Examples of using Mining techniques in English and their translations into Greek
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Experience in data mining techniques.
Other key data mining techniques that are employed industry wide include.
This is one of the most treasured data mining techniques.
Ability to apply data mining techniques for the analysis of diverse data(sound, ECG, EEG).
Association- one of the best-known data mining techniques.
(2013) thesis on:“Knowledge mining techniques for content characterization and social Web recommendations”.
First, learning how to fly then on to the learning machine for mining techniques.
Then classical data mining techniques are used to see which data elements influence the choice.
We just expect you to understand the data mining techniques in broad lines.
Data mining techniques are deployed to scour large databases in order to find novel and useful patterns that might otherwise remain unknown.
Title Environmental time-series analysis using statistical methods and data mining techniques.
Knowledge and understanding of data mining techniques and their applicability in different domains.
Event/fact recognition andspatiotemporal anchoring of events with novel text mining techniques.
Dissertation: development and application of Data Mining Techniques using Neural Networks in financial data.
Our goal is to present some of the most basic directed data mining techniques.
The EPP Group recognises the potential of content mining techniques to contribute to breakthroughs in research.
Innovation based on research requires access to a growing amount of scientific content,where the use of text and data mining techniques can be necessary.
This will also allow a wider use of data mining techniques in order to support Member States to enhance their control activities.
Data mining systems can also be categorized according to the underlying data mining techniques employed.
But, using complex data mining techniques, Prof. Warner established links between ZeuS-infected computers and traced the origins of the mass infection to Ukraine.
We will also take a brief look at some data mining techniques that you can use.
Analysts, researchers, scientists, students and all those who want to acquire the ability touse SPSS package and learn popular data mining techniques.
My dissertation involved the development and application of Data Mining Techniques using Neural Networks in financial data.
And metals from ore. Until that time, Pliny the Elder's work Historia Naturalis was the main source of information on metals and mining techniques.
With the generated features, mining can be carried out using data mining techniques to discover significant patterns.
Most data mining techniques are based on inductive learning, where a model is constructed explicitly, or implicitly, by generalizing from a sufficient number of training examples.
There is no need to be good at math; we just expect you to understand the data mining techniques in broad lines.
Recommendation systems Content-based systems, collaborative filtering systems, personalization,data mining techniques for large-scale recommendation systems, evaluation of recommendation systems, applications of recommendation systems.
It also examines issues of business intelligence, including business data integration, business process modeling,and advanced mining techniques from business data.
Lectures will be focused on several forms of analytics,machine learning and data mining techniques, big data systems, and the ethics of data science.