LIS 2010 - KDD 2010 16th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

Website http://www.kdd.org/kdd2010/ | Edit Freely

Category LIS 2010

Deadline: February 02, 2010 | Date: June 21, 2010

Venue/Country: Washington, U.S.A

Updated: 2010-06-04 19:32:22 (GMT+9)

Call For Papers - CFP

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