An aggregation approach to short-term traffic flow prediction
IEEE Transactions on Intelligent Transportation Systems
Self-projecting time series forecast - an online stock trend forecast system
ISPA'03 Proceedings of the 2003 international conference on Parallel and distributed processing and applications
Coordinated graph and scatter-plot views for the visual exploration of microarray time-series data
INFOVIS'03 Proceedings of the Ninth annual IEEE conference on Information visualization
Time series forecasting through rule-based models obtained via rough sets
Artificial Intelligence Review
Improving the performance of fuzzy rules-based forecasters through application of FCM algorithm
Artificial Intelligence Review
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From the Publisher:This introductory exploration of the principal approaches to time series and forecasting processes explains theories and applications for the social science student. Professor Yaffee devotes significant space to a discussion of how we conceptualize, model, and forecast. He also examines text, model, and forecast evaluation and comparison, and he emphasizes time series programming techniques. Readers can investigate examples from public opinion research, policy analysis, political science, economics, and sociology by using SAS ® and SPSS ® program syntax and data sets available at a free Web site. For those interested in understanding the past or predicting future possibilities and probabilities, this book reveals the power of time series analysis.