Journal of Big Data

The Journal of Big Data publishes high-quality, scholarly research papers, methodologies and case studies covering a broad range of topics, from big data analytics to data-intensive computing and all applications of big data research. The journal examines the challenges facing big data today and goi...

תיאור מלא

שמור ב:
מידע ביבליוגרפי
מחבר תאגידי: SpringerLink (Online service)
מחברים אחרים: Furht, Borko (Editor), Khoshgoftaar, Taghi M. (Editor)
פורמט: אלקטרוני כתב-עת
יצא לאור: Cham : Springer International Publishing : Imprint: Springer.
נושאים:
גישה מקוונת:Open Access
תגים: הוספת תג
אין תגיות, היה/י הראשונ/ה לתייג את הרשומה!
תיאור
סיכום:The Journal of Big Data publishes high-quality, scholarly research papers, methodologies and case studies covering a broad range of topics, from big data analytics to data-intensive computing and all applications of big data research. The journal examines the challenges facing big data today and going forward including, but not limited to: data capture and storage; search, sharing, and analytics; big data technologies; data visualization; architectures for massively parallel processing; data mining tools and techniques; machine learning algorithms for big data; cloud computing platforms; distributed file systems and databases; and scalable storage systems. Academic researchers and practitioners will find the Journal of Big Data to be a seminal source of innovative material.
תיאור פיזי:online resource.
ISSN:2196-1115