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» Meaningful Change Detection in Structured Data
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DEXA
2005
Springer
118views Database» more  DEXA 2005»
13 years 11 months ago
Detecting Semantically Correct Changes to Relevant Unordered Hidden Web Data
Current proposals for XML change detection use structural constraints to detect the changes and they ignore semantic constraints. Consequently, they may produce semantically incorr...
Vladimir Kovalev, Sourav S. Bhowmick
ICMCS
2006
IEEE
91views Multimedia» more  ICMCS 2006»
13 years 11 months ago
Detecting Changes in User-Centered Music Query Streams
In this paper, we propose an efficient algorithm, called MQSchange (changes of Music Query Streams), to detect the changes of maximal melody structures in user-centered music quer...
Hua-Fu Li, Man-Kwan Shan, Suh-Yin Lee
AAAI
2007
13 years 8 months ago
UNDERTOW: Multi-Level Segmentation of Real-Valued Time Series
The discovery of meaningful change points, finding segments, in both categorical and real-value data time series is a well-studied problem. Prior segmentation algorithms and task...
Tom Armstrong, Tim Oates
DASFAA
2007
IEEE
138views Database» more  DASFAA 2007»
14 years 3 days ago
An Original Semantics to Keyword Queries for XML Using Structural Patterns
XML is by now the de facto standard for exporting and exchanging data on the web. The need for querying XML data sources whose structure is not fully known to the user and the need...
Dimitri Theodoratos, Xiaoying Wu
ICML
2007
IEEE
14 years 6 months ago
Modeling changing dependency structure in multivariate time series
We show how to apply the efficient Bayesian changepoint detection techniques of Fearnhead in the multivariate setting. We model the joint density of vector-valued observations usi...
Xiang Xuan, Kevin P. Murphy