Machine Learning in Big Data
Lidong Wang, Cheryl Ann Alexander
International Journal of Mathematical, Engineering and Management Sciences · 2016
doi:10.33889/ijmems.2016.1.2-006 (opens in a new tab)
We email you when a new notice or a question about this paper appears.
Abstract
Machine learning is an artificial intelligence method of discovering knowledge for making intelligent decisions. Big Data has great impacts on scientific discoveries and value creation. This paper introduces methods in machine learning, main technologies in Big Data, and some applications of machine learning in Big Data. Challenges of machine learning applications in Big Data are discussed. Some new methods and technology progress of machine learning in Big Data are also presented.
Abstract licence: CC BY
References20
20 more references, whose wording the paper’s licence keeps private.
Reads
Read by people on this page
None yet.
Checked or read by AI through naulon
None yet.
A person counts once a day per paper. We keep no cookie and no address: a reader is a hash that changes every day. Any month under five reads shows no number.
Are you an author?
Is this your paper?
Claim it to add your note and be paid when agents cite it. Free.