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» Evaluating Ontology Cleaning
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CLEANDB
2006
ACM
185views Database» more  CLEANDB 2006»
14 years 1 months ago
In-network Outlier Cleaning for Data Collection in Sensor Networks
Outliers are very common in the environmental data monitored by a sensor network consisting of many inexpensive, low fidelity, and frequently failed sensors. The limited battery ...
Yongzhen Zhuang, Lei Chen 0002
SIGMOD
2003
ACM
119views Database» more  SIGMOD 2003»
14 years 7 months ago
Robust and Efficient Fuzzy Match for Online Data Cleaning
To ensure high data quality, data warehouses must validate and cleanse incoming data tuples from external sources. In many situations, clean tuples must match acceptable tuples in...
Surajit Chaudhuri, Kris Ganjam, Venkatesh Ganti, R...
TSE
2008
129views more  TSE 2008»
13 years 7 months ago
Classifying Software Changes: Clean or Buggy?
This paper introduces a new technique for predicting latent software bugs, called change classification. Change classification uses a machine learning classifier to determine wheth...
Sunghun Kim, E. James Whitehead Jr., Yi Zhang 0001
ICDE
2007
IEEE
146views Database» more  ICDE 2007»
14 years 8 months ago
Conditional Functional Dependencies for Data Cleaning
We propose a class of constraints, referred to as conditional functional dependencies (CFDs), and study their applications in data cleaning. In contrast to traditional functional ...
Philip Bohannon, Wenfei Fan, Floris Geerts, Xibei ...
SOFSEM
2007
Springer
14 years 1 months ago
Building an Ontological Base for Experimental Evaluation of Semantic Web Applications
The increasing number of Semantic Web applications that work with ontologies implies an increased need for building ontological knowledge bases. In order to improve ontologies duri...
Peter Bartalos, Michal Barla, György Frivolt,...