International Workshop on
Knowledge Discovery in Web and Social Network Mining
with ACM KDD 2012,
August 12, 2012, Beijing, China
the field of Web and social network mining, more and more learning
tasks can easily acquire multiple data sets from various domains.
At the same time, the need for knowledge
transfer is increasingly evident as many new datasets, or parts of
data, are only very sparsely annotated. Different from traditional
single-domain learning problems based on the assumption that training
and test data are drawn from identical distribution, cross domain
learning problems are built on multiple domain data that may have
different degrees of relatedness to target tasks, offering an
opportunity to help one another. To better leverage multiple domain
data, mining and transferring of shared knowledge across multiple
domains is likely to become a crucial step in Web and social network
mining in the future.
Topics of Interest
issues to be addressed include but are not limited to:
domain social network analysis
domain natural language processing
domain learning on structure data
domain learning on stream data
domain learning on heterogeneous data
12, 2012: Due date for full papers
2012: Notification of acceptance
2012: Camera-ready of accepted papers
12, 2012: Workshop date
maximum of 8 pages in KDD-2012
paper submission site is here.
quality papers will be invited to IEEE
System Special Issue.