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» Using Recon for Data Cleaning
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ICASSP
2010
IEEE
13 years 7 months ago
Training a support vector machine to classify signals in a real environment given clean training data
When building a classifier from clean training data for a particular test environment, knowledge about the environmental noise and channel should be taken into account. We propos...
Kevin Jamieson, Maya R. Gupta, Eric Swanson, Hyrum...
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
2010
ACM
211views Database» more  SIGMOD 2010»
14 years 8 days ago
ERACER: a database approach for statistical inference and data cleaning
Real-world databases often contain syntactic and semantic errors, in spite of integrity constraints and other safety measures incorporated into modern DBMSs. We present ERACER, an...
Chris Mayfield, Jennifer Neville, Sunil Prabhakar
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...
KDD
2008
ACM
135views Data Mining» more  KDD 2008»
14 years 7 months ago
DiMaC: a disguised missing data cleaning tool
In some applications such as filling in a customer information form on the web, some missing values may not be explicitly represented as such, but instead appear as potentially va...
Ming Hua, Jian Pei