English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

The application of data mining technique has been widely applied in differentbusiness areas such as health, education and finance for the purpose of dataanalysis and then to support and maximizes the organizations customersatisfaction in an effort to increase loyalty and retain customers businessover their lifetimes . The researchers primary objective, in this paper is toclassify customers based on their common attributes since customer grouping isthe main part of customer relationship management. In this study, differentcharacteristics of the ERCA customers data were collected from the customsdatabase called ASYCUDA. Once the customers data were collected, the necessarydata preparation steps were conducted on it and finally a data set consistingof 46748 records was attained. The classification modeling was built by usingJ48 decision tree and multi layer perceptron ANN algorithms with 10-foldcross-validation and splitting (70% training and 30% testing) techniques. Amongthese models, a model which was built using J48 decision tree algorithm withdefault 10-fold cross-validation outperforms 99.95% of overall accuracy rate;while the classification accuracy of ANN is 99.71%. So decision tree has betteraccuracy than ANN for classifying ERCA customers data.

The application of data mining techniques to support customer relationship management: the case of ethiopian revenue and customs authority