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Authors: Eugene Santos Jr. 1 ; Qi Gu 1 ; Eunice E. Santos 2 and John Korah 2

Affiliations: 1 Dartmouth College, United States ; 2 The University of Texas at El Paso, United States

ISBN: 978-989-8565-29-7

Keyword(s): Belief Change, Behaviour Change, Finite Belief Fusion Model, Hidden Source Detection.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Business Analytics ; Concept Mining ; Data Analytics ; Data Engineering ; Information Extraction ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Process Mining ; Symbolic Systems

Abstract: A person’s beliefs and attitudes may change multiple times as they gain additional information/perceptions from various external sources, which in turn, may affect their subsequent behavior. Such influential sources, however, are often invisible to the public due to a variety of reasons – private communications, what one randomly reads or hears, and implicit social hierarchies, to name a few. Many efforts have focused on detecting distribution variations. However, the underlying reason for the variation has yet to be fully studied. In this paper, we present a novel approach and algorithm to detect such hidden sources, as well as capture and characterize the patterns of their impact with regards to the belief-changing trend. We formalize this problem as a finite belief fusion model and solve it via an optimization method. Finally, we compare our work with general mixture models, e.g. Gaussian Mixture Model. We present promising preliminary results obtained from proof-of-concept experim ents conducted on both synthetic data and a real-world scenario. (More)

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Paper citation in several formats:
Santos Jr., E.; Gu, Q.; E. Santos, E. and Korah, J. (2012). Finite Belief Fusion Model for Hidden Source Behavior Change Detection.In Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2012) ISBN 978-989-8565-29-7, pages 17-24. DOI: 10.5220/0004130100170024

@conference{kdir12,
author={Eugene Santos Jr.. and Qi Gu. and Eunice E. Santos. and John Korah.},
title={Finite Belief Fusion Model for Hidden Source Behavior Change Detection},
booktitle={Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2012)},
year={2012},
pages={17-24},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004130100170024},
isbn={978-989-8565-29-7},
}

TY - CONF

JO - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2012)
TI - Finite Belief Fusion Model for Hidden Source Behavior Change Detection
SN - 978-989-8565-29-7
AU - Santos Jr., E.
AU - Gu, Q.
AU - E. Santos, E.
AU - Korah, J.
PY - 2012
SP - 17
EP - 24
DO - 10.5220/0004130100170024

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