Normalization of large-scale behavioural data collected from zebrafish

cDNA Microarray Data Normalization

Estimating Large-scale Fractured Rock Properties from Radon Data Collected in a Ventilated Tunnel

To address regulatory issues regarding worker safety, radon gas concentrations have been monitored as part of the operation of a deep tunnel excavated from a highly fractured tuff formation. The objective of this study was to examine the potential use of the radon data to estimate large-scale formation properties of fractured rock. An iTOUGH2 model was developed to predict radon concentrations ...

A Normalization Method for Contextual Data: Experience from a Large-Scale Application

The paper describes a pre-processing technique to normalize contextually-dependent data before appling Lachine Learning algorithm. Unlike many previous methods, our approach to normalization does not assume that the learning task is a classiication task. We propose a data pre-processing algorithm which modiies the relevant attributes so that the eeects of the contextual attributes on the releva...

A Normalization Method for Contextual Data: Experience from a Large-scale Application. Tr-98-02

close, and ii no classiier consistently outperformed the others over the four learning tasks. The inadequacy of simple accuracies for this problem can be explained by the fact that our data sets are imbalancedd11. In terms of number of false alarms, values obtained from our approach performed very well. In two cases 30 and 15 days, they have lead to the minimum number of false alarms. In the ot...

Scale-based normalization of spectral data.

Classification of data that arise as signals or images often requires a standardization step so that information extracted from biologically equivalent signals can be quantified for comparison across classes. Differences in global trend, total energy, high-frequency noise and/or local background can arise from variabilities due to instrumentation or conditions during data collection. This artic...