Examples of 'knowledge discovery' in a sentence
Meaning of "knowledge discovery"
Knowledge discovery refers to the process of extracting useful information or patterns from a large amount of data. It involves various techniques and methods, such as data mining, machine learning, and statistical analysis. Knowledge discovery is commonly used in fields such as business, healthcare, and research to gain insights and make informed decisions based on the extracted knowledge
How to use "knowledge discovery" in a sentence
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knowledge discovery
Biological knowledge discovery and cancer biomarkers.
Multimedia data mining and knowledge discovery.
A standard knowledge discovery process includes five steps.
Intelligent query answering by knowledge discovery techniques.
Knowledge discovery from textual and multimedia data.
Data mining is also called as knowledge discovery in databases.
The knowledge discovery in databases methodology was evaluated to solve the problem.
We propose to model these problems as knowledge discovery tasks.
New knowledge discovery and its application is part of the solution.
He demonstrated unsuspected potential of bibliographic databases in knowledge discovery.
This thesis proposes a contribution to knowledge discovery in heterogeneous sequential data.
Knowledge discovery in databases containing missing values or a very large number of attributes.
Advanced techniques for knowledge discovery.
Modern knowledge discovery methods enable users to discover complex patterns of various types in large.
Analytics is knowledge discovery.
See also
This growing body of data has great potential for pattern analysis and knowledge discovery.
Just as many other forms of knowledge discovery it creates abstractions of the input data.
Machine learning algorithms are widely employed to induce models for knowledge discovery in databases.
A discussion follows on how to make this knowledge discovery process operational in a knowledge acquisition process.
Application of data mining and artificial intelligence techniques to mass spectrometry data for knowledge discovery.
His main research interest is in knowledge discovery from data streams and evolving data.
Knowledge Discovery in databases.
Here is the list of steps involved in the knowledge discovery process.
Background of the Invention Knowledge discovery is the most desirable end product of data collection.
Below is the list of steps involved in the knowledge discovery process.
Knowledge discovery and data mining methods can support fast-pace decision making in network operations.
There are several critical research challenges in geographic knowledge discovery and data mining.
Both information retrieval and knowledge discovery address the same issue, they structure and organize data.
The case study utilized the data by performing the knowledge discovery process in data.
IFN and the knowledge discovery process's stages.
A suitable methodology for the handle large data sets is the knowledge discovery in databases kdd.
Abstract, Knowledge Discovery from incomplete databases is a thriving research area.
A systematic review of data quality issues in knowledge discovery tasks Articles.
Abstract, Knowledge Discovery in Databases is a recent field aiming at discovering new knowledge.
Part I deals with image management and knowledge discovery.
This is where Knowledge Discovery from.
S / he must therefore be a specialist of knowledge discovery.
The architecture encompasses the process of knowledge discovery from data pre-processing, data mining and post-processing.
In fact, data mining is also known as data discovery or knowledge discovery.
These algorithms are proven knowledge discovery on the map of DNA double-strand break.
In more detail, the project looked deeply into semantic knowledge discovery.
O NRC-CISTI Lab contains knowledge discovery tools available to users on a wiki platform Ebooks.
Copernicus Publications has signed the Hague Declaration on knowledge discovery in the digital age.
Knowledge Discovery Metamodel is designed as the OMG 's foundation for software modernization and software assurance.
Liber signs the Hague Declaration on knowledge discovery in the digital age.
In particular, social learning practices are allowing for a more discursive rhizomatic approach to knowledge discovery.
Onna currently serves two main use cases, Knowledge Discovery and eDiscovery collections.
Data stream mining can be considered a subfield of data mining, machine learning, and knowledge discovery.
Gregory is the founder of Knowledge Discovery in Database ( KDD ) conference series.
Analysis might include statistical evaluations, optimisation of rule-bases or knowledge discovery methods.
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I need a copy of the discovery reports as well
The discovery of this creature is simply extraordinary
They made the discovery this morning
