Search results
-
-
Title
-
Cluster Requiem and the Rise of Cumulative Growth Theory
-
Author
-
Kunkle, Gary
-
Date Created
-
2009
-
Description
-
Industry cluster theory has been the predominant model guiding economic development policy throughout the world for nearly two decades. As appealing as the cluster approach has been to regional scientists and policy makers it suffers from a number...
-
-
Title
-
Cluster Requiem and the Rise of Cumulative Growth Theory
-
Author
-
Kunkle, Gary
-
Date Created
-
2009
-
Subjects--Topical
-
City planning, Public administration
-
Description
-
Industry cluster theory has been the predominant model guiding economic development policy throughout the world for nearly two decades. As appealing as the cluster approach has been to regional scientists and policy makers it suffers from a number...
-
-
Title
-
Customer Loyalty Improvement Recommender System (CLIRS)
-
Author
-
Tarnowska, Katarzyna
-
Date Created
-
2018
-
Description
-
This dissertation presents a novel data-driven approach to solve the problem of improving customer loyalty and customer retention. The data mining concepts of action rules and meta actions are used to extract actionable knowledge from customer sur...
-
-
Title
-
Customer Loyalty Improvement Recommender System (CLIRS)
-
Author
-
Tarnowska, Katarzyna
-
Date Created
-
2018
-
Description
-
This dissertation presents a novel data-driven approach to solve the problem of improving customer loyalty and customer retention. The data mining concepts of action rules and meta actions are used to extract actionable knowledge from customer sur...
-
-
Title
-
Customer Loyalty Improvement Recommender System (CLIRS)
-
Author
-
Tarnowska, Katarzyna
-
Date Created
-
2018
-
Subjects--Topical
-
Computer science
-
Description
-
This dissertation presents a novel data-driven approach to solve the problem of improving customer loyalty and customer retention. The data mining concepts of action rules and meta actions are used to extract actionable knowledge from customer sur...
-
-
Title
-
HYBRID COMPARATIVE PREDICTIVE MODELING
-
Author
-
Nawaz, Mohammad
-
Date Created
-
2017
-
Description
-
In this research, a hybrid predictive model was proposed for the decision-making process. Predictive models can be built through the use of Machine Learning using different classifiers/algorithms to predict results as well as provide recommendatio...
-
-
Title
-
HYBRID COMPARATIVE PREDICTIVE MODELING
-
Author
-
Nawaz, Mohammad
-
Date Created
-
2017
-
Description
-
In this research, a hybrid predictive model was proposed for the decision-making process. Predictive models can be built through the use of Machine Learning using different classifiers/algorithms to predict results as well as provide recommendatio...
-
-
Title
-
HYBRID COMPARATIVE PREDICTIVE MODELING
-
Author
-
Nawaz, Mohammad
-
Date Created
-
2017
-
Subjects--Topical
-
Information technology
-
Description
-
In this research, a hybrid predictive model was proposed for the decision-making process. Predictive models can be built through the use of Machine Learning using different classifiers/algorithms to predict results as well as provide recommendatio...
-
-
Title
-
Hierarchically Structured Recommender System for Improving NPS
-
Author
-
Kuang, Jieyan
-
Date Created
-
2016
-
Description
-
Net Promoter System (NPS) is well known as an evaluation measure of the growth engine of big companies in the business area. The ultimate goal of my research is to build an action rules and meta-actions based recommender system for improving NPS s...
-
-
Title
-
Hierarchically Structured Recommender System for Improving NPS
-
Author
-
Kuang, Jieyan
-
Date Created
-
2016
-
Description
-
Net Promoter System (NPS) is well known as an evaluation measure of the growth engine of big companies in the business area. The ultimate goal of my research is to build an action rules and meta-actions based recommender system for improving NPS s...
-
-
Title
-
Hierarchically Structured Recommender System for Improving NPS
-
Author
-
Kuang, Jieyan
-
Date Created
-
2016
-
Subjects--Topical
-
Computer science, Information technology
-
Description
-
Net Promoter System (NPS) is well known as an evaluation measure of the growth engine of big companies in the business area. The ultimate goal of my research is to build an action rules and meta-actions based recommender system for improving NPS s...