RFM model for customer purchase behavior using K-Means algorithm
Sign Up to like & getrecommendations! Published in 2019 at "Journal of King Saud University - Computer and Information Sciences"
DOI: 10.1016/j.jksuci.2019.12.011
Abstract: Abstract The objective of this study is to apply business intelligence in identifying potential customers by providing relevant and timely data to business entities in the Retail Industry. The data furnished is based on systematic… read more here.
Keywords: using means; rfm model; means algorithm; customer ... See more keywords
Clustering of COVID-19 data for knowledge discovery using c-means and fuzzy c-means
Sign Up to like & getrecommendations! Published in 2021 at "Results in Physics"
DOI: 10.1016/j.rinp.2021.104639
Abstract: In this work, the partitioning clustering of COVID-19 data using c-Means (cM) and Fuzy c-Means (Fc-M) algorithms is carried out. Based on the data available from January 2020 with respect to location, i.e., longitude and… read more here.
Keywords: using means; covid data; data knowledge; clustering covid ... See more keywords
Data Analysis of Educational Evaluation Using K-Means Clustering Method
Sign Up to like & getrecommendations! Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/3762431
Abstract: It is thought to be an effective technique to handle the problem of educational data explosion and lack of information by identifying potential relationships between data and directing decision-makers through the extraction, transformation, analysis, and… read more here.
Keywords: data analysis; evaluation using; analysis; means clustering ... See more keywords
Clustering large datasets using K-means modified inter and intra clustering (KM-I2C) in Hadoop
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Big Data"
DOI: 10.1186/s40537-017-0087-2
Abstract: Big data has become popular for processing, storing and managing massive volumes of data. The clustering of datasets has become a challenging issue in the field of big data analytics. The K-means algorithm is best… read more here.
Keywords: using means; big data; datasets using; clustering large ... See more keywords
Trends in Occupational Infectious Diseases in South Korea and Classification of Industries According to the Risk of Biological Hazards Using K-Means Clustering
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Environmental Research and Public Health"
DOI: 10.3390/ijerph191911922
Abstract: Against the backdrop of the COVID-19 pandemic, it is necessary to identify these risks and determine whether the current level of management is appropriate to respond to the risk of biological hazards depending on the… read more here.
Keywords: south korea; infectious diseases; risk; biological hazards ... See more keywords