Improving data quality in neuronal population recordings

Measuring the quality of neuronal identification in ensemble recordings.

Technological advances in electrode construction and digital signal processing now allow recording simultaneous extracellular action potential discharges from many single neurons, with the potential to revolutionize understanding of the neural codes for sensory, motor, and cognitive variables. Such studies have revealed the importance of ensemble neural codes, encoding information in the dynami...

Improving Data Quality in Data Warehousing Applications

There is a growing awareness that high quality of data is a key to today‟s business success and dirty data that exits within data sources is one of the reasons that cause poor data quality. To ensure high quality, enterprises need to have a process, methodologies and resources to monitor and analyze the quality of data, methodologies for preventing and/or detecting and repairing dirty data. How...

Towards Improving Data Quality

This paper is based on the notion of data quality. It includes correctness, completeness and minimality for which a notational framework is shown. In long living databases the maintenance of data quality is a rst order issue. This paper shows that even well designed and implemented information systems cannot guarantee correct data in any circumstances. It is shown that in any such system data q...

IMPROVING NEXRAD DATA Data Quality Algorithm Progress

Improving Data Quality in Intelligent Transportation Systems

—Intelligent Transportation Systems (ITS) use data and information technology to improve the operation of our transportation network. ITS contributes to sustainable development by using technology to make the transportation system more efficient; improving our environment by reducing emissions, reducing the need for new construction and improving our daily lives through reduced congestion. A ke...