A comprehensive survey of clustering algorithms: State-of-the-art machine learning applications, taxonomy, challenges, and future research prospects

AE Ezugwu, AM Ikotun, OO Oyelade… - … Applications of Artificial …, 2022 - Elsevier
Clustering is an essential tool in data mining research and applications. It is the subject of
active research in many fields of study, such as computer science, data science, statistics …

Intelligent sales prediction using machine learning techniques

S Cheriyan, S Ibrahim, S Mohanan… - 2018 International …, 2018 - ieeexplore.ieee.org
Intelligent Decision Analytical System requires integration of decision analysis and
predictions. Most of the business organizations heavily depend on a knowledge base and …

Optimizing Financial Reporting and Compliance in SAP with Machine Learning Techniques

SS Parimi - Available at SSRN 4934911, 2018 - papers.ssrn.com
This survey explores the integration of machine learning techniques into SAP systems for
optimizing financial reporting and compliance. The novelty of this study lies in its …

[PDF][PDF] Prediction analysis for business to business (B2B) sales of telecommunication services using machine learning techniques

O Wisesa, A Adriansyah, OI Khalaf - Majlesi Journal of Electrical …, 2020 - mjee.isfahan.iau.ir
Sales prediction analysis requires intelligent data mining techniques with accurate
prediction models and high reliability. In most cases, business highly relies on information …

Prediction analysis sales for corporate services telecommunications company using gradient boost algorithm

O Wisesa, A Adriansyah… - 2020 2nd International …, 2020 - ieeexplore.ieee.org
Sales prediction analysis requires smart data mining techniques with accurate prediction
models and high reliability. Essentially, most market segments rely on the knowhow base …

[PDF][PDF] A comparative analysis of k-means and hierarchical clustering

A Gupta, H Sharma, A Akhtar - EPRA International Journal of …, 2021 - academia.edu
Clustering is the process of arranging comparable data elements into groups. One of the
most frequent data mining analytical techniques is clustering analysis; the clustering …

Customer Behavior Prediction for E-Commerce Sites Using Machine Learning Techniques: An Investigation

G Rajesh, SP Preethi, RS Priya, L Rajesh… - Reinventing …, 2021 - taylorfrancis.com
Every business organization depends on the intelligent decision analytical system to
analyze consumer behavior. This analysis and prediction can impact mainly the demand …

Study for the prediction of E-commerce business market growth using machine learning algorithm

S Kulshrestha, ML Saini - 2020 5th IEEE International …, 2020 - ieeexplore.ieee.org
Learning is a key to perform ideas adequately. Machine Learning empowers IT
organizations to identify the patterns on the basis of currently available algorithms and data …

Analisis Prediktif untuk Keputusan Bisnis: Peramalan Penjualan

AM Husein, FR Lubis… - Data Sciences Indonesia …, 2021 - jurnal.itscience.org
Peramalan penjualan produk adalah aspek utama dari manajemen pembelian, persediaan
yang melebihi permintaan atau kekurangan akan berdampak pada manajemen pelayanan …

[PDF][PDF] Sales prediction using machine learning techniques

P Amrutkar, S Mahadik - Journal homepage: www. ijrpr. com ISSN, 2022 - researchgate.net
Intelligent Decision Analytical System requires integration of decision analysis and
predictions. Most of the business organizations heavily depend on a knowledge base and …