Search results
Results from the WOW.Com Content Network
Data curation includes "all the processes needed for principled and controlled data creation, maintenance, and management, together with the capacity to add value to data". [1] In science, data curation may indicate the process of extraction of important information from scientific texts, such as research articles by experts, to be converted ...
Interactive data transformation (IDT) [13] is an emerging capability that allows business analysts and business users the ability to directly interact with large datasets through a visual interface, [9] understand the characteristics of the data (via automated data profiling or visualization), and change or correct the data through simple ...
A research design typically outlines the theories and models underlying a project; the research question(s) of a project; a strategy for gathering data and information; and a strategy for producing answers from the data. [1] A strong research design yields valid answers to research questions while weak designs yield unreliable, imprecise or ...
The range of data values or data quality in an operational system may exceed the expectations of designers at the time validation and transformation rules are specified. Data profiling of a source during data analysis can identify the data conditions that must be managed by transform rules specifications, leading to an amendment of validation ...
The logarithm transformation and square root transformation are commonly used for positive data, and the multiplicative inverse transformation (reciprocal transformation) can be used for non-zero data. The power transformation is a family of transformations parameterized by a non-negative value λ that includes the logarithm, square root, and ...
The term "digital curation" was first used in the e-science and biological science fields as a means of differentiating the additional suite of activities ordinarily employed by library and museum curators to add value to their collections and enable its reuse [12] [13] [14] from the smaller subtask of simply preserving the data, a significantly more concise archival task. [12]
Algorithmic curation, curation using computer algorithms; Content curation, the collection and sorting of information; Data curation, management activities required to maintain research data; Digital curation, the preservation and maintenance of digital assets; Evidence management, the indexing and cataloguing of evidence related to an event
The process of data mining is to find patterns within large data sets, where data wrangling transforms data in order to deliver insights about that data. Even though data wrangling is a superset of data mining does not mean that data mining does not use it, there are many use cases for data wrangling in data mining.