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Journal ArticleDOI

An integrated approach to renew software contract using machine learning.

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TLDR
In this article, a machine-learning-based approach was used to set up an efficient process for contract renewal in a large-scale industrial environment, where the contract renewal is critical to maintaining a company's recurring revenue source.
Abstract
Contract renewal is critical to maintaining a company’s recurring revenue source. Therefore, there is a significant emphasis on setting up an efficient process for renewal. In this study, a machine...

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References
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Journal ArticleDOI

Customer relationship management as a business process

TL;DR: In this article, a macro-level cross-functional view of CRM is described and a structure for managing business-to-business relationships to co-create value and increase shareholder value.
Journal ArticleDOI

Customer churn prediction in telecom using machine learning in big data platform

TL;DR: This work develops a churn prediction model which assists telecom operators to predict customers who are most likely subject to churn and builds a new way of features’ engineering and selection on big data platform.
Journal ArticleDOI

Buying Modular Systems in Technology-Intensive Markets:

TL;DR: In this article, the authors identify two focal decision dimensions of the buyer, namely the decision of whether to outsource system integration and how much to concentrate the purchase of system components with one or more suppliers.
Journal ArticleDOI

Fundamental transformations of trust and its drivers: A multi-stage approach of business-to-business relationships

TL;DR: In this paper, a multistage model of trust in business-to-business (B2B) relationships is proposed, which contains three forms of trust with unique drivers and consequences for buyer-supplier relationships.
BookDOI

Machine learning in Python : essential techniques for predictive analysis

TL;DR: Machine Learning in Python simplifies machine learning for a broader audience and wider application by focusing on two algorithm families that effectively predict outcomes, and by showing you how to apply them using the popular and accessible Python programming language.