high-accuracy data
1Data Intensive Computing — is a class of parallel computing applications which use a data parallel approach to processing large volumes of data typically terabytes or petabytes in size and typically referred to as Big Data. Computing applications which devote most of their …
2Data integrity — in its broadest meaning refers to the trustworthiness of system resources over their entire life cycle. In more analytic terms, it is the representational faithfulness of information to the true state of the object that the information represents …
3Data 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… …
4accuracy — noun ADJECTIVE ▪ absolute, complete, deadly, perfect, pinpoint, total, unerring ▪ The needle has to be positioned with pinpoint accuracy. ▪ …
5Accuracy paradox — The accuracy paradox for predictive analytics states that predictive models with a given level of accuracy may have greater predictive power than models with higher accuracy. It may be better to avoid the accuracy metric in favor of other metrics …
6Data 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… …
7Data 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… …
8Data Quality Firewall — A Data Quality Firewall is the use of software to protect a computer system from the entry of erroneous, duplicated or poor quality data. Gartner estimates that poor quality data causes failure in up to 50% of Customer relationship management… …
9Data 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… …
10Data loss prevention products — Data Loss Prevention (DLP) is a computer security term referring to systems designed to detect and prevent the unauthorized transmission of information from the computer systems of an organization to outsiders. It is also referred to by various… …
