Amalgamation of customer relationship management and data analytics in different business sectors—A systematic literature review

L Saha, HK Tripathy, SR Nayak, AK Bhoi, P Barsocchi - Sustainability, 2021 - mdpi.com
Customization of products or services is a strategy that the business sector has embraced to
build a better relationship with the customers to cater to their individual needs and thus …

A survey on data provenance in IoT

R Hu, Z Yan, W Ding, LT Yang - World Wide Web, 2020 - Springer
Abstract Internet of Things (IoT), as a typical representation of cyberization, enables the
interconnection of physical things and the Internet, which provides intelligent and advanced …

Improving debt collection via contact center information: A predictive analytics framework

C Sánchez, S Maldonado, C Vairetti - Decision Support Systems, 2022 - Elsevier
Debt collection is a very important business application of predictive analytics. This task
consists of foreseeing repayment chances of late payers. In this sense, contact centers have …

IAM-TSP: Iterative Approximate Methods for Solving the Travelling Salesman Problem.

E Alkafaween, S Elmougy, E Essa… - International …, 2023 - search.ebscohost.com
TSP is a well-known combinatorial optimization problem with several practical applications.
It is an NP-hard problem, which means that the optimal solution for huge numbers of …

[PDF][PDF] A machine learning model for personalized tariff plan based on customer's behavior in the telecom industry

L Saha, HK Tripathy, F Masmoudi… - … Journal of Advanced …, 2022 - pdfs.semanticscholar.org
In the telecommunication industry, being able to predict customers' behavioral pattern to
successfully design and recommend a suitable tariff plan is the ultimate target. The …

Adaptable model based on ensemble learning for different telecommunication data

L Saha, HK Tripathy, K Shaalan - … International Conference on …, 2022 - ieeexplore.ieee.org
The ultimate goal in designing and recommending an appropriate tariff plan is to be able to
predict customers' behavioral patterns in light of the current situation in the …

Developing an architectural framework for facilitating transformation towards data-driven organizations

K Kayabay - 2022 - open.metu.edu.tr
Paradigm shifts such as digital transformation and Industry 4.0 produce complex data, also
called big data. Businesses increasingly focus on exploiting big data for competitive …

Mathematical formulation and implementation of query inversion techniques in RDBMS for tracking data provenance

A Tabassum, AI Nady, MR Huq - 2019 7th International …, 2019 - ieeexplore.ieee.org
Nowadays the massive amount of data is produced from different sources and lots of
applications are processing these data to discover insights. Sometimes we may get …

Secure provenance-based communication using visual encryption

KP Kumar, RC Cherukuri - International Journal of …, 2019 - inderscienceonline.com
Explicit specification of the historical record of an instance or a data item is called data
provenance. It has many applications in various fields with regards to its importance on …

MORE DATA AND MORE DATA: THE MAIN CHALLENGES FOR SMALL ORGANIZATIONS IN USING BIG DATA ANALYTICS

SA Gbadegeshin, A Al Natsheh, A Kuoppala… - ICERI2021 …, 2021 - library.iated.org
With continuous advancements and use of digitalization, the business ecosystem has
changed. One of the effects of this trend is an increase in the generation of data. Prior …