Data Mining, Financial Performance and Financial Decisions on Business: Evidence from Digital Marketing

Authors

  • Ari Warokka Centro International "Carlos V" - Universidad Autonoma de Madrid, Spain Author
  • Herman Sjahruddin Sekolah Tinggi Ilmu Ekonomi Makassar Bongaya, Makassar, Indonesia. Author
  • Andi Reni Universitas Hasanuddin, Makassar, Indonesia. Author
  • Baihaqi Departement of Accounting, Universitas Bengkulu, Bengkulu, Indonesia Author
  • Edwin Sugesti Nasution Sekolah Tinggi Ilmu Ekonomi Eka Prasetya, Medan, Indonesia Author

DOI:

https://doi.org/10.61841/ghmp4x37

Keywords:

Promoting, Data Processing, Call Tree, Clustering.

Abstract

The finance is finding of the foremost necessary issues for fashionable efficient ways in which to exchange knowledge to summarize stock to visualize give people or establishments helpful data regarding the investment choices and market behavior. The big quantity of knowledge generated valuable by the stock exchange has researchers to attracted this drawback explore exploitation completely domain different methodology. Potentially vital edges resolving the year’s problems driven in depth analysis. The analysis has gained in data mining of a high attraction because of the importance of its applications and therefore the increasing generation data. The provides a paper outline of the knowledge application of mining techniques like call tree. this paper also, reveals applications added to the progressive existing fewer considered space gap or determines by the long run researchers for works. 

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Published

29.02.2020

How to Cite

Warokka, A., Sjahruddin, H., Reni, A., Baihaqi, & Sugesti Nasution , E. (2020). Data Mining, Financial Performance and Financial Decisions on Business: Evidence from Digital Marketing. International Journal of Psychosocial Rehabilitation, 24(1), 1160-1168. https://doi.org/10.61841/ghmp4x37