to semantic data mining and semantic pre-processing, ontologies are a way to conceptualize and formally define semantic knowledge and data. The Protégé...

Data binning, also called data discrete binning or data bucketing, is a data pre-processing technique used to reduce the effects of minor observation...

databases" process, or KDD. Aside from the raw analysis step, it also involves database and data management aspects, data pre-processing, model and inference...

Electronic data processing (EDP) or business information processing can refer to the use of automated methods to process commercial data. Typically, this...

Data preparation is the act of manipulating (or pre-processing) raw data (which may come from disparate data sources) into a form that can readily and...

Oversampling and undersampling in data analysis Surrogate data Generative adversarial network Variational autoencoder Data pre-processing Convolutional neural network...

the processing step (data load) can be quite lengthy, especially on large data volumes. This is usually remedied by doing only incremental processing, i...

Big data primarily refers to data sets that are too large or complex to be dealt with by traditional data-processing application software. Data with many...

Programmed Data Processor (PDP), referred to by some customers, media and authors as "Programmable Data Processor," is a term used by the Digital Equipment...

a program that processes its input data to produce output that is used as input to another program like a compiler Data pre-processing, used in machine...