Beyond the hype
Amir H. Gandomi,Murtaza Haider +1 more
Reads0
Chats0
TLDR
The need to develop appropriate and efficient analytical methods to leverage massive volumes of heterogeneous data in unstructured text, audio, and video formats is highlighted and the need to devise new tools for predictive analytics for structured big data is reinforced.About:
This article is published in International Journal of Information Management.The article was published on 2015-04-01 and is currently open access. It has received 2962 citations till now. The article focuses on the topics: Analytics & Big data.read more
Citations
More filters
Journal ArticleDOI
Critical analysis of Big Data challenges and analytical methods
TL;DR: In this article, the authors present a state-of-the-art review that presents a holistic view of the BD challenges and BDA methods theorized/proposed/employed by organizations to help others understand this landscape with the objective of making robust investment decisions.
Journal ArticleDOI
A New Convolutional Neural Network-Based Data-Driven Fault Diagnosis Method
TL;DR: A new CNN based on LeNet-5 is proposed for fault diagnosis which can extract the features of the converted 2-D images and eliminate the effect of handcrafted features and has achieved significant improvements.
Journal ArticleDOI
Big data
Ibrar Yaqoob,Ibrahim Abaker Targio Hashem,Abdullah Gani,Salimah Binti Mokhtar,Ejaz Ahmed,Nor Badrul Anuar,Athanasios V. Vasilakos +6 more
TL;DR: This paper presents a comprehensive discussion on state-of-the-art big data technologies based on batch and stream data processing based on structuralism and functionalism paradigms and strengths and weaknesses of these technologies are analyzed.
Journal ArticleDOI
Data-driven smart manufacturing
TL;DR: The role of big data in supporting smart manufacturing is discussed, a historical perspective to data lifecycle in manufacturing is overviewed, and a conceptual framework proposed in the paper is proposed.
Journal ArticleDOI
Digital Twin and Big Data Towards Smart Manufacturing and Industry 4.0: 360 Degree Comparison
Qinglin Qi,Fei Tao +1 more
TL;DR: The similarities and differences between big data and digital twin are compared from the general and data perspectives and how they can be integrated to promote smart manufacturing are discussed.
References
More filters
Proceedings Article
Opinion mining and sentiment analysis
TL;DR: This paper aims to undertake a stepwise methodology to determine the effects of an average person's tweets over fluctuation of stock prices of a multinational firm called Samsung Electronics Ltd.
Posted Content
Sure Independence Screening for Ultra-High Dimensional Feature Space
Jianqing Fan,Jinchi Lv +1 more
TL;DR: The concept of sure screening is introduced and a sure screening method that is based on correlation learning, called sure independence screening, is proposed to reduce dimensionality from high to a moderate scale that is below the sample size.
Proceedings ArticleDOI
The link prediction problem for social networks
David Liben-Nowell,Jon Kleinberg +1 more
TL;DR: Experiments on large co-authorship networks suggest that information about future interactions can be extracted from network topology alone, and that fairly subtle measures for detecting node proximity can outperform more direct measures.
Journal ArticleDOI
Techniques and applications for sentiment analysis
TL;DR: The main applications and challenges of one of the hottest research areas in computer science are revealed.
Journal ArticleDOI
Challenges and opportunities with big data
TL;DR: The controversies and myths surrounding Big Data are explored, to try to explore the controversies and debunk the myths around Big Data.