Pattern mining for label ranking

Leiden Repository

Pattern mining for label ranking

Type: Doctoral Thesis
Title: Pattern mining for label ranking
Author: Pinho Rebelo de Sá, C.F.
Issue Date: 2016-12-16
Keywords: Label Ranking
Patter Mining
Preference Learning
Association Rules
Abstract: Preferences have always been present in many tasks in our daily lives. Buying the right car, choosing a suitable house or even deciding on the food to eat, are trivial examples of decisions that reveal information, explicitly or implicitly, about our preferences. The recent trend of collecting increasing amounts of data is also true for preference data. Extracting and modeling preferences can provide us with invaluable information about the choices of groups or individuals. In areas like e-commerce, which typically deal with decisions from thousands of users, the acquisition of preferences can be a difficult task. For these reasons, artificial intelligence (in particular, machine learning) methods have been increasingly important to the discovery and automatic learning of models about preferences. In this Ph.D. project, several approaches were analyzed and proposed to deal with the LR problem. Most of which has focused on pattern mining methods.
Promotor: Supervisor: J.N. Kok Co-Supervisor: C.M. Soares, A.J. Knobbe
Faculty: Science
University: Leiden

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application/pdf Full Text 1.021Mb Under embargo until 2018-06-16
application/pdf Cover 1.722Mb View/Open
application/pdf Title Pages_Contents 167.9Kb View/Open
application/pdf Chapter 1 333.2Kb View/Open
application/pdf Chapter 2 462.4Kb Under embargo until 2018-06-16
application/pdf Chapter 3 445.4Kb View/Open Full text at publisher site
application/pdf Chapter 4 374.7Kb View/Open Full text at publisher site
application/pdf Chapter 5 412.0Kb View/Open
application/pdf Chapter 6 341.3Kb View/Open
application/pdf Chapter 7 200.7Kb View/Open
application/pdf Bibliography 175.0Kb View/Open
application/pdf Summary in Dutch 150.3Kb View/Open
application/pdf Summary in English 148.5Kb View/Open
application/pdf Summary in Portugese 149.2Kb View/Open
application/pdf Acknowledgements_Curriculum Vitae 161.4Kb View/Open
application/pdf Propositions 107.6Kb View/Open
application/pdf Links to published articles Chapters 4, 5 and 6 11.74Kb View/Open

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