Ab initio Tertiary Structure Prediction of Proteins
Journal of Global Optimization
Rapid Design of Neural Networks for Time Series Prediction
IEEE Computational Science & Engineering
A New Markov Model For Web Access Prediction
Computing in Science and Engineering
Supporting Trust in Virtual Communities
HICSS '00 Proceedings of the 33rd Hawaii International Conference on System Sciences-Volume 6 - Volume 6
Combinatorial time series forecasting based on clustering algorithms and neural networks
Neural Computing and Applications
Trust and Reputation for Service-Oriented Environments: Technologies For Building Business Intelligence And Consumer Confidence
StockMarket Forecasting Using Hidden Markov Model: A New Approach
ISDA '05 Proceedings of the 5th International Conference on Intelligent Systems Design and Applications
The Web and Complex Adaptive Systems
AINA '06 Proceedings of the 20th International Conference on Advanced Information Networking and Applications - Volume 02
Development and Evaluation of Decision-Making Model for Stock Markets
Journal of Global Optimization
Predicting trusts among users of online communities: an epinions case study
Proceedings of the 9th ACM conference on Electronic commerce
Evolutionary Prediction of Online Keywords Bidding
EC-Web '08 Proceedings of the 9th international conference on E-Commerce and Web Technologies
A robust methodology for prediction of trust and reputation values
Proceedings of the 2008 ACM workshop on Secure web services
Community gravity: measuring bidirectional effects by trust and rating on online social networks
Proceedings of the 18th international conference on World wide web
Fuzzy Regression Based Trust Prediction in Service-Oriented Applications
ATC '09 Proceedings of the 6th International Conference on Autonomic and Trusted Computing
Enriching Trust Prediction Model in Social Network with User Rating Similarity
CASON '09 Proceedings of the 2009 International Conference on Computational Aspects of Social Networks
Time Series Prediction with Multilayer Perceptron (MLP): A New Generalized Error Based Approach
Advances in Neuro-Information Processing
Trust relationship prediction using online product review data
Proceedings of the 1st ACM international workshop on Complex networks meet information & knowledge management
Start Trusting Strangers? Bootstrapping and Prediction of Trust
WISE '09 Proceedings of the 10th International Conference on Web Information Systems Engineering
On simulation of optimal strategies and Nash equilibrium in the financial market context
Journal of Global Optimization
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
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The modelling and management of trust between interacting parties are crucial parts of the overall business intelligence strategy for any organization. Predicting trust values is a key element of modelling and managing trust. It is of critical importance when the interaction is to be conducted at a future point in time. In the existing body of work, there are a few approaches for predicting trust. However, none of these approaches proposes a framework or methodology by which the predicted trust value can be considered in light of its accuracy or confidence level. This is a key element in order to ensure optimized trust prediction. In this paper, we propose a methodology to address this critical issue. The methodology comprises a suite of metrics--maturity, distance and density (MD2) which are capable of capturing various aspects of the confidence level in the predicted trust value. The proposed methodology is exemplified with the help of case studies.