Cleaning framework for big data-object identification and linkage
Data is a valuable resource. The proper use of high-quality data can help make better
predictions, analysis and decisions. Poor-quality data is detrimental to data analytics. Data …
predictions, analysis and decisions. Poor-quality data is detrimental to data analytics. Data …
Decomposition of logic functions for minimum transition activity
R Murgai, RK Brayton… - … the European Design …, 1995 - ieeexplore.ieee.org
In this age of portable electronic systems, the problem of logic synthesis for low power has
acquired great importance. The most popular approach has been to target the widely …
acquired great importance. The most popular approach has been to target the widely …
Approximate quality assessment with sampling approaches
Data is useful to the extent that it can be quickly analyzed to reveal valuable information.
With high-quality data, we can increase revenue, reduce cost, and reduce risk. On the other …
With high-quality data, we can increase revenue, reduce cost, and reduce risk. On the other …
[图书][B] Unsupervised bayesian data cleaning techniques for structured data
S De - 2014 - search.proquest.com
Recent efforts in data cleaning have focused mostly on problems like data deduplication,
record matching, and data standardization; few of these focus on fixing incorrect attribute …
record matching, and data standardization; few of these focus on fixing incorrect attribute …