Sentence examples for tasks on data from inspiring English sources
The phrase "tasks on data" is correct and usable in written English.
It can be used when referring to specific activities or assignments that involve working with data. Example: "The team has several tasks on data analysis that need to be completed by the end of the week."
The center performs actions oriented to improve tasks on data collection and sharing to the public in a clear way.
Furthermore, we performed two water consumption related real-world case studies, demonstrating our framework's potential in knowledge extraction tasks on data of very high volume.
The research explain the different tools that combine the use of open source software and proprietary software to develop applications that are easily understood by people and offers easy access and transmission in real time, tasks on data collection and sharing to the public in a clear way.
One bottleneck of text mining research consists of processing data in various formats, writing software to explore data in various formats and implementing algorithms to perform tasks on data in various formats.
The master schedules tasks based on data, which is received from the client library.
The accuracy of classification and regression tasks based on data driven models, such as Neural Networks or Support Vector Machines, relies to a good extent on selecting proper data for designing these models, covering the whole input range in which they will be employed.
To round out the project, he developed an open source Java library called Sentinel [153] which includes tools for stream reading, data pre-processing, query response, feature selection and frequent itemset mining tailored to sentiment analysis tasks on Twitter data.
This is of particular importance for bioinformatics, as side information on confounders is abundant in most classification tasks on biological data.
Systems that perform intelligent reasoning tasks on chemistry data require a diverse set of underlying computational utilities including algorithmic, statistical and logic-based tools.
SVMs are powerful classification models that have shown state-of-the-art performance on several diagnosis and prognosis tasks on biological data [24], [39].
The post-processing stage consists of performing various tasks on synchronized data.
