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» Effective Structural Inference for Large XML Documents
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DEXA
2004
Springer
190views Database» more  DEXA 2004»
15 years 5 months ago
On Efficient and Effective Association Rule Mining from XML Data
: In this paper, we propose a framework, called XAR-Miner, for mining ARs from XML documents efficiently and effectively. In XAR-Miner, raw XML data are first transformed to either...
Ji Zhang, Tok Wang Ling, Robert M. Bruckner, A. Mi...
CBMS
2006
IEEE
15 years 5 months ago
Tracking Changes in Healthcare Documents
We present methods for monitoring a large, diverse, and autonomously modified collection of healthcare documents on the Web. Our methods do not require documentproviders to offer...
Sudarshan S. Chawathe
INEX
2005
Springer
15 years 5 months ago
A Flexible Structured-Based Representation for XML Document Mining
This paper reports on the INRIA group’s approach to XML mining while participating in the INEX XML Mining track 2005. We use a flexible representation of XML documents that allo...
Anne-Marie Vercoustre, Mounir Fegas, Saba Gul, Yve...
CORR
2008
Springer
98views Education» more  CORR 2008»
14 years 11 months ago
An Experimental Investigation of XML Compression Tools
This paper presents an extensive experimental study of the state-of-the-art of XML compression tools. The study reports the behavior of nine XML compressors using a large corpus o...
Sherif Sakr
DKE
2006
139views more  DKE 2006»
14 years 11 months ago
Information extraction from structured documents using k-testable tree automaton inference
Information extraction (IE) addresses the problem of extracting specific information from a collection of documents. Much of the previous work on IE from structured documents, suc...
Raymond Kosala, Hendrik Blockeel, Maurice Bruynoog...