C4.5: programs for machine learning
C4.5: programs for machine learning
From data mining to knowledge discovery: an overview
Advances in knowledge discovery and data mining
Efficient enumeration of frequent sequences
Proceedings of the seventh international conference on Information and knowledge management
Efficient mining of emerging patterns: discovering trends and differences
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
Mining features for sequence classification
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
Sequence mining in categorical domains: incorporating constraints
Proceedings of the ninth international conference on Information and knowledge management
Data mining: concepts and techniques
Data mining: concepts and techniques
Detecting Group Differences: Mining Contrast Sets
Data Mining and Knowledge Discovery
Scalable Feature Mining for Sequential Data
IEEE Intelligent Systems
Text Categorization with Suport Vector Machines: Learning with Many Relevant Features
ECML '98 Proceedings of the 10th European Conference on Machine Learning
Mining Sequential Patterns: Generalizations and Performance Improvements
EDBT '96 Proceedings of the 5th International Conference on Extending Database Technology: Advances in Database Technology
ICDE '95 Proceedings of the Eleventh International Conference on Data Engineering
SPIRIT: Sequential Pattern Mining with Regular Expression Constraints
VLDB '99 Proceedings of the 25th International Conference on Very Large Data Bases
Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
Forward Decoding Kernel Machines: A Hybrid HMM/SVM Approach to Sequence Recognition
SVM '02 Proceedings of the First International Workshop on Pattern Recognition with Support Vector Machines
Sequential PAttern mining using a bitmap representation
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Mining Sequential Patterns by Pattern-Growth: The PrefixSpan Approach
IEEE Transactions on Knowledge and Data Engineering
Scalable sequential pattern mining for biological sequences
Proceedings of the thirteenth ACM international conference on Information and knowledge management
ConsDiff: an algorithm for the detection of conserved differences between protein sequences
Data & Knowledge Engineering - Special issue: Biological data management
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
Sequential patterns for text categorization
Intelligent Data Analysis
Benchmarking the effectiveness of sequential pattern mining methods
Data & Knowledge Engineering
Extending the state-of-the-art of constraint-based pattern discovery
Data & Knowledge Engineering
Mining minimal distinguishing subsequence patterns with gap constraints
Knowledge and Information Systems
Mining frequent tree-like patterns in large datasets
Data & Knowledge Engineering
First-order temporal pattern mining with regular expression constraints
Data & Knowledge Engineering
Sequence-based protein structure prediction using a reduced state-space hidden Markov model
Computers in Biology and Medicine
Mining sequential patterns for protein fold recognition
Journal of Biomedical Informatics
Mining sequential patterns across multiple sequence databases
Data & Knowledge Engineering
On mining multi-time-interval sequential patterns
Data & Knowledge Engineering
ECML PKDD '09 Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part II
Discovering hybrid temporal patterns from sequences consisting of point- and interval-based events
Data & Knowledge Engineering
Debt Detection in Social Security by Adaptive Sequence Classification
KSEM '09 Proceedings of the 3rd International Conference on Knowledge Science, Engineering and Management
An unsupervised approach to activity recognition and segmentation based on object-use fingerprints
Data & Knowledge Engineering
Early prediction of temporal sequences based on information transfer
WAIM'11 Proceedings of the 12th international conference on Web-age information management
Mining recent temporal patterns for event detection in multivariate time series data
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
A bayesian scoring technique for mining predictive and non-spurious rules
ECML PKDD'12 Proceedings of the 2012 European conference on Machine Learning and Knowledge Discovery in Databases - Volume Part II
PMBC: Pattern mining from biological sequences with wildcard constraints
Computers in Biology and Medicine
A temporal pattern mining approach for classifying electronic health record data
ACM Transactions on Intelligent Systems and Technology (TIST) - Survey papers, special sections on the semantic adaptive social web, intelligent systems for health informatics, regular papers
Frequent patterns mining in multiple biological sequences
Computers in Biology and Medicine
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We present a methodology for sequence classification, which employs sequential pattern mining and optimization, in a two-stage process. In the first stage, a sequence classification model is defined, based on a set of sequential patterns and two sets of weights are introduced, one for the patterns and one for classes. In the second stage, an optimization technique is employed to estimate the weight values and achieve optimal classification accuracy. Extensive evaluation of the methodology is carried out, by varying the number of sequences, the number of patterns and the number of classes and it is compared with similar sequence classification approaches.