COPYRIGHT YEAR

2016

AUTHORS

Shan Suthaharan

TYPE

Monograph

TITLE

Machine Learning Models and Algorithms for Big Data Classification

DESCRIPTION

Addresses a new and hot field of Big Data Science and Engineering Offers new Machine Learning techniques and solutions Provides solutions to overcome Big Data classification problems that industries, government agencies and organizations struggle to manage and analyze

PUBLISHER

Springer US

BOOK (manifestation)

  • Book: 978-1-4899-7640-6 (Book)
  • Book: 978-1-4899-7641-3 (eBook)

  • How to use: Click on a object to move its position. Double click to open its homepage. Right click to preview its contents.

    Download the RDF metadata as:   json-ld nt turtle xml License info


    21 TRIPLES      18 PREDICATES      22 URIs      13 LITERALS

    Subject Predicate Object
    1 book-editions:5ad920de3540e41d59ed6aa72651837e sg:bookType Monograph
    2 sg:chapterCount 14
    3 sg:copyrightHolder Springer Science+Business Media New York
    4 sg:copyrightYear 2016
    5 sg:ddsId 233708
    6 sg:description <p>Addresses a new and hot field of Big Data Science and Engineering </p><p>Offers new Machine Learning techniques and solutions </p><p>Provides solutions to overcome Big Data classification problems that industries, government agencies and organizations struggle to manage and analyze</p>
    7 sg:editionNumber 1
    8 sg:hasContributingOrganization grid-institutes:grid.266860.c
    9 sg:hasContribution contributions:5949c26c7f54fee20cdf9f00fcc3f890
    10 sg:hasProductMarketCode product-market-codes:5
    11 product-market-codes:515000
    12 product-market-codes:I18024
    13 product-market-codes:I21017
    14 sg:language En
    15 sg:license http://scigraph.springernature.com/explorer/license/
    16 sg:publisher Springer US
    17 sg:scigraphId 5ad920de3540e41d59ed6aa72651837e
    18 sg:subtitle Thinking with Examples for Effective Learning
    19 sg:title Machine Learning Models and Algorithms for Big Data Classification
    20 rdf:type sg:BookEdition
    21 rdfs:label BookEdition: Machine Learning Models and Algorithms for Big Data Classification
    HOW TO GET THIS DATA PROGRAMMATICALLY:

    JSON-LD is a popular JSON format for linked data.

    curl -H 'Accept: application/ld+json' 'http://scigraph.springernature.com/things/book-editions/5ad920de3540e41d59ed6aa72651837e'

    N-Triples is a line-based linked data format ideal for batch operations .

    curl -H 'Accept: application/n-triples' 'http://scigraph.springernature.com/things/book-editions/5ad920de3540e41d59ed6aa72651837e'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'http://scigraph.springernature.com/things/book-editions/5ad920de3540e41d59ed6aa72651837e'

    RDF/XML is a standard XML format for linked data.

    curl -H 'Accept: application/rdf+xml' 'http://scigraph.springernature.com/things/book-editions/5ad920de3540e41d59ed6aa72651837e'






    Preview window. Press ESC to close (or click here)


    ...