Divide and recombine (D&R): Data science for large complex data.
Saved in:
| 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.
Login for full access.
|
|
| 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 |