Big Genome Data Classification with Random Forests Using VariantSpark

International Conference on Computer Networks and Communication Technologies - Lecture Notes on Data Engineering and Communications Technologies ◽

10.1007/978-981-10-8681-6_55 ◽

2018 ◽

pp. 599-614

Author(s):

A. Shobana Devi ◽

G. Maragatham

Keyword(s):

Random Forests ◽

Data Classification ◽

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An efficient random forests algorithm for high dimensional data classification

Advances in Data Analysis and Classification ◽

10.1007/s11634-018-0318-1 ◽

2018 ◽

Vol 12 (4) ◽

pp. 953-972 ◽

Author(s):

Qiang Wang ◽

Thanh-Tung Nguyen ◽

Joshua Z. Huang ◽

Thuy Thi Nguyen

Keyword(s):

Random Forests ◽

High Dimensional Data ◽

Data Classification ◽

High Dimensional

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Keynote 3: Random forests for biomedical data classification

2017 IEEE International Conference on Signal and Image Processing Applications (ICSIPA) ◽

10.1109/icsipa.2017.8120567 ◽

2017 ◽

Author(s):

Laurent Heutte

Keyword(s):

Random Forests ◽

Data Classification ◽

Biomedical Data

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Ensemble diversity analysis on remote sensing data classification using random forests

2017 IEEE International Conference on Image Processing (ICIP) ◽

10.1109/icip.2017.8296492 ◽

2017 ◽

Author(s):

Samia Boukir ◽

Andrew Mellor

Keyword(s):

Remote Sensing ◽

Random Forests ◽

Remote Sensing Data ◽

Data Classification ◽

Diversity Analysis ◽

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A Novel Approach for Genome Data Classification Using Hadoop and Spark Framework

Emerging Research in Computing, Information, Communication and Applications ◽

10.1007/978-981-10-0287-8_31 ◽

2016 ◽

pp. 333-343

Author(s):

Shailesh S. Tayde ◽

Nagamma Patil

Keyword(s):

Data Classification ◽

Genome Data ◽

Novel Approach ◽

Spark Framework

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Medical Imbalanced Data Classification Based on Random Forests

Advances in Intelligent Systems and Computing - Proceedings of the International Conference on Artificial Intelligence and Computer Vision (AICV2020) ◽

10.1007/978-3-030-44289-7_8 ◽

2020 ◽

pp. 81-91

Author(s):

Engy El-shafeiy ◽

Amr Abohany

Keyword(s):

Random Forests ◽

Imbalanced Data ◽

Data Classification ◽

Imbalanced Data Classification

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Enhancing Random Forests Performance in Microarray Data Classification

Artificial Intelligence in Medicine - Lecture Notes in Computer Science ◽

10.1007/978-3-642-38326-7_15 ◽

2013 ◽

pp. 99-103 ◽

Author(s):

Nicoletta Dessì ◽

Gabriele Milia ◽

Barbara Pes

Keyword(s):

Random Forests ◽

Microarray Data ◽

Data Classification

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Genome-wide association data classification and SNPs selection using two-stage quality-based Random Forests

BMC Genomics ◽

10.1186/1471-2164-16-s2-s5 ◽

2015 ◽

Vol 16 (Suppl 2) ◽

pp. S5 ◽

Author(s):

Thanh-Tung Nguyen ◽

Joshua Huang ◽

Qingyao Wu ◽

Thuy Nguyen ◽

Mark Li

Keyword(s):

Random Forests ◽

Data Classification ◽

Genome Wide Association ◽

Two Stage ◽

Genome Wide ◽

Association Data

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Genome data classification based on fuzzy matching

CSI Transactions on ICT ◽

10.1007/s40012-012-0001-1 ◽

2012 ◽

Vol 1 (1) ◽

pp. 9-28 ◽

Author(s):

Nagamma Patil ◽

Durga Toshniwal ◽

Kumkum Garg

Keyword(s):

Data Classification ◽

Genome Data ◽

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Functional data classification for temporal gene expression data with kernel-induced random forests

2010 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology ◽

10.1109/cibcb.2010.5510482 ◽

2010 ◽

Author(s):

Guangzhe Fan ◽

Jiguo Cao ◽

Jiheng Wang

Keyword(s):

Gene Expression ◽

Gene Expression Data ◽

Random Forests ◽

Functional Data ◽

Data Classification ◽

Expression Data ◽

Temporal Gene Expression

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CNB-MRF: Adapting Correlative Naive Bayes Classifier and MapReduce Framework for Big Data Classification

International Review on Computers and Software (IRECOS) ◽

10.15866/irecos.v11i11.10116 ◽

2016 ◽

Vol 11 (11) ◽

pp. 1007 ◽

Author(s):

Chitrakant Banchhor ◽

N. Srinivasu

Keyword(s):

Big Data ◽

Naive Bayes ◽

Data Classification ◽

Naïve Bayes ◽

Naive Bayes Classifier ◽

Bayes Classifier ◽

Naïve Bayes Classifier ◽

Mapreduce Framework ◽

Big Data Classification

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