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Volumn 398, Issue , 2016, Pages 291-306

Big data and analytics—a journey through basic concepts to research issues

Author keywords

Advanced analytics; Analytics; Big data; Big data analytics; Predictive analytics; Prescriptive analytics

Indexed keywords

DECISION MAKING;

EID: 84949436794     PISSN: 21945357     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-81-322-2674-1_29     Document Type: Chapter
Times cited : (10)

References (20)
  • 6
    • 84922468354 scopus 로고    scopus 로고
    • Steps IT Managers can take to move forward with big data analytics, June 2012
    • Intel IT Center (2012) Planning guide: getting started with Hadoop. Steps IT Managers can take to move forward with big data analytics, June 2012
    • (2012) Planning Guide: Getting Started with Hadoop
  • 11
    • 84939566731 scopus 로고    scopus 로고
    • Five pillars of prescriptive analytics success
    • Mar/Apr 2013
    • Basu A (2013) Five pillars of prescriptive analytics success. Executive edge, analytics-magazine.org, pp 8–12, Mar/Apr 2013. www.informs.org
    • (2013) Executive Edge, Analytics-Magazine.Org , pp. 8-12
    • Basu, A.1
  • 13
    • 85013916411 scopus 로고    scopus 로고
    • A survey on platforms for big data analytics
    • Singh D, Reddy C (2014) A survey on platforms for big data analytics. J Big Data 1(8). http://www.journalofbigdata.com/content/1/1/8
    • (2014) J Big Data , vol.1 , Issue.8
    • Singh, D.1    Reddy, C.2
  • 16
    • 85009345922 scopus 로고    scopus 로고
    • A big data methodology for categorising technical support requests using Hadoop and Mahout
    • Barrachina AD, O’Driscoll A (2014) A big data methodology for categorising technical support requests using Hadoop and Mahout. J Big Data 1(1):1–11. http://www.journalofbigdata.com/content/1/1/1
    • (2014) J Big Data , vol.1 , Issue.1 , pp. 1-11
    • Barrachina, A.D.1    O’Driscoll, A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.