data miner


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data miner

A program that analyzes activity in the computer. It may refer to legitimate analyses commonly performed by organizations internally (see data mining) or to spyware that secretly captures a user's Web surfing habits (see spyware).
References in periodicals archive ?
In addition, a multi-group scheme that facilitates data miners to control the balance between data mining accuracy and privacy was presented.
Common notations used in the paper Notation Definition DM data miner CE computation engine BE broadcast engine [C.sub.i] collaborator i [E.sub.pk] encryption key from BE [D.sub.pk] decryption key from BE [E.sub.a] encryption key from party a [D.sub.a] decryption key from party a [s.sub.i] private input from collaborator i [s'.sub.i] first encryption by party i [s".sub.i] second encryption by party i S" aggregation of doubly-encrypted data S' aggregation of encrypted data after first decryption by the broadcast engine 3.
My shrink-wrapped package came with three manuals; Quick Reference, Visual Basic Primer and Data Miner. I usually expect fairly clear expository writing as well as concise listing of only the important points.
Because the data may be scattered in different locations, exist in different formats, or stored in various languages, the data miner must prepare the data for mining.
It can be asked whether consistent purchase of expensive items is all the data miner wants to know anyway.
If you're the fun widget, says Mandl, whether you're Google or some other big data miner like Facebook, Apple, or Twitter, then you should advertise yourself as such; in fact, it's been suggested that perhaps the reason people are reacting so vehemently to the as of now disappointing GFT experiment is because Google seemed to suggest that their flu prediction system would replace all others, including the CDC.
Mint Miner (Manual Integration Data Miner) is a tool designed to rapidly evaluate manual integrations in large numbers of chromatography data files from programs such as ChemStation, Enviroquant, Target and TurboChrom.
It is to prepare data for OLAP (On-line analytical processing) and data miner analyses.
Sharing the podium with Gavin was Christopher Geiger, a founder and member of the management team at Tessera Enterprise Systems, Boston, a data warehouser and data miner.
The data miner fortunate to work on a data warehouse foundation - which offers data that is clean, integrated, and complete - enjoys success that comes from being able to exploit this data as a resource.