Evaluating a class of distance-mapping algorithms for data mining and clustering
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
Algorithmics and applications of tree and graph searching
Proceedings of the twenty-first ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Data-driven evolution of data mining algorithms
Communications of the ACM - Evolving data mining into solutions for insights
Finding Patterns in Three-Dimensional Graphs: Algorithms and Applications to Scientific Data Mining
IEEE Transactions on Knowledge and Data Engineering
A Survey of Temporal Knowledge Discovery Paradigms and Methods
IEEE Transactions on Knowledge and Data Engineering
Mining biomolecular data using background knowledge and artificial neural networks
Handbook of massive data sets
Large-Scale Computational Modeling of Genetic Regulatory Networks
Artificial Intelligence Review
GeneScout: a data mining system for predicting vertebrate genes in genomic DNA sequences
Information Sciences: an International Journal - Special issue: Soft computing data mining
New techniques for extracting features from protein sequences
IBM Systems Journal - Deep computing for the life sciences
Finding Patterns on Protein Surfaces: Algorithms and Applications to Protein Classification
IEEE Transactions on Knowledge and Data Engineering
Faster algorithms for finding missing patterns
CATS '06 Proceedings of the 12th Computing: The Australasian Theroy Symposium - Volume 51
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Theoretical Computer Science
Kernel design for RNA classification using Support Vector Machines
International Journal of Data Mining and Bioinformatics
Incremental discovery of the irredundant motif bases for all suffixes of a string in O(n2logn) time
Theoretical Computer Science
Design of an RNA structural motif database
International Journal of Computational Intelligence in Bioinformatics and Systems Biology
Learning Approximate Sequential Patterns for Classification
The Journal of Machine Learning Research
Extracting approximate patterns
CPM'03 Proceedings of the 14th annual conference on Combinatorial pattern matching
Detecting conserved RNA secondary structures in viral genomes: the RADAR approach
BioSurveillance'07 Proceedings of the 2nd NSF conference on Intelligence and security informatics: BioSurveillance
VARUN: Discovering Extensible Motifs under Saturation Constraints
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Journal of Discrete Algorithms
IP6K gene discovery in plant mtDNA
CIBB'10 Proceedings of the 7th international conference on Computational intelligence methods for bioinformatics and biostatistics
Bridging lossy and lossless compression by motif pattern discovery
General Theory of Information Transfer and Combinatorics
A neural network based approach for GPCR protein prediction using pattern discovery
IDEAL'12 Proceedings of the 13th international conference on Intelligent Data Engineering and Automated Learning
Optimal offline extraction of irredundant motif bases
COCOON'07 Proceedings of the 13th annual international conference on Computing and Combinatorics
Faster algorithms for finding missing patterns
CATS '06 Proceedings of the Twelfth Computing: The Australasian Theory Symposium - Volume 51
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From the Publisher:Finding patterns in biomolecular data, particularly in DNA and RNA, is at the center of modern biological research. These data are complex and growing rapidly, so the search for patterns requires increasingly sophisticated computer methods. Pattern Discovery in Biomolecular Data provides a clear, up-to-date summary of the principal techniques. Since pattern searches often benefit from multiple approaches, the book presents methods in their purest form so that readers can best choose the method or combination that fits their needs. This volume will be invaluable for all workers in genomics and genetic analysis, and others whose research requires biocomputing.