Back to search

Article

Addressing Complexities of Machine Learning in Big Data: Principles, Trends and Challenges from Systematical Perspectives

2017-10-17

Abstract excerpt

The concept of ‘big data’ has been widely discussed, and its value has been illuminated throughout a variety of domains. To quickly mine potential values and alleviate the ever-increasing volume of information, machine learning is playing an increasingly important role and faces more challenges than ever. Because few studies exist regarding how to modify machine learning techniques to accommodate big d...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
bc12a8bb-a6af-5d0d-b4d8-fb26f531e700
DOI
10.20944/preprints201710.0076.v2
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Addressing Complexities of Machine Learning in Big Data: Principles, Trends and Challenges from Systematical PerspectivesDOI 10.20944/preprints201710.0076.v2
Select a neighboring publication to make it the new centre.