Examples of using Data mining in English and their translations into Turkish
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Colloquial
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Computer
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Ecclesiastic
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Ecclesiastic
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Programming
That's just data mining.
Data mining.- Zoothroo?
Zoothroo?- Data mining.
Data mining algorithm development framework.
Let's try data mining.
Data mining. Largest operation outside the US.
Who is like the Google of data mining?
A data mining company- election specialists combined.
One of his companies does data mining.
And data mining at CUNY Staten Island. I majored in child psychology.
Net neutrality dead, data mining on the rise.
Data mining through everyone, focusing on our most recent hires.
Net neutrality dead, data mining on the rise Wow.
Largest operation outside the us.- Data mining.
There's any data mining equivalency. The Democrats and Chumhum are denying.
Machine learning algorithms for data mining tasks.
Data mining, column-oriented DBMS, and integrated OLAP systems can be used in conjunction with clickstreams to better record and analyze this data. .
I majored in child psychology and data mining at CUNY Staten Island.
Found some usernames,extrapolated some passwords… I did a little deep data mining.
Her research interests include the use of data mining and artificial intelligence techniques in healthcare management.
The Democrats and Chumhum are denying there's any data mining equivalency.
Frequently involves: data mining, process mining, statistical analysis, predictive analytics, predictive modeling, business process modeling, data lineage, complex event processing and prescriptive analytics.
SimilarWeb provides services in web analytics, data mining and business intelligence for international corporations.
There is no"Find Terrorist" button, and the more data we integrate from a vast variety of sources across awide variety of data formats from very disparate systems, the less effective data mining can be.
On July 8, 2013, Microsoft unveiled Power BI,a suite of business intelligence and self-serve data mining tools for Office 365, to be released later in the year.
Analytics may variously involve data mining, process mining, statistical analysis, predictive analytics, predictive modeling, business process modeling, data lineage, complex event processing and prescriptive analytics.
NI extends network controls, business capabilities,security functions and data mining for new products and services needed since the emergence of Web 2.0 and wireless 3G and 4G technologies.
Brute computing forcealone can't solve the world's problems. Data mining innovator Shyam Sankar explains why solving big problems is not a question of finding the right algorithm, but rather the right symbiotic relationship between computation and human creativity.
Common functions of business intelligence technologies are reporting, online analytical processing,analytics, data mining, process mining, complex event processing, business performance management, benchmarking, text mining, predictive analytics and prescriptive analytics.
Common functions of business intelligence technologies include reporting, online analytical processing,analytics, data mining, process mining, complex event processing, business performance management, benchmarking, text mining, predictive analytics and prescriptive analytics.