Performance evaluation of classification methods in cultural modeling

Authors:
Xiaochen Li;Wenji Mao;Daniel Zeng;Peng Su;Fei-Yue Wang
Affiliations:
Key Laboratory of Complex Systems and Intelligence Sciences, Institute of Automation, Chinese Academy of Sciences, Beijing, China;Key Laboratory of Complex Systems and Intelligence Sciences, Institute of Automation, Chinese Academy of Sciences, Beijing, China;Key Laboratory of Complex Systems and Intelligence Sciences, Institute of Automation, Chinese Academy of Sciences, Beijing, China and Department of Management Information Systems, University of Ar ...;Key Laboratory of Complex Systems and Intelligence Sciences, Institute of Automation, Chinese Academy of Sciences, Beijing and School of Management Engineering, Shandong Jianzhu University, Jinan, ...;Key Laboratory of Complex Systems and Intelligence Sciences, Institute of Automation, Chinese Academy of Sciences, Beijing, China
Venue:
ISI'09 Proceedings of the 2009 IEEE international conference on Intelligence and security informatics
Year:
2009

Citing 15
Cited 1

Artificial Neural Networks: A Tutorial

Computer - Special issue: neural computing: companion issue to Spring 1996 IEEE Computational Science & Engineering
Neural Networks for Pattern Recognition

Neural Networks for Pattern Recognition
Random Forests

Machine Learning
A Lazy Approach to Pruning Classification Rules

ICDM '02 Proceedings of the 2002 IEEE International Conference on Data Mining
One-class svms for document classification

The Journal of Machine Learning Research
Editorial: special issue on learning from imbalanced data sets

ACM SIGKDD Explorations Newsletter - Special issue on learning from imbalanced datasets
The Influence of Class Imbalance on Cost-Sensitive Learning: An Empirical Study

ICDM '06 Proceedings of the Sixth International Conference on Data Mining
CARA: A Cultural-Reasoning Architecture

IEEE Intelligent Systems
Social Computing: From Social Informatics to Social Intelligence

IEEE Intelligent Systems
The class imbalance problem: A systematic study

Intelligent Data Analysis
Guest Editors' Introduction: Social Computing

IEEE Intelligent Systems
Toward a Paradigm Shift in Social Computing: The ACP Approach

IEEE Intelligent Systems
CONVEX: Similarity-Based Algorithms for Forecasting Group Behavior

IEEE Intelligent Systems
Is Culture Computable?

IEEE Intelligent Systems
Data sparsity issues in the collaborative filtering framework

WebKDD'05 Proceedings of the 7th international conference on Knowledge Discovery on the Web: advances in Web Mining and Web Usage Analysis

On social computing research collaboration patterns: a social network perspective

Frontiers of Computer Science in China

Quantified Score

Hi-index	0.00

Visualization

Abstract

Cultural modeling is an emergent and promising research area in social computing. It aims to develop behavioral models of groups and analyze the impact of culture factors on group behavior using computational methods. Classification methods play a critical role in cultural modeling domain. As various cultural-related datasets possess different properties, for group behavior prediction, it is important to gain a computational understanding of the performance of various classification methods. In this paper, we investigate the performance of seven representative classification algorithms using a benchmark cultural modeling dataset and analyze the experimental results.