A decision-theoretic generalization of on-line learning and an application to boosting
Journal of Computer and System Sciences - Special issue: 26th annual ACM symposium on the theory of computing & STOC'94, May 23–25, 1994, and second annual Europe an conference on computational learning theory (EuroCOLT'95), March 13–15, 1995
Feature generation for sequence categorization
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Mining features for sequence classification
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
Temporal sequence learning and data reduction for anomaly detection
ACM Transactions on Information and System Security (TISSEC)
Scaling up dynamic time warping for datamining applications
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
Text Classification from Labeled and Unlabeled Documents using EM
Machine Learning - Special issue on information retrieval
Machine learning in automated text categorization
ACM Computing Surveys (CSUR)
Discovery of Web Robot Sessions Based on their Navigational Patterns
Data Mining and Knowledge Discovery
Naive (Bayes) at Forty: The Independence Assumption in Information Retrieval
ECML '98 Proceedings of the 10th European Conference on Machine Learning
Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
ICML '01 Proceedings of the Eighteenth International Conference on Machine Learning
Hierarchical Text Classification and Evaluation
ICDM '01 Proceedings of the 2001 IEEE International Conference on Data Mining
Evaluation of Techniques for Classifying Biological Sequences
PAKDD '02 Proceedings of the 6th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining
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
On effective classification of strings with wavelets
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Text classification using string kernels
The Journal of Machine Learning Research
Frequent-subsequence-based prediction of outer membrane proteins
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
Temporal classification: extending the classification paradigm to multivariate time series
Temporal classification: extending the classification paradigm to multivariate time series
Fast String Kernels using Inexact Matching for Protein Sequences
The Journal of Machine Learning Research
Multi-labelled classification using maximum entropy method
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Protein homology detection using string alignment kernels
Bioinformatics
Large scale genomic sequence SVM classifiers
ICML '05 Proceedings of the 22nd international conference on Machine learning
A Robust Approach to Sequence Classification
ICTAI '05 Proceedings of the 17th IEEE International Conference on Tools with Artificial Intelligence
Discriminatively Trained Markov Model for Sequence Classification
ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining
Traffic classification on the fly
ACM SIGCOMM Computer Communication Review
ICML '06 Proceedings of the 23rd international conference on Machine learning
Fast time series classification using numerosity reduction
ICML '06 Proceedings of the 23rd international conference on Machine learning
Semi-supervised time series classification
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Real-time classification of variable length multi-attribute motions
Knowledge and Information Systems
Some Effective Techniques for Naive Bayes Text Classification
IEEE Transactions on Knowledge and Data Engineering
Mining minimal distinguishing subsequence patterns with gap constraints
Knowledge and Information Systems
Experiencing SAX: a novel symbolic representation of time series
Data Mining and Knowledge Discovery
Boosting interval based literals
Intelligent Data Analysis
Compressed indexing and local alignment of DNA
Bioinformatics
Sequence Matching for Suspicious Activity Detection in Anti-Money Laundering
PAISI, PACCF and SOCO '08 Proceedings of the IEEE ISI 2008 PAISI, PACCF, and SOCO international workshops on Intelligence and Security Informatics
Proceedings of the VLDB Endowment
Proceedings of the 2009 workshop on Web Search Click Data
Time series shapelets: a new primitive for data mining
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Early prediction on time series: a nearest neighbor approach
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
Sequence Data Mining
Early fault classification in dynamic systems using case-based reasoning
CAEPIA'05 Proceedings of the 11th Spanish association conference on Current Topics in Artificial Intelligence
Learning interpretable SVMs for biological sequence classification
RECOMB'05 Proceedings of the 9th Annual international conference on Research in Computational Molecular Biology
Software process evaluation: A machine learning approach
ASE '11 Proceedings of the 2011 26th IEEE/ACM International Conference on Automated Software Engineering
Life-logging of wheelchair driving on web maps for visualizing potential accidents and incidents
PRICAI'12 Proceedings of the 12th Pacific Rim international conference on Trends in Artificial Intelligence
Augmenting digital documents with negotiation capability
Proceedings of the 2013 ACM symposium on Document engineering
Early prediction on imbalanced multivariate time series
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
A metric learning based approach to evaluate task-specific time series similarity
WAIM'13 Proceedings of the 14th international conference on Web-Age Information Management
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Sequence classification has a broad range of applications such as genomic analysis, information retrieval, health informatics, finance, and abnormal detection. Different from the classification task on feature vectors, sequences do not have explicit features. Even with sophisticated feature selection techniques, the dimensionality of potential features may still be very high and the sequential nature of features is difficult to capture. This makes sequence classification a more challenging task than classification on feature vectors. In this paper, we present a brief review of the existing work on sequence classification. We summarize the sequence classification in terms of methodologies and application domains. We also provide a review on several extensions of the sequence classification problem, such as early classification on sequences and semi-supervised learning on sequences.