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» Effective Structural Inference for Large XML Documents
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DEXA
2004
Springer
190views Database» more  DEXA 2004»
14 years 1 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
14 years 1 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
14 years 1 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»
13 years 8 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»
13 years 7 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...