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» Learning from Multiple Sources of Inaccurate Data
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ICDE
2007
IEEE
155views Database» more  ICDE 2007»
16 years 4 months ago
Collaborative Wrapping: A Turbo Framework for Web Data Extraction
To access data sources on the Web, a crucial step is wrapping, which translates query responses, rendered in textual HTML, back into their relational form. Traditionally, this pro...
Shui-Lung Chuang, Kevin Chen-Chuan Chang, ChengXia...
256
Voted
ICDE
2009
IEEE
140views Database» more  ICDE 2009»
16 years 5 months ago
Predicting Multiple Metrics for Queries: Better Decisions Enabled by Machine Learning
One of the most challenging aspects of managing a very large data warehouse is identifying how queries will behave before they start executing. Yet knowing their performance charac...
Archana Ganapathi, Harumi A. Kuno, Umeshwar Dayal,...
113
Voted
KBSE
2006
IEEE
15 years 9 months ago
Effective Generation of Interface Robustness Properties for Static Analysis
A software system interacts with its environment through system interfaces. Robustness of software systems are governed by various temporal properties related to these interfaces,...
Mithun Acharya, Tanu Sharma, Jun Xu, Tao Xie
139
Voted
KDD
2004
ACM
117views Data Mining» more  KDD 2004»
16 years 3 months ago
Predicting customer shopping lists from point-of-sale purchase data
This paper describes a prototype that predicts the shopping lists for customers in a retail store. The shopping list prediction is one aspect of a larger system we have developed ...
Chad M. Cumby, Andrew E. Fano, Rayid Ghani, Marko ...
147
Voted
SDM
2007
SIAM
176views Data Mining» more  SDM 2007»
15 years 4 months ago
Adaptive Concept Learning through Clustering and Aggregation of Relational Data
We introduce a new approach for Clustering and Aggregating Relational Data (CARD). We assume that data is available in a relational form, where we only have information about the ...
Hichem Frigui, Cheul Hwang