Retracted: The relationship between unified communications and big data analytics
Why is this work in the frame?
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Post-publication record
- Nature
- Retraction
- Reason
- Notice - Limited or No Information;Removed;Withdrawn to Publish in Different Journal;
- Date
- 12/1/2018 0:00
- Flagged by OpenAlex?
- Yes
Source: Retraction Watch, joined by DOI. OpenAlex records retraction as is_retracted, a boolean over a state space with at least four values, so it cannot express an expression of concern, a correction or a reinstatement — it reports them as false, which reads as “fine”.
Machine scores (provisional)
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
- Teacher spread
- 0.090 · how far apart the two teachers sit on this one work
- Validation status
score_only:v0-immature-baseline· verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it
Abstract
This paper looks into the relationship between Unified Communications (UC) and Big Data Analytics (BDA). UC has been adopted in many organizations to enhance communications while BDA has been adopted to solve the existing problems. UCs is the integration of a broad range of communication tools to provide an avenue for the most efficient exchange of information. The paper utilized the qualitative approach for data analysis. The results of the research provide evidence of a relationship between Unified Communications and Big Data Analytics where Unified Communications generate large volumes of data from different sources while big data analytics is used to extract useful information from this data.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
The record
- Venue
- Journal of Fundamental and Applied Sciences
- Topic
- Big Data and Business Intelligence
- Field
- Business, Management and Accounting
- Canadian institutions
- Athabasca University
- Funders
- —
- Keywords
- Big dataData scienceComputer scienceAnalyticsData analysisData mining
- Has abstract in OpenAlex
- yes