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Sequence mining
Results: 85

#	Item
71	Computational Biology and Chemistry[removed]–416 Database Note iProLINK: an integrated protein resource for literature mining Zhang-Zhi Hua , Inderjeet Manib , Vincent Hermosoa , Hongfang Liuc , Cathy H. Wua,∗ Add to Reading List Source URL: pir.georgetown.edu Language: English - Date: 2005-11-21 12:39:29 Biological databases Proteomics Proteins Genomics UniProt Gene Ontology Sequence database Annotation Amos Bairoch Science Bioinformatics Biology
72	Reference Series Four Stages in Idaho’s Mining Development Number 4 These stages usually form a temporal sequence (although two or three of them often overlap greatly) in the sense that one often led to the next. The Add to Reading List Source URL: www.history.idaho.gov Language: English - Date: 2014-03-04 10:02:59 Chemistry Placer deposit Tantalum Idaho State Historical Society Placer mining Ore Idaho Quartz Economic geology Mining Matter
73	Introduction to arules – A computational environment for mining association rules and frequent item sets Michael Hahsler Bettina Gru Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-06-17 04:54:36 Data Association rule learning Apriori algorithm Sequence mining Data mining Data management Information
74	Abstraction-based probabilistic models for sequence classification by Cornelia Caragea Add to Reading List Source URL: www.cs.iastate.edu Language: English - Date: 2011-08-31 00:19:53 Markov models Bayesian statistics N-gram Speech recognition Abstraction Naive Bayes classifier Statistical classification Data mining Statistics Science Artificial intelligence
75	1 ANGELI, DAVISON: LIVE FEATURE CLUSTERING IN VIDEO Add to Reading List Source URL: www.doc.ic.ac.uk Language: English - Date: 2010-09-13 10:26:24 Data mining Geostatistics Sequence clustering K-means clustering Segmentation Spectral clustering Key frame Consensus clustering Hierarchical clustering Statistics Cluster analysis Bioinformatics
76	An Early Illness Recognition Framework Using a Temporal Smith Waterman Algorithm and NLP Zahra Hajihashemi, MS, Mihail Popescu, PhD University of Missouri, Columbia, MO Abstract In this paper we propose a framework for d Add to Reading List Source URL: www.ncbi.nlm.nih.gov Language: English Science Bioinformatics Dynamic time warping Smith–Waterman algorithm Sequence alignment Wireless sensor network Data mining Sensor Computational phylogenetics Dynamic programming Statistics
77	Weitschek et al. BioData Mining 2014, 7:4 http://www.biodatamining.org/content/7/1/4 Add to Reading List Source URL: www.ncbi.nlm.nih.gov Language: English Computational phylogenetics DNA Biometrics DNA barcoding Weka Sequence alignment FASTA BLAST Consortium for the Barcode of Life Science Bioinformatics Biology
78	Multidimensional Sequence Alignment Methods for Activity Pattern Analysis: A comparison of dynamic programming and genetic algorithms Chang-Hyeon Joh, Theo A. Arentze and Harry J.P. Timmermans1 Add to Reading List Source URL: www-sre.wu-wien.ac.at Language: English - Date: 2012-12-28 04:53:30 Computational phylogenetics Multivariate statistics Data mining Sequence alignment Cluster analysis Nucleic acid sequence Pattern recognition Statistics Machine learning Bioinformatics
79	Microsoft Word - PM_32_Blanchard FN Add to Reading List Source URL: www.concepts-methods.org Language: English - Date: 2011-11-14 12:15:36 Data mining Science Academia Sequence Subsequence Optimal matching Political science Social science DNA Bioinformatics Mathematics Elementary mathematics
80	Mining event histories: A social scientist view Gilbert Ritschard1 1 Add to Reading List Source URL: mephisto.unige.ch Language: English - Date: 2011-10-06 09:30:47 Regression analysis Markov models Statistical models Decision tree learning Survival analysis Association rule learning Sequence analysis Markov chain Proportional hazards models Statistics Bioinformatics Data mining

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