Papers (CFP): SIAM Conference on Data Mining (SDM'16) Abstracts Due October 9th
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SDM Publicity Chairs
16 अग॰ 2015, 5:01:54 pm16/8/15
ईमेल पाने वाला SDM Publicity Chairs
SDM'16: THE SIXTEENTH SIAM INTERNATIONAL CONFERENCE ON DATA MINING
May 5 - May 7, 2016
Hilton Miami Downtown
Miami, Florida, USA
URL: http://www.siam.org/meetings/sdm16/
IMPORTANT DATES
Abstract Submission: October 9, 2015, 11:59pm (PDT)
Paper Submission: October 16, 2015, 11:59pm (PDT)
Workshop Proposals: October 9, 2015, 11:59pm (PDT)
Tutorial Proposals: October 9, 2015, 11:59pm (PDT)
Author Notification: December 21, 2015
Camera Ready Papers Due: January 25, 2016
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
• 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
The conference will feature workshops and tutorials on several special topics. Please see the SDM 2016 website for submission requirements. Examples of workshops and tutorials are available through the SDM 2015 website,http://www.siam.org/meetings/sdm15/
ORGANIZING COMMITTEE
STEERING COMMITTEE CHAIR
Srinivasan Parthasarathy, Ohio State University, USA
CONFERENCE CHAIRS
Carlotta Domeniconi, George Mason University, USA
Ke Wang, Simon Fraser University, Canada
PROGRAM CHAIRS
Sanjay Chawla, University of Sydney, Australia
Wagner Meira, Universidade Federal de Minas Gerais, Brazil
WORKSHOP CHAIRS
Tanya Berger-Wolf, University of Illinois, Chicago, USA
David Gleich, Purdue University, USA
TUTORIAL CHAIR
Tao Li, Florida International University, USA
DOCTORAL FORUM CHAIR
Mitsunori Ogihara, University of Miami, USA
PUBLICITY CHAIRS
B. Aditya Prakash, Virginia Tech, USA
Venu Satuluri, Twitter, USA
PANEL CHAIR
Wei Wang, University of California at Los Angeles, USA
SPONSORSHIP CHAIRS
Nitesh Chawla, University of Notre Dame, USA
Philip Kegelmeyer, Sandia National Laboratories, USA
May 5 - May 7, 2016
Hilton Miami Downtown
Miami, Florida, USA
URL: http://www.siam.org/meetings/sdm16/
IMPORTANT DATES
Abstract Submission: October 9, 2015, 11:59pm (PDT)
Paper Submission: October 16, 2015, 11:59pm (PDT)
Workshop Proposals: October 9, 2015, 11:59pm (PDT)
Tutorial Proposals: October 9, 2015, 11:59pm (PDT)
Author Notification: December 21, 2015
Camera Ready Papers Due: January 25, 2016
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
• 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
The conference will feature workshops and tutorials on several special topics. Please see the SDM 2016 website for submission requirements. Examples of workshops and tutorials are available through the SDM 2015 website,http://www.siam.org/meetings/sdm15/
ORGANIZING COMMITTEE
STEERING COMMITTEE CHAIR
Srinivasan Parthasarathy, Ohio State University, USA
CONFERENCE CHAIRS
Carlotta Domeniconi, George Mason University, USA
Ke Wang, Simon Fraser University, Canada
PROGRAM CHAIRS
Sanjay Chawla, University of Sydney, Australia
Wagner Meira, Universidade Federal de Minas Gerais, Brazil
WORKSHOP CHAIRS
Tanya Berger-Wolf, University of Illinois, Chicago, USA
David Gleich, Purdue University, USA
TUTORIAL CHAIR
Tao Li, Florida International University, USA
DOCTORAL FORUM CHAIR
Mitsunori Ogihara, University of Miami, USA
PUBLICITY CHAIRS
B. Aditya Prakash, Virginia Tech, USA
Venu Satuluri, Twitter, USA
PANEL CHAIR
Wei Wang, University of California at Los Angeles, USA
SPONSORSHIP CHAIRS
Nitesh Chawla, University of Notre Dame, USA
Philip Kegelmeyer, Sandia National Laboratories, USA
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