Data mining for process and quality control in the semiconductor industry
Data mining for design and manufacturing
Bursty and hierarchical structure in streams
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Bursty and Hierarchical Structure in Streams
Data Mining and Knowledge Discovery
A Compact and Accurate Model for Classification
IEEE Transactions on Knowledge and Data Engineering
A model for mining outliers from complex data sets
Proceedings of the 2004 ACM symposium on Applied computing
Evolutionary Rule Mining in Time Series Databases
Machine Learning
Inferring definite-clause grammars to express multivariate time series
IEA/AIE'2005 Proceedings of the 18th international conference on Innovations in Applied Artificial Intelligence
Algorithms for time series knowledge mining
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Feature-based generators for time series data
WSC '05 Proceedings of the 37th conference on Winter simulation
Extracting interpretable muscle activation patterns with time series knowledge mining
International Journal of Knowledge-based and Intelligent Engineering Systems
Efficient mining of understandable patterns from multivariate interval time series
Data Mining and Knowledge Discovery
Data mining with Temporal Abstractions: learning rules from time series
Data Mining and Knowledge Discovery
Online classification of nonstationary data streams
Intelligent Data Analysis
Unsupervised pattern mining from symbolic temporal data
ACM SIGKDD Explorations Newsletter - Special issue on data mining for health informatics
Perception-based approach to time series data mining
Applied Soft Computing
Representing financial time series based on data point importance
Engineering Applications of Artificial Intelligence
Temporal pattern matching for the prediction of stock prices
AIDM '07 Proceedings of the 2nd international workshop on Integrating artificial intelligence and data mining - Volume 84
Discovering original motifs with different lengths from time series
Knowledge-Based Systems
A framework for visualization and exploration of events
Information Visualization
Fuzzy Knowledge Discovery from Time Series Data for Events Prediction
PRICAI '08 Proceedings of the 10th Pacific Rim International Conference on Artificial Intelligence: Trends in Artificial Intelligence
Using sonification for mining time series data
Proceedings of the 9th International Workshop on Multimedia Data Mining: held in conjunction with the ACM SIGKDD 2008
Relative rank statistics for dialog analysis
EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Modified Gath--Geva clustering for fuzzy segmentation of multivariate time-series
Fuzzy Sets and Systems
Intelligent agents for real time data mining in telecommunications networks
AIS-ADM'07 Proceedings of the 2nd international conference on Autonomous intelligent systems: agents and data mining
A review on time series data mining
Engineering Applications of Artificial Intelligence
CIMMACS '10 Proceedings of the 9th WSEAS international conference on computational intelligence, man-machine systems and cybernetics
Neuro-genetic system for stock index prediction
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology - Evolutionary neural networks for practical applications
Mining the “Voice of the Customer” for Business Prioritization
ACM Transactions on Intelligent Systems and Technology (TIST)
CIS'05 Proceedings of the 2005 international conference on Computational Intelligence and Security - Volume Part I
Discovering key sequences in time series data for pattern classification
ICDM'06 Proceedings of the 6th Industrial Conference on Data Mining conference on Advances in Data Mining: applications in Medicine, Web Mining, Marketing, Image and Signal Mining
Mining association rules from time series to explain failures in a hot-dip galvanizing steel line
Computers and Industrial Engineering
Knowledge-Guided clustering of large-scale time series under wavelet transformation
AICI'12 Proceedings of the 4th international conference on Artificial Intelligence and Computational Intelligence
Combining motif information and neural network for time series prediction
International Journal of Business Intelligence and Data Mining
Ship maneuvering modeling based on fuzzy rules extraction and optimization
ISNN'13 Proceedings of the 10th international conference on Advances in Neural Networks - Volume Part II
Research on Aided Decision-making System based on Data Mining for Disaster of Storm Tide
Proceedings of the Second International Conference on Innovative Computing and Cloud Computing
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Adding the dimension of time to databases produces time series databases (TSDB) and introduces new aspects and difficulties to data mining and knowledge discovery. In this correspondence, we introduce a general methodology for knowledge discovery in TSDB. The process of knowledge discovery in TSDR includes cleaning and filtering of time series data, identifying the most important predicting attributes, and extracting a set of association rules that can be used to predict the time series behavior in the future. Our method is based on signal processing techniques and the information-theoretic fuzzy approach to knowledge discovery. The computational theory of perception (CTP) is used to reduce the set of extracted rules by fuzzification and aggregation. We demonstrate our approach on two types of time series: stock-market data and weather data