Fuzzy time series and its models
Fuzzy Sets and Systems
Forecasting enrollments with fuzzy time series—part I
Fuzzy Sets and Systems
Forecasting enrollments with fuzzy time series—part II
Fuzzy Sets and Systems
Fuzzy sets and fuzzy logic: theory and applications
Fuzzy sets and fuzzy logic: theory and applications
Forecasting enrollments based on fuzzy time series
Fuzzy Sets and Systems
Handling forecasting problems using fuzzy time series
Fuzzy Sets and Systems
Data mining: practical machine learning tools and techniques with Java implementations
Data mining: practical machine learning tools and techniques with Java implementations
Expert Systems: Principles and Programming
Expert Systems: Principles and Programming
On the need for time series data mining benchmarks: a survey and empirical demonstration
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Finding surprising patterns in a time series database in linear time and space
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
A symbolic representation of time series, with implications for streaming algorithms
DMKD '03 Proceedings of the 8th ACM SIGMOD workshop on Research issues in data mining and knowledge discovery
Foundations of Soft Case-Based Reasoning
Foundations of Soft Case-Based Reasoning
Financial prediction and trading strategies using neurofuzzyapproaches
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Temperature prediction using fuzzy time series
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IEEE Transactions on Neural Networks
Forecasting volatility with neural regression: A contribution to model adequacy
IEEE Transactions on Neural Networks
A comparison of nonlinear methods for predicting earnings surprises and returns
IEEE Transactions on Neural Networks
Support vector machine with adaptive parameters in financial time series forecasting
IEEE Transactions on Neural Networks
Similarity based method for manufacturing process performance prediction and diagnosis
Computers in Industry
Efficient moving average transform-based subsequence matching algorithms in time-series databases
Information Sciences: an International Journal
Expert Systems with Applications: An International Journal
A fuzzy engine model for efficient stock market prediction
CIMMACS'06 Proceedings of the 5th WSEAS International Conference on Computational Intelligence, Man-Machine Systems and Cybernetics
Fuzzy dual-factor time-series for stock index forecasting
Expert Systems with Applications: An International Journal
A FCM-based deterministic forecasting model for fuzzy time series
Computers & Mathematics with Applications
A computational method of forecasting based on fuzzy time series
Mathematics and Computers in Simulation
Establishing relationships among patterns in stock market data
Data & Knowledge Engineering
Mining closed patterns in multi-sequence time-series databases
Data & Knowledge Engineering
Mining Candlesticks Patterns on Stock Series: A Fuzzy Logic Approach
ADMA '09 Proceedings of the 5th International Conference on Advanced Data Mining and Applications
An efficient approach for building customer profiles from business data
Expert Systems with Applications: An International Journal
Deterministic vector long-term forecasting for fuzzy time series
Fuzzy Sets and Systems
Frequency-weighted fuzzy time-series based on fibonacci sequence for TAIEX forecasting
PAKDD'07 Proceedings of the 2007 international conference on Emerging technologies in knowledge discovery and data mining
An application of fuzzy time series to improve ISE forecasting
WSEAS Transactions on Mathematics
Fuzzy sets in machine learning and data mining
Applied Soft Computing
Stock trading with cycles: A financial application of ANFIS and reinforcement learning
Expert Systems with Applications: An International Journal
A vector forecasting model for fuzzy time series
Applied Soft Computing
Change a sequence into a fuzzy number
ADMA'10 Proceedings of the 6th international conference on Advanced data mining and applications - Volume Part II
Multivariate fuzzy forecasting based on fuzzy time series and automatic clustering techniques
Expert Systems with Applications: An International Journal
Analytical approach to similarity-based prediction of manufacturing system performance
Computers in Industry
Information and Software Technology
Mining sequential patterns with extensible knowledge representation
Intelligent Data Analysis
Fuzzy artificial neural network p, d, q model for incomplete financial time series forecasting
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
| Hi-index | 0.01 |
A fuzzy time series data representation method based on the Japanese candlestick theory is proposed and used in assisting financial prediction. The Japanese candlestick theory is an empirical model of investment decision. The theory assumes that the candlestick patterns reflect the psychology of the market, and the investors can make their investment decision based on the identified candlestick patterns. We model the imprecise and vague candlestick patterns with fuzzy linguistic variables and transfer the financial time series data to fuzzy candlestick patterns for pattern recognition. A fuzzy candlestick pattern can bridge the gap between the investors and the system designer because it is visual, computable, and modifiable. The investors are not only able to understand the prediction process, but also to improve the efficiency of prediction results. The proposed approach is applied to financial time series forecasting problem for demonstration. By the prototype system which has been established, the investment expertise can be stored in the knowledge base, and the fuzzy candlestick pattern can also be identified automatically from a large amount of the financial trading data.