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 The eXtensible
Markup Language (XML) has become a standard language for data
representation and exchange. With the continuous growth in XML data
sources, the ability to manage collections of XML documents and
discover knowledge from them for decision support becomes
increasingly important.
Mining of XML documents significantly differs from structured data
mining and text mining. XML allows the representation of
semi-structured and hierarchal data containing not only the values of
individual items but also the relationships between data items.
Element tags and their nesting therein dictate the structure of an
XML document. Due to the inherent flexibility of XML, in both
structure and semantics, discovering knowledge from XML data is faced
with new challenges as well as benefits. Mining of structure along
with content provides new insights and means into the process of
knowledge discovery.
Recognising
the increasing interest in XML mining, this workshop aims to provide
a stimulating forum for researchers in Pacific Asia and other regions
of the world to discuss new and interesting algorithms, applications
and issues of XML mining. The workshop will provide the opportunity
to debate new issues and directions for research and development work
in the future.
We
solicit papers with important new insights and experiences of mining
XML or semistructured data. Topics of interest include, but are not
limited to:
a)
XML or semistructured data mining algorithms and techniques
 XML
data classification
XML
data clustering
XML
data association
XML
data change detection
XML
tree mining
XML
schema matching/discovery
XML
approximate queries
b)
XML or semistructured data mining applications
XML
mining for bioinformatics
XML
mining for sensor and networking data
XML
mining in e-commerce, Web services and others
Convergence
of XML mining with information retrieval
Convergence
of XML mining with Semantic Web and Ontology
c)
XML or semistructured data mining emerging issues and challenges
Security
and privacy with XML data mining
Distributed
XML data mining
d)
Use of XML in data mining
e) Benchmarks and mining performance
using XML databases
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