Efficient Stratified Sampling Graphing Method for Mass Data

Stratified Sampling Method

Stratified Sampling Method

Stratified and Un-stratified Sampling in Data Mining: Bagging

Stratified sampling is often used in opinion polls to reduce standard errors, and it is known as variance reduction technique in sampling theory. The most common approach of resampling method is based on bootstrapping the dataset with replacement. A main purpose of this work is to investigate extensions of the resampling methods in classification problems, specifically we use decision trees, fr...

Stratified Reservoir Sampling over Heterogeneous Data Streams

Reservoir sampling is a well-known technique for random sampling over data streams. In many streaming applications, however, an input stream may be naturally heterogeneous, i.e., composed of substreams whose statistical properties may also vary considerably. For this class of applications, the conventional reservoir sampling technique does not guarantee a statistically sufficient number of tupl...

Stratified Sampling Design Based on Data Mining

OBJECTIVES To explore classification rules based on data mining methodologies which are to be used in defining strata in stratified sampling of healthcare providers with improved sampling efficiency. METHODS We performed k-means clustering to group providers with similar characteristics, then, constructed decision trees on cluster labels to generate stratification rules. We assessed the varia...