Details

Autor(en) / Beteiligte

• Silhavy, Radek
• Silhavy, Petr
• Prokopova, Zdenka

Titel

Clustering Large DataSet’ to Prediction Business Metrics

Ist Teil von

• Software Engineering Perspectives in Intelligent Systems, 2020, Vol.1294, p.1117-1127

Ort / Verlag

Switzerland: Springer International Publishing AG

Erscheinungsjahr

2020

Link zum Volltext

Quelle

Alma/SFX Local Collection

Beschreibungen/Notizen

• Big Data analytical is expected to reach a non-parametric model for profiling user habits by utilizing the information base and domain knowledge acceleration using business metrics in financial technology. Data source is a collection of information on a data base server. Descriptions are built and modelled based on the data source (Big data). Uncertain of the behaviors of the user named has not been seen in the demographic table of merchants in Financial Technology with a total of merchant acquisitions. The MARS method approach is needed to resolve the problem MARS data training total percentages 85.94% until 99.86%.