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TOP-10 DATA MINING CASE STUDIES.
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- International Journal of Information Technology & Decision Making, 2012, v. 11, n. 2, p. 389, doi. 10.1142/S021962201240007X
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- Article
Mining frequent conjunctive queries in relational databases through dependency discovery.
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- Knowledge & Information Systems, 2012, v. 33, n. 3, p. 655, doi. 10.1007/s10115-012-0526-5
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- Article
Embarrassingly shallow auto-encoders for dynamic collaborative filtering.
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- User Modeling & User-Adapted Interaction, 2022, v. 32, n. 4, p. 509, doi. 10.1007/s11257-021-09314-7
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- Article
BioGraph: unsupervised biomedical knowledge discovery via automated hypothesis generation.
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- Genome Biology, 2011, v. 12, n. 6, p. 1, doi. 10.1186/gb-2011-12-6-r57
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- Article
Grasping frequent subgraph mining for bioinformatics applications.
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- BioData Mining, 2018, v. 11, n. 1, p. N.PAG, doi. 10.1186/s13040-018-0181-9
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- Article
MARBLES: Mining Association Rules Buried in Long Event Sequences.
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- Statistical Analysis & Data Mining, 2014, v. 7, n. 2, p. 93, doi. 10.1002/sam.11199
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- Article
PETSC: pattern-based embedding for time series classification.
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- Data Mining & Knowledge Discovery, 2022, v. 36, n. 3, p. 1015, doi. 10.1007/s10618-022-00822-7
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- Article
Efficiently mining cohesion-based patterns and rules in event sequences.
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- Data Mining & Knowledge Discovery, 2019, v. 33, n. 4, p. 1125, doi. 10.1007/s10618-019-00628-0
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- Article
Proximity Forest: an effective and scalable distance-based classifier for time series.
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- Data Mining & Knowledge Discovery, 2019, v. 33, n. 3, p. 607, doi. 10.1007/s10618-019-00617-3
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- Article
Analyzing concept drift and shift from sample data.
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- Data Mining & Knowledge Discovery, 2018, v. 32, n. 5, p. 1179, doi. 10.1007/s10618-018-0554-1
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- Article
An inductive database system based on virtual mining views.
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- Data Mining & Knowledge Discovery, 2012, v. 24, n. 1, p. 247, doi. 10.1007/s10618-011-0229-7
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- Article
Non-derivable itemset mining.
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- Data Mining & Knowledge Discovery, 2007, v. 14, n. 1, p. 171, doi. 10.1007/s10618-006-0054-6
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- Article
Protein complex analysis: From raw protein lists to protein interaction networks.
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- Mass Spectrometry Reviews, 2017, v. 36, n. 5, p. 600, doi. 10.1002/mas.21485
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- Article
Practical Approaches for Mining Frequent Patterns in Molecular Datasets.
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- Bioinformatics & Biology Insights, 2016, n. 10, p. 37, doi. 10.4137/BBI.S38419
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- Article
A primer to frequent itemset mining for bioinformatics.
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- Briefings in Bioinformatics, 2015, v. 16, n. 2, p. 216, doi. 10.1093/bib/bbt074
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- Article
Mining the entire Protein DataBank for frequent spatially cohesive amino acid patterns.
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- BioData Mining, 2015, v. 8, n. 1, p. 1, doi. 10.1186/S13040-015-0038-4
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- Publication type:
- Article
Mining the entire Protein DataBank for frequent spatially cohesive amino acid patterns.
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- BioData Mining, 2015, v. 8, n. 1, p. 59, doi. 10.1186/s13040-015-0038-4
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- Article
Special issue on the best papers of SDM'10.
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- Statistical Analysis & Data Mining, 2010, v. 3, n. 6, p. 359, doi. 10.1002/sam.10094
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- Article
Guest Editors’ introduction: special issue of selected papers from ECML PKDD 2008.
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- Machine Learning, 2008, v. 72, n. 3, p. 155, doi. 10.1007/s10994-008-5074-6
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- Article