Accordingly, the data management team should visit the field site to get an understanding about the problems in collecting the data and the sources of errors, and the field staff should spend some time in the data management office to participate in resolving data problems.
Moreover, derivative component analysis (DCA) demonstrate a potential to resolve data reproducibility problem of serum proteomics by viewing each input data's meta-data as a profile biomarker by employing DCA-SVM to achieve clinical level disease diagnosis, because of DCA's true signal extraction for input proteomics data.
Therefore, it is necessary to utilize appropriate frameworks and technologies to resolve current spatial data problems for disaster management.
Taking advantage of the powerful processing ability of Hadoop, Pig provides very easy programming primitives and resolves big data problem in a large-scale distributed way.
The 12-story rocket was supposed to lift off on Thursday, but it was delayed while workers replaced a fuel-level sensor, resolved data relay problems with the satellite and removed a safety railing mistakenly left in place around the rocket's main engine.
This paper contributes to a development of robust stochastic configuration networks (RSCNs) for resolving uncertain data regression problems.
Subsequent delays in processing case report forms (CRFs), chasing missing data, and identifying and resolving data queries mean any emerging problems contained within the data, for example, treatment toxicity and/or compliance issues, are not seen and acted upon quickly.
However, centralized data management does not resolve the problem of data security because the risks of data loss and data tampering remain.
Boundary based oversampling technique used in SMOTE + GLMBoost and NRBoundary-SMOTE [24] are engaged to resolve imbalance data set problems.
One respondent wrote, "Young scientists should be evaluated based on their ability to convey ideas, interpret data, resolve problems, and generate novel scientific ideas.
To achieve universality of data and resolve the problems associated with incompatibility, a unified intellectual framework is therefore required.
