Examples of 'methods for data' in a sentence

Meaning of "methods for data"

methods for data ~ refers to different techniques or approaches used to analyze, manipulate and interpret data in order to gain insights or make informed decisions. These methods can include statistical analysis, data mining, machine learning, and data visualization, amongst others

How to use "methods for data" in a sentence

Basic
Advanced
methods for data
Methods for data collection and analysis.
Fast and efficient methods for data.
Different methods for data collection were used.
Interviews and observations have been the main methods for data collection.
Systems and methods for data communication.
To carry out the evaluations quantitative and qualitative methods for data collection were chosen.
Graphical methods for data analysis.
By triangulation we mean, using different sources and methods for data collection.
Computational methods for data analysis.
Methods for data collection and analysis are qualitative.
Development of methods for data analysis.
Methods for data storage and downloading such stored information are well known.
We incorporated web based methods for data collection and moderation.
The methods for data analysis for the BBS are the subject of ongoing research.
Very few organizations have established methods for data asset management.

See also

Statistical methods for data analysis in particle physics.
The evaluation relied on four information sources and methods for data collection and analysis.
Different methods for data collection have been utilized.
Work with existing data collection agencies to standardize methods for data collection and organization.
Then we study methods for data collection and treatment.
For example, there are used hierarchical methods and methods for data partition.
Other methods for data transfer may also be used.
Using the modeling, this work presents some new methods for data analysis in an GIS.
Systems and methods for data synchronization and failover management.
Potential Methods, Individual diseases require specific methods for data collection and analysis.
Evaluate instrumental methods for data capture for advanced predictive microbiology.
Methods for data evaluation and calculations ;.
Statistical matching is a series of methods for data integration from two or more data sources.
Methods for data simulation and for estimations in presence of the time-dependent covariate are proposed.
The further development of tools and methods for data exchange within a centralised system is vital.
The methods for data collection are further outlined under Schedules 2 and 3 of the Regulations.
Knowledge of applied statistical methods for data analysis ( univariate and multivariate methods ).
The " Methods for data collection and analysis " criterion was the weakest in the evaluations assessed.
The most widely recognized methods for data access for the RDBMS is through SQL.
Finally, two methods for data association are described.
Use gender-sensitive, feminist, and participatory methods for data collection and stakeholder engagement ;.
However, the methods for data collection on periodontitis were not standardized.
Identifying measurement units, methods for data collection, management and use.
Without adequate methods for data collection, the validity of the research conclusions is easily questioned.
Furthermore, basic concepts and methods for data collection and analysis lack international standards.
Finally, conventional methods for data communication with a wireless communication device are unidirectional.
Devise and assess procedures and methods for data collection, including opinion polls, surveys and questionnaires.
State-of-the-art methods for data management and analysis will further enhance capability and capacity.
Establishment of standardized methods for data collection for United Nations-owned properties, including.
There are different methods for data protection and, particularly, data anonymization.
Fig . 25 shows encrypting and decrypting methods for data confidentiality processing according to the third embodiment.
Output 3, New cost-effective methods for data collection, analysis and dissemination developed and disseminated.

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