text mining
Law enforcement agencies can use data mining to identify common behavioural characteristics in different cases.
What happens to creative risk-taking and experimentation when our every interaction is subject to corporate data mining?
Manufacturers have long used data-mining to maximize the effectiveness of their advertising and marketing spend.
I suspect these accounts are created purely in order to gain large amounts of followers for data-mining purposes.

SMART Vocabulary: related words and phrases

Searching
-seeking
beachcomb
beachcomber
beachcombing
body search
bounty hunter
comb
hunter
hunting ground
keep your/an eye out for someone/somethingidiom
leave no stone unturnedidiom
lookout
manhunt
needle
scout
scrounge around
search
seek someone/something out
seeker
troll

You can also find related words, phrases, and synonyms in the topics:

Computer programming & software

data mining | Business English

data mining
noun[ U ]
ukus
IT, MARKETING
the examination of large amounts of information stored in a computer in order to look for patterns, changes, etc.:
They use data-mining technology to determine whether there are new trends developing.
Marketing professionals employ data mining to find out more about the buying patterns of their customers.

Examples of data mining

data mining
Numerous tools suitable for datamining in biology are available, yet the selection of an appropriate tool is non-trivial.
So the important question is, how can we measure the effectiveness of classification results in datamining?
His research interests include machine learning, genetic algorithms, datamining, and network security.
In the following, we illustrate the potential of sparse grids for problems of a higher dimensionality in the context of numerical quadrature and datamining.
However, the rules generated by the datamining methods are rarely used to provide greater insight into the original problem domain.
Subjective techniques generally operate by comparing the beliefs of a user against the patterns discovered by the datamining algorithm.
These goals can be achieved by using various general datamining methods, which are described below.
In datamining and machine learning communities, several classification algorithms have been proposed, where most of these produce classifiers with an acceptable error rate.
The range of applications spans from numerical programming, symbolic computing, computer vision, to telephony and datamining.
As her research progressed, she used more complex case representations, reasoning and learning strategies, and datamining techniques for pattern recognition.
The majority of the datamining literature concentrates on the discovery of accurate and comprehensible patterns.
We are exploring the use of fuzzy datamining and concepts introduced by the semantic web to operate in synergy to perform distributed intrusion detection.
On the positive side, datamining and machine learning can be used to generalise news reports, and thereby generate knowledge for coherence systems.
While the term ' datamining' is relatively recent, techniques for identifying patterns in data are much older.
This review provides a discussion of and pointers to efficient algorithms for the common datamining tasks in a mathematical framework.
See all examples of data mining
These examples are from corpora and from sources on the web. Any opinions in the examples do not represent the opinion of the Cambridge Dictionary editors or of Cambridge University Press or its licensors.