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» Applying a Data Miner To Heterogeneous Schema Integration
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DMKD
2004
ACM
133views Data Mining» more  DMKD 2004»
14 years 1 months ago
Mining complex matchings across Web query interfaces
To enable information integration, schema matching is a critical step for discovering semantic correspondences of attributes across heterogeneous sources. As a new attempt, this p...
Bin He, Kevin Chen-Chuan Chang, Jiawei Han
TMI
2008
109views more  TMI 2008»
13 years 7 months ago
Efficient Multilevel Brain Tumor Segmentation With Integrated Bayesian Model Classification
Abstract-- We present a new method for automatic segmentation of heterogeneous image data that takes a step toward bridging the gap between bottom-up affinity-based segmentation me...
Jason J. Corso, Eitan Sharon, S. Dube, Suzie El-Sa...
ADC
2007
Springer
124views Database» more  ADC 2007»
14 years 1 months ago
Interoperability for Geospatial Analysis: a Semantics and Ontology-based Approach
Information extraction and integration from heterogeneous, autonomous data resources are major requirements for many spatial applications. Geospatial analysis for scientific disco...
Zarine Kemp, Lei Tan, Jacqueline L. Whalley
ICDCS
2002
IEEE
14 years 19 days ago
A Fully Distributed Framework for Cost-Sensitive Data Mining
Data mining systems aim to discover patterns and extract useful information from facts recorded in databases. A widely adopted approach is to apply machine learning algorithms to ...
Wei Fan, Haixun Wang, Philip S. Yu, Salvatore J. S...
VLDB
2002
ACM
110views Database» more  VLDB 2002»
13 years 7 months ago
Extending an ORDBMS: The StateMachine Module
Extensibility is one of the mayor benefits of object-relational database management systems. We have used this system property to implement a StateMachine Module inside an object-...
Wolfgang Mahnke, Christian Mathis, Hans-Peter Stei...