Finding patterns in time series: a dynamic programming approach
Advances in knowledge discovery and data mining
Multidimensional curve classification using passing—through regions
Pattern Recognition Letters - Special issue on pattern recognition in practice VI
Deformable Markov model templates for time-series pattern matching
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
Scaling up dynamic time warping for datamining applications
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
Automatic Learning Techniques in Power Systems
Automatic Learning Techniques in Power Systems
Learning Comprehensible Descriptions of Multivariate Time Series
ICML '99 Proceedings of the Sixteenth International Conference on Machine Learning
Local feature extraction and its applications using a library of bases
Local feature extraction and its applications using a library of bases
Supervised classification with temporal data
Supervised classification with temporal data
Finding Structural Similarity in Time Series Data Using Bag-of-Patterns Representation
SSDBM 2009 Proceedings of the 21st International Conference on Scientific and Statistical Database Management
A new class of attacks on time series data mining\m{1}
Intelligent Data Analysis
Discrete wavelet transform-based time series analysis and mining
ACM Computing Surveys (CSUR)
A review on time series data mining
Engineering Applications of Artificial Intelligence
Time series shapelets: a novel technique that allows accurate, interpretable and fast classification
Data Mining and Knowledge Discovery
Discretization of time series dataset using relative frequency and K-nearest neighbor approach
ADMA'10 Proceedings of the 6th international conference on Advanced data mining and applications: Part I
A novel clustering method on time series data
Expert Systems with Applications: An International Journal
Scalable kNN search on vertically stored time series
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
Classification trees for time series
Pattern Recognition
Stock time series categorization and clustering via SB-Tree optimization
FSKD'06 Proceedings of the Third international conference on Fuzzy Systems and Knowledge Discovery
Decision forest for multivariate time series analysis
Proceedings of the 13th International Conference on Information Integration and Web-based Applications and Services
Segment and combine approach for non-parametric time-series classification
PKDD'05 Proceedings of the 9th European conference on Principles and Practice of Knowledge Discovery in Databases
TWStream: finding correlated data streams under time warping
APWeb'06 Proceedings of the 8th Asia-Pacific Web conference on Frontiers of WWW Research and Development
Classifying motion time series using neural networks
PCM'06 Proceedings of the 7th Pacific Rim conference on Advances in Multimedia Information Processing
Experimental evaluation of time-series decision tree
AM'03 Proceedings of the Second international conference on Active Mining
Features for learning local patterns in time-stamped data
LPD'04 Proceedings of the 2004 international conference on Local Pattern Detection
Clustering time-series medical databases based on the improved multiscale matching
ISMIS'05 Proceedings of the 15th international conference on Foundations of Intelligent Systems
Deductive and inductive reasoning on spatio-temporal data
INAP'04/WLP'04 Proceedings of the 15th international conference on Applications of Declarative Programming and Knowledge Management, and 18th international conference on Workshop on Logic Programming
Multivariate stream data classification using simple text classifiers
DEXA'06 Proceedings of the 17th international conference on Database and Expert Systems Applications
ACM Computing Surveys (CSUR)
Rotation-invariant similarity in time series using bag-of-patterns representation
Journal of Intelligent Information Systems
Experimental comparison of representation methods and distance measures for time series data
Data Mining and Knowledge Discovery
Preserving Privacy in Time Series Data Mining
International Journal of Data Warehousing and Mining
A time series forest for classification and feature extraction
Information Sciences: an International Journal
An approach to dimensionality reduction in time series
Information Sciences: an International Journal
Hi-index | 0.00 |
In this paper, we propose some new tools to allow machine learning classifiers to cope with time series data. We first argue that many time-series classification problems can be solved by detecting and combining local properties or patterns in time series. Then, a technique is proposed to find patterns which are useful for classification. These patterns are combined to build interpretable classification rules. Experiments, carried out on several artificial and real problems, highlight the interest of the approach both in terms of interpretability and accuracy of the induced classifiers.