Call For Papers: ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD-2010)
Call For Papers
The 16th ACM SIGKDD Conference on Knowledge Discovery and
Data Mining (KDD-2010) will be held on July 25-28, 2010 in Crystal
City, Washington, DC. The conference will include two refereed paper
tracks:
- the Research track, and
- the Industry & Government track
We invite high-quality papers reporting original research on all
aspects of knowledge discovery and data mining. We especially
encourage submissions that promote the advancement of KDD as a
scientific and engineering discipline and submissions that bridge
between different disciplines. Papers are rigorously evaluated based
on potential impact, novelty, repeatability and presentation.
Areas of interest include, but are not limited to:
- data mining algorithms (supervised, semi-supervised and unsupervised)
- data mining foundations and theory
- dimensionality reduction and feature selection
- mining dynamic and evolving data
- mining graph data
- mining semi-structured data
- mining spatial and temporal data
- mining stream data
- mixed-initiative data mining and active learning
- outlier analysis and anomaly detection
- parallel and distributed data mining algorithms
- pattern mining and association analysis
- robust and highly scalable data mining algorithms
- similarity search in data mining
- statistical methods in data mining
- topic models and matrix methods in data mining
- transfer learning and mining with auxiliary data sources
- adversarial data mining algorithms
- biological and medical data mining
- data mining for computational advertising
- data mining in social sciences and on social networks
- mining environmental and scientific data
- mining sensor data
- mining user behavioral and feedback data
- mining the Web and text data
- multimedia data mining
- data mining for other novel applications
- data integration and indexing for data mining
- data visualization for data mining
- KDD methodology and process
- platforms and systems for KDD
- pre-processing and post-processing in data mining
- security and privacy issues in data mining
- user modeling in data mining
All submitted papers will be judged based on their technical merit,
rigor, significance, originality, repeatability, relevance, and
clarity. Papers submitted to KDD 2010 should be original work, not
previously published in a peer-reviewed conference or journal.
Substantially similar versions of the paper submitted to KDD 2010
should not be under review in another peer-reviewed conference or
journal during the KDD 2010 reviewing period.
Repeatability guideline: Repeatability is a cornerstone of any
scientific and engineering endeavor. To promote a solid foundation
upon which future KDD work can be built, authors should make every
effort to make code available as open source, and to employ public
datasets, or make novel datasets available to the community. If this
is not possible, please include a justification to that effect.
Comparison to credible baseline systems and statistical significance
of experimental results are expected for all papers with empirical
evaluations.
Important Dates
- abstract due on: Feb 2, 2010
- paper due on: Feb 5, 2010
- acceptance notification: April 30, 2010
The Industrial/Government Applications Track of the 16th ACM SIGKDD
International Conference on Knowledge Discovery and Data Mining
(KDD-10) will highlight successful uses of KDD technology, including
deployed applications incorporating KDD technologies and discoveries
of valid, novel, understandable, and demonstrably useful patterns
from large datasets in industry and government. It will also include
papers that address challenges, lessons, concerns, and research
issues arising out of attempts, both successful and unsuccessful,
to deploy KDD technology for the solution of actual industry and
government problems.
The KDD-10 Industrial/Government Applications (I/G) Track seeks to:
- provide a forum for exchanging ideas between KDD practitioners, researchers, companies, and government organizations;
- help industrial and government organizations highlight successful KDD applications;
- raise interesting (research) challenges and other concerns more specific to industry and government -- customer privacy issues, analysis of data not generally available in academia, issues of scale that arise more heavily in a corporate setting, etc.
The I/G Applications Track solicits papers describing
implementations of KDD solutions relevant to industrial or
government settings. The primary emphasis is on papers that advance
the understanding of practical, applied, or pragmatic issues related
to the use of KDD technologies in industry and government and
highlight new research challenges arising from attempts to create
such real KDD applications. Applications can be in any field
including, but not limited to: e-commerce, medical and
pharmaceutical, defense, public policy, engineering, manufacturing,
telecommunications, and government.
The I/G Applications Track will consist of competitively-selected
contributed papers - presented in oral and/or poster form - as well
as invited talks. We envision submissions in three sub-areas.
Submitters should identify in which of these sub-areas their paper
should be evaluated.
- Deployed KDD case studies
- Discoveries of knowledge with demonstrable value to industry or government
- Emerging applications and technology, including challenges and issues arising from attempts to deploy KDD technology to solve specific industry or government problems
Deployed KDD case studies describe deployed projects with measurable
benefits that include KDD technology. These papers must clearly
describe the industry or Government problem that is solved, the
overall architecture of the deployed system, the data sources used,
the reasons for the choices of particular KDD technologies, how KDD
technologies solved the problem, the particular KDD process embodied
by the deployed application, the use and payoff of the application,
the costs to develop the application, the maintenance plan, and the
number and types of users.
Papers that describe discoveries of knowledge must clearly state
what data sources and background knowledge were used, what data
mining algorithms were tried, what overall KDD process was used,
what the new discovered knowledge is, how the new knowledge was
validated, and what the value to the industry or government is of
such newly discovered knowledge.
Emerging application and technology papers discuss prototype
applications, tools for focused domains or tasks, useful techniques
or methods, useful system architectures, scalability enablers, tool
evaluations, or integration of KDD with other technologies. Such
papers must clearly explain the requirements arising from the
particular industry or government setting for which the application
is being developed and from the particular databases on which the
application is based. These papers must also identify how the
emerging solution is using KDD technologies to address these
requirements, the deployment plan, and the evaluation methodology
and metrics for the emerging application. Pragmatic issues and
considerations include important practical and research
considerations, approaches, and architectures that enable successful
applications. This category may include comparative evaluations of
different KDD technologies for particular application problems.
Preferences will be given to papers whose insights may generalize to
other domains or problems. Product advertisements will not be
accepted.
A new feature of the I/G track this year is the inclusion of a video
forum, in which the accepted authors can optionally include a video
demonstration of their system. These videos will be posted online
for effective dissemination of the result. Authors of the I/G track
can optionally submit their videos at the time of paper submission
as well. Accepted papers can revise and improve their submitted
videos later.
Important Dates
- abstract due on: Feb 2, 2010
- paper due on: Feb 5, 2010
- acceptance notification: April 30, 2010
Labels: announcement, call for papers, cfp, conf, conference, conferences, KDD, research
posted by Bao Le Duc at
8:26 AM
<< Home