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» Discovering Classification from Data of Multiple Sources
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ICDE
2006
IEEE
166views Database» more  ICDE 2006»
14 years 9 months ago
WebIQ: Learning from the Web to Match Deep-Web Query Interfaces
Integrating Deep Web sources requires highly accurate semantic matches between the attributes of the source query interfaces. These matches are usually established by comparing th...
Wensheng Wu, AnHai Doan, Clement T. Yu
CAISE
2007
Springer
14 years 1 months ago
A Context-based Approach for Complex Semantic Matching
Semantic matching1 is a fundamental step in implementing data sharing applications. Most systems automating this task however limit themselves to finding simple (one-to-one) match...
Youssef Bououlid Idrissi, Julie Vachon
HPCA
2012
IEEE
12 years 3 months ago
Pacman: Tolerating asymmetric data races with unintrusive hardware
Data races are a major contributor to parallel software unreliability. A type of race that is both common and typically harmful is the Asymmetric data race. It occurs when at leas...
Shanxiang Qi, Norimasa Otsuki, Lois Orosa Nogueira...
KDD
2005
ACM
161views Data Mining» more  KDD 2005»
14 years 8 months ago
Combining email models for false positive reduction
Machine learning and data mining can be effectively used to model, classify and discover interesting information for a wide variety of data including email. The Email Mining Toolk...
Shlomo Hershkop, Salvatore J. Stolfo
RAID
1999
Springer
13 years 12 months ago
Anomaly Intrusion Detection Systems: Handling Temporal Relations Between Events
Lately, many approaches have been developed to discover computer abuse. Some of them use data mining techniques to discover anomalous behavior in audit trail, considering this beh...
Alexandr Seleznyov, Seppo Puuronen