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Periodical
ISSN: 19321872 19321864
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Data mining --- Statistical methods --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Database searching --- Minería de datos --- Métodos estadísticos --- Publicaciones periódicas --- Statistical methods. --- Statistical data mining --- data mining --- Mathematical Sciences --- Applied Mathematics
Periodical
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Open access, peer reviewed, online journal encompassing research on all aspects of data mining applied to high-dimensional biological and biomedical data, focusing on computational aspects of knowledge discovery from large-scale genetic, transcriptomic, genomic, proteomic, and metabolomic data.
Bioinformatics --- Computational biology --- Data mining --- Bio-informatique --- Exploration de données (Informatique) --- Periodicals. --- Périodiques --- Computational Biology. --- Bioinformatics. --- Computational biology. --- Data mining. --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Bio-informatics --- Biological informatics --- Bio-Informatics --- Biology, Computational --- Computational Molecular Biology --- Molecular Biology, Computational --- Bio Informatics --- Bio-Informatic --- Bioinformatic --- Biologies, Computational Molecular --- Biology, Computational Molecular --- Computational Molecular Biologies --- Molecular Biologies, Computational --- data mining --- machine learning algorithms --- large scale data analysis --- Database searching --- Biology --- Information science --- Systems biology --- Genomics --- Data processing --- Data Mining. --- Biomedicine. --- Mathematical analysis --- Human medicine --- Computer. Automation --- Computational Chemistry --- Biology - General
Book
ISBN: 1491957662 9781491957660 Year: 2017 Publisher: Sebastopol: O'Reilly,
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Get complete instructions for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.6, the second edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You'll learn the latest versions of pandas, NumPy, IPython, and Jupyter in the process.
Python (Computer program language) --- Programming languages (Electronic computers) --- Data mining. --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Computer languages --- Computer program languages --- Computer programming languages --- Machine language --- PXL-IT 2018 --- programmeertalen --- Python --- Statistical science --- Mathematical statistics --- Programming --- Python (Computer program language). --- Programming languages (Electronic computers). --- Python 3.6. --- Datenanalyse. --- Datenmanagement. --- Data Mining. --- Database searching --- Electronic data processing --- Languages, Artificial --- Scripting languages (Computer science) --- Python 3.6 --- Datenanalyse --- Datenmanagement --- Data Mining --- Data mining --- python --- data-analyse --- data mining
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