Discovering Patterns in Flows: A Privacy Preserving Approach with the ACSM Prototype
ECML PKDD '09 Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part II
VOGUE: A variable order hidden Markov model with duration based on frequent sequence mining
ACM Transactions on Knowledge Discovery from Data (TKDD)
Partial Symbol Ordering Distance
MDAI '09 Proceedings of the 6th International Conference on Modeling Decisions for Artificial Intelligence
Margin-closed frequent sequential pattern mining
Proceedings of the ACM SIGKDD Workshop on Useful Patterns
A Hybrid Higher Order Neural Classifier for handling classification problems
Expert Systems with Applications: An International Journal
ICDM'10 Proceedings of the 10th industrial conference on Advances in data mining: applications and theoretical aspects
A brief survey on sequence classification
ACM SIGKDD Explorations Newsletter
Educational data mining: a review of the state of the art
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Towards bounding sequential patterns
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
A text-based decision support system for financial sequence prediction
Decision Support Systems
Software process evaluation: A machine learning approach
ASE '11 Proceedings of the 2011 26th IEEE/ACM International Conference on Automated Software Engineering
Discovering linguistic patterns using sequence mining
CICLing'12 Proceedings of the 13th international conference on Computational Linguistics and Intelligent Text Processing - Volume Part I
What about sequential data mining techniques to identify linguistic patterns for stylistics?
CICLing'12 Proceedings of the 13th international conference on Computational Linguistics and Intelligent Text Processing - Volume Part I
Removal and interpolation of missing values using wavelet neural network for heterogeneous data sets
Proceedings of the International Conference on Advances in Computing, Communications and Informatics
Counterexample explanation by anomaly detection
SPIN'12 Proceedings of the 19th international conference on Model Checking Software
A Data-Driven Approach to Measure Web Site Navigability
Journal of Management Information Systems
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Understanding sequence data, and the ability to utilize this hidden knowledge, creates a significant impact on many aspects of our society. Examples of sequence data include DNA, protein, customer purchase history, web surfing history, and more. Sequence Data Mining provides balanced coverage of the existing results on sequence data mining, as well as pattern types and associated pattern mining methods. While there are several books on data mining and sequence data analysis, currently there are no books that balance both of these topics. This professional volume fills in the gap, allowing readers to access state-of-the-art results in one place. Sequence Data Mining is designed for professionals working in bioinformatics, genomics, web services, and financial data analysis. This book is also suitable for advanced-level students in computer science and bioengineering. Forward by ProfessorJiawei Han,University of Illinois at Urbana-Champaign.