Digital platoform

A digital platform is aimed at making specific innovations and technological solutions, produced by the academic and research community, more accessible to private companies. It is a service for automatically downloading, synchronizing, sorting and displaying information from large scientific platforms such as Academia.edu, Google Scholar, or Researchers Gate to the platform EmpowerHR4Inno. Platform initially focus on priority sectors, food, health tourism, horizontal IT priority and nationally produced solutions with a tendency for further development. The following information can be found:

Course library with sub-content WoS published, results, other solutions, and digital tools and HR models;
Set of features that allow sending newsletters to users who sign up as interested in a particular group of news feeds.

ACM

Application of Apriori Algorithm for CRM Improvement - Case Study from Montenegro

Download 2022 Vesna Popovic-Bugarin , Lazar Novicevic , Milena Djukanovic , Mihailo Jovanovic , Suncica Rogic

National Library of Serbia

Class balancing in customer segments classification using support vector machine rule extraction and ensemble learning

An objective and data-based market segmentation is a precondition for efficient targeting in direct marketing campaigns. The role of customer segments classification in direct marketing is to predict the segment of most valuable customers who is likely to respond to a campaign based on previous purchasing behavior. A good-performing predictive model can significantly increase revenue, but also, reduce unnecessary marketing campaign costs. As this segment of customers is generally the smallest, most...

Download 2021 Ljiljana Kascelan , Suncica Rogic

IGI Global

Segmentation Approach for Athleisure and Performance Sport Retailers Based on Data Mining Techniques

This paper seeks to compare certain customer segments from two sport footwear, apparel, and equipment retailers and to examine an objective market segmentation method, based on the recency, frequency, monetary (RFM) and the decision tree (DT) models. The case study is based on two data sets, aiming to compare the different customer segments, both from sport retail industry, and represents an application of data mining techniques in a business environment. The customer segmentation enables the customer...

Download 2021 Ljiljana Kascelan , Suncica Rogic

Informa UK Limited

Bank CRM Optimization Using Predictive Classification Based on the Support Vector Machine Method

Download 2020 Vladimir Djurisic , Boban Melovic , Ljiljana Kascelan , Suncica Rogic

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