Divide and recombine (D&R): Data science for large complex data.

Saved in:
Bibliographic Details
Title: Divide and recombine (D&R): Data science for large complex data.
Authors: Cleveland, William S.1, Hafen, Ryan2
Source: Statistical Analysis & Data Mining. Dec2014, Vol. 7 Issue 6, p425-433. 9p.
Database: Academic Search Ultimate
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: asn
DbLabel: Academic Search Ultimate
An: 99708589
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Divide and recombine (D&R): Data science for large complex data.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Cleveland%2C+William+S%2E%22">Cleveland, William S.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Hafen%2C+Ryan%22">Hafen, Ryan</searchLink><relatesTo>2</relatesTo>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Statistical+Analysis+%26+Data+Mining%22">Statistical Analysis & Data Mining</searchLink>. Dec2014, Vol. 7 Issue 6, p425-433. 9p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=99708589
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1002/sam.11242
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 9
        StartPage: 425
    Titles:
      – TitleFull: Divide and recombine (D&R): Data science for large complex data.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Cleveland, William S.
      – PersonEntity:
          Name:
            NameFull: Hafen, Ryan
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 12
              Text: Dec2014
              Type: published
              Y: 2014
          Identifiers:
            – Type: issn-print
              Value: 19321864
          Numbering:
            – Type: volume
              Value: 7
            – Type: issue
              Value: 6
          Titles:
            – TitleFull: Statistical Analysis & Data Mining
              Type: main
ResultId 1