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» A Semi-monad for Semi-structured Data
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ICML
2002
IEEE
14 years 5 months ago
Kernels for Semi-Structured Data
Semi-structured data such as XML and HTML is attracting considerable attention. It is important to develop various kinds of data mining techniques that can handle semistructured d...
Hisashi Kashima, Teruo Koyanagi
KDD
1998
ACM
159views Data Mining» more  KDD 1998»
13 years 8 months ago
A Robust System Architecture for Mining Semi-Structured Data
The value of extracting knowledge from semi-structured data is readily apparent with the explosion of the WWW and the advent of digital libraries. This paper proposes a versatile ...
Lisa Singh, Bin Chen, Rebecca Haight, Peter Scheue...
DASFAA
2003
IEEE
142views Database» more  DASFAA 2003»
13 years 9 months ago
GLASS: A Graphical Query Language for Semi-Structured Data
The increase in the use of XML (eXtensible Markup Language) makes the semistructured data more and more important on the Web. To exploit the full power of XML documents, a query l...
Wei Ni, Tok Wang Ling
IDEAS
2000
IEEE
117views Database» more  IDEAS 2000»
13 years 8 months ago
Path Query Reduction and Diffusion for Distributed Semi-Structured Data Retrieval
I n this paper, we address the problem of query processing o n distributed semi-structured data. The distributed semistructured data can be modeled as a rooted and edge-labeled gr...
Jaehyung Lee, Yon Dohn Chung, Myoung-Ho Kim
BNCOD
2007
151views Database» more  BNCOD 2007»
13 years 5 months ago
Compressed Materialised Views of Semi-Structured Data
Query performance issues over semi-structured data have led to the emergence of materialised XML views as a means of restricting the data structure processed by a query. However p...
Richard Gourlay, Brian Tripney, John N. Wilson