data processing methods
1Automatic data processing — In telecommunication, the term automatic data processing (ADP) has the following meanings: 1. An interacting assembly of procedures, processes, methods, personnel, and equipment to perform automatically a series of data processing operations on… …
2Electronic data processing — Bold textElectronic data processing (EDP) can refer to the use of automated methods to process commercial data. Typically, this uses relatively simple, repetitive activities to process large volumes of similar information. For example: stock… …
3automatic data processing — 1. Data processing largely performed by automatic means. 2. That branch of science and technology concerned with methods and techniques relating to data processing largely performed by automatic means …
4Data Pre-processing — is an often neglected but important step in the data mining process. The phrase Garbage In, Garbage Out is particularly applicable to data mining and machine learning projects. Data gathering methods are often loosely controlled, resulting in out …
5Data sharing — is the practice of making data used for scholarly research available to other investigators. Replication has a long history in science. The motto of The Royal Society is Nullius in verba , translated Take no man s word for it. [1] Many funding… …
6Data quality — Data are of high quality if they are fit for their intended uses in operations, decision making and planning (J. M. Juran). Alternatively, the data are deemed of high quality if they correctly represent the real world construct to which they… …
7Data recovery — is the process of salvaging data from damaged, failed, corrupted, or inaccessible secondary storage media when it cannot be accessed normally. Often the data are being salvaged from storage media such as internal or external hard disk drives,… …
8Data mining — Not to be confused with analytics, information extraction, or data analysis. Data mining (the analysis step of the knowledge discovery in databases process,[1] or KDD), a relatively young and interdisciplinary field of computer science[2][3] is… …
9Data model — Overview of data modeling context: A data model provides the details of information to be stored, and is of primary use when the final product is the generation of computer software code for an application or the preparation of a functional… …
10Data cleansing — Not to be confused with Sanitization (classified information). Data cleansing, data cleaning, or data scrubbing is the process of detecting and correcting (or removing) corrupt or inaccurate records from a record set, table, or database. Used… …
