A Machine Learning Perspective on Big Data Analysis-Reference-Cited by-同舟云学术

A Machine Learning Perspective on Big Data Analysis

Published:2015-12-17 Issue: Volume: Page:1-31
ISSN:2197-6503
Container-title:Studies in Big Data
language:
Short-container-title:

Author:

Japkowicz Nathalie,Stefanowski Jerzy

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-26989-4_1

Reference67 articles.

1. Abiteboul, S.: Querying semi-structured data. In: ICDT ’97 Proceedings of the 6th International Conference on Database Theory, pp. 1–18 (1997)

2. An interview with Michal Jordan—Why Big Data Could Be a Big Fail. IEEE Spectrum. (Posted by Lee Gomes, 20 Oct 2014)

3. Anderson, C.: The end of Theory. The data deluge makes the scientific method obsolete, Wired Magazine, 16/07 (2008, June 23)

4. Auerbach, D.: The Mystery of the Exploding Tongue. How reliable is Google Flu Trends? Slate Web page. http://www.slate.com/articles/technology/bitwise/2014/03/google_flu_trends_reliability_a_new_study_questions_its_methods.html (2014)

5. Azzara, M.: Big Data Ethics: Transparency, Privacy, and Identity. Blog cmo.com. (Retrieved 2015)

Cited by 14 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A framework for population inference: Combining machine learning, network analysis, and non-probability road sensor data;Computers, Environment and Urban Systems;2023-07

2. Big data analytics for supply chain risk management: research opportunities at process crossroads;Business Process Management Journal;2022-08-09

3. Parallel Evolutionary Algorithm for EEG Optimization Problems;2021 IEEE Congress on Evolutionary Computation (CEC);2021-06-28

4. Classification of Multi-class Imbalanced Data: Data Difficulty Factors and Selected Methods for Improving Classifiers;Rough Sets;2021

5. Data mining tools;WIREs Data Mining and Knowledge Discovery;2019-02-22