Digital platoform

Digitalna platforma ima za cilj da konkretne inovacije i tehnološka rešenja, proizvedena od strane akademske i istraživačke zajednice, učini dostupnim privatnim kompanijama. Ovo je usluga za automatsko preuzimanje, sinhronizaciju, sortiranje i prikazivanje informacija sa velikih naučnih platformi kao što su Academia.edu, Google Scholar ili Researchers Gate sa platforme EmpowerHR4Inno. Platforma se inicijalno fokusira na prioritetne sektore, prehrambenu industriju, zdravstveni turizam, horizontalni IT prioritet i nacionalno proizvedena rešenja sa tendencijom daljeg razvoja. Sljedeće informacije se mogu naći:

Biblioteka kurseva sa objavljenim podsadržajem VoS-a, rezultatima, drugim rešenjima i digitalnim alatima i HR modelima;
Skup funkcija koje omogućavaju slanje novijih, objavljenih članaka, radova korisnicima koji se registruju kao zainteresovani za određenu grupu vesti.

ACM

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

Preuzmite dokument 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...

Preuzmite dokument 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...

Preuzmite dokument 2021 Ljiljana Kascelan , Suncica Rogic

Informa UK Limited

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

Preuzmite dokument 2020 Vladimir Djurisic , Boban Melovic , Ljiljana Kascelan , Suncica Rogic

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