PODS '96 Proceedings of the fifteenth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems
Breaking the barrier of transactions: mining inter-transaction association rules
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
Knowledge Discovery from Series of Interval Events
Journal of Intelligent Information Systems - Data warehousing and knowledge discovery
Principles of data mining
Discovery of Frequent Episodes in Event Sequences
Data Mining and Knowledge Discovery
Scalable Algorithms for Association Mining
IEEE Transactions on Knowledge and Data Engineering
Simple association rules (SAR) and the SAR-based rule discovery
Computers and Industrial Engineering
Efficient Mining of Intertransaction Association Rules
IEEE Transactions on Knowledge and Data Engineering
ICDM '01 Proceedings of the 2001 IEEE International Conference on Data Mining
PKDD '97 Proceedings of the First European Symposium on Principles of Data Mining and Knowledge Discovery
Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
Discovering Temporal Patterns for Interval-Based Events
DaWaK 2000 Proceedings of the Second International Conference on Data Warehousing and Knowledge Discovery
Discovering Sequential Association Rules with Constraints and Time Lags in Multiple Sequences
ISMIS '02 Proceedings of the 13th International Symposium on Foundations of Intelligent Systems
Minimum Message Length Segmentation
PAKDD '98 Proceedings of the Second Pacific-Asia Conference on Research and Development in Knowledge Discovery and Data Mining
Discovering interpretable muscle activation patterns with the temporal data mining method
PKDD '04 Proceedings of the 8th European Conference on Principles and Practice of Knowledge Discovery in Databases
Data Mining: Concepts and Techniques
Data Mining: Concepts and Techniques
Time-series data mining in a geospatial decision support system
dg.o '03 Proceedings of the 2003 annual national conference on Digital government research
Feature-based recognition of control chart patterns
Computers and Industrial Engineering
Mining for similarities in time series data using wavelet-based feature vectors and neural networks
Engineering Applications of Artificial Intelligence
Pattern recognition in time series database: A case study on financial database
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Data & Knowledge Engineering
Efficient mining of understandable patterns from multivariate interval time series
Data Mining and Knowledge Discovery
Efficient mining of frequent episodes from complex sequences
Information Systems
Computers and Industrial Engineering
Efficient mining of salinity and temperature association rules from ARGO data
Expert Systems with Applications: An International Journal
Human-computer cooperative layout design method and its application
Computers and Industrial Engineering
Development of an intelligent quality management system using fuzzy association rules
Expert Systems with Applications: An International Journal
Sequential association rules for forecasting failure patterns of aircrafts in Korean airforce
Expert Systems with Applications: An International Journal
Fuzzy expert systems and challenge of new product pricing
Computers and Industrial Engineering
Marking the Close analysis in Thai Bond Market Surveillance using association rules
Expert Systems with Applications: An International Journal
Establishing relationships among patterns in stock market data
Data & Knowledge Engineering
Recognition of control chart patterns using improved selection of features
Computers and Industrial Engineering
Sequential pattern mining algorithm for automotive warranty data
Computers and Industrial Engineering
Temporal data mining for the quality assessment of hemodialysis services
Artificial Intelligence in Medicine
Discovery and prevention of attack episodes by frequent episodes mining and finite state machines
Journal of Network and Computer Applications
A MIP approach for balancing transfer line with complex industrial constraints
Computers and Industrial Engineering
An efficient algorithm for mining time interval-based patterns in large database
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
A review on time series data mining
Engineering Applications of Artificial Intelligence
Data mining for quality control: Burr detection in the drilling process
Computers and Industrial Engineering
Review: A review of data mining applications for quality improvement in manufacturing industry
Expert Systems with Applications: An International Journal
Mining association rules in long sequences
PAKDD'10 Proceedings of the 14th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining - Volume Part I
Knowledge discovery in time series databases
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Mining association rules for the quality improvement of the production process
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
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This paper presents an experience based on the use of association rules from multiple time series captured from industrial processes. The main goal is to seek useful knowledge for explaining failures in these processes. An overall method is developed to obtain association rules that represent the repeated relationships between pre-defined episodes in multiple time series, using a time window and a time lag. First, the process involves working in an iterative and interactive manner with several pre-processing and segmentation algorithms for each kind of time series in order to obtain significant events. In the next step, a search is made for sequences of events called episodes that are repeated among the various time series according to a pre-set consequent, a pre-established time window and a time lag. Extraction is then made of the association rules for those episodes that appear many times and have a high rate of hits. Finally, a case study is described regarding the application of this methodology to a historical database of 150 variables from an industrial process for galvanizing steel coils.