Title: J48 list ranker based on advanced classifier decision tree induction

Authors: Marian Cristian Mihǎescu; Paul Ştefan Popescu; Dumitru Dan Burdescu

Addresses: Department of Computer Science and Information Technology, University of Craiova, Romania ' Department of Computer Science and Information Technology, University of Craiova, Romania ' Department of Computer Science and Information Technology, University of Craiova, Romania

Abstract: This paper presents a general purpose ranking algorithm called J48 list ranker based on a decision tree induction which exhibits extra functionality for accommodating instances and providing an efficient way to access them in a classification general setup. This computational need arises from the lack of a generic way of accessing classified instances in a ranked order. In general, classifiers are implemented only as data models and have little capability in handling and working with whole set of instances or specific instances. A preliminary study of this augmented classifier is on educational data where instances are represented by users (i.e., learners) and an initial task is to obtain a ranked list of students according with their label/class established by the classifier. This functionality is implemented by the augmented classifier since its design allows loading instances, searching this dense structure and finally accessing the obtained ranking list. Among the most important functionalities implemented by the ranker there are predecessor, successor, the i^th predecessor and the i^th successor.

Keywords: ranking algorithms; J48 list ranker; advanced classifiers; decision tree induction; classification; e-learning; electronic learning; online learning.

DOI: 10.1504/IJCISTUDIES.2015.072879

International Journal of Computational Intelligence Studies, 2015 Vol.4 No.3/4, pp.313 - 324

Received: 09 Dec 2014
Accepted: 09 Dec 2014
Published online: 05 Nov 2015 *

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