Data mining

Prediction of Telecommunication Company Stock Price using Multiple Linear Regression
The information derived from these predictions can assist investors in making informed decisions and establishing strategies to minimize losses.
Zaenal Abidin, Agung Pambudi, Parjito, Dyah Aruming Tyas, Erliyan Redy Susanto, Ryan Randy Suryono
Cite DOI IEEE Xplore ResearchGate SemanticScholar
Prediction of Telecommunication Company Stock Price using Multiple Linear Regression
Application Of CRISP-DM Using MLR K-Fold On Stock Data PT. Telkom Indonesia (Persero) Tbk (TLKM) (Case Study: Indonesia Stock Exchange 2015-2022)
Data mining techniques have been widely adopted over the last few decades, especially in the business and finance domains. To achieve sustainable benefits from this technique, an organization or company must adopt a standardized process for managing data mining projects, mostly using CRISP-DM. Research has shown that this standard process is often not used as it has been defined to meet the various needs of data mining projects.
Agung Pambudi
PDF Cite Code Dataset DOI ResearchGate SemanticScholar
Application Of CRISP-DM Using MLR K-Fold On Stock Data PT. Telkom Indonesia (Persero) Tbk (TLKM) (Case Study: Indonesia Stock Exchange 2015-2022)