Amalgamation of customer relationship management and data analytics in different business sectors—A systematic literature review
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 …
build a better relationship with the customers to cater to their individual needs and thus …
A survey on data provenance in IoT
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 …
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 …
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.
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 …
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
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 …
successfully design and recommend a suitable tariff plan is the ultimate target. The …
Adaptable model based on ensemble learning for different telecommunication data
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 …
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 …
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 …
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 …
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 …
changed. One of the effects of this trend is an increase in the generation of data. Prior …