data preparation

Therefore, stepping back to the data preparation phase is often needed.

Data preparation tasks are likely to be performed multiple times, and not in any prescribed order.

This process is the most important process in the research as the results are generated on the basis of data preparation.

Data preparation and filtering steps can take considerable amount of processing time.

The preprocessing mode is for data mining and data preparation.

A modern technique known as forms mode entry eliminates many data preparation problems and undoubtedly represents the way ahead.

The forms were sent to the Data Preparation Bureau and punched cards produced.

Building MARS models often requires little or no data preparation.

The amended listing was then sent to an outside data preparation bureau where data were recorded on punch cards.

Mask data preparation (part of integrated circuit design)

KB carried out northern analysis and data preparation, participated in the design of the study and drafted the manuscript.

Work on the index began in July 1983, and at the present rate of progress the initial data preparation phase should be finished by January 1988.

- Data preparation staff (to convert raw data from documents into a form suitable for the computer)

Requires little data preparation.

Data preparation: The data are preprocessed for removing noise and reducing complexity by eliminating attributes.

Any such calculation should be done 'manually' only if a useful check on data preparation would thereby be provided.

Methods Data Preparation 1.

Data mining requires data preparation which can uncover information or patterns which may compromise confidentiality and privacy obligations.

JWM participated in data preparation.

Therefore, Forrester refers to data preparation and data usage as two separate, but closely linked segments of the business intelligence architectural stack.

The nice narrow of the programming work was balanced by data preparation work, of which there is only going to be more for us in the future.

This data preparation resulted in one gene-expression value per gene per animal and is referred to as the 'normalized' dataset.

Tapeout and mask generation: the design data is turned into photomasks in mask data preparation.

In particular, both re-use the SSI data preparation language and trackside equipment.

The steps in the process are data collection, data preparation, data analysis, and the preparation of a report and possibly a presentation of the results.