Beyond the hype
Amir H. Gandomi,Murtaza Haider +1 more
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
Journal ArticleDOI
A Personal Perspective on the Origin(s) and Development of 'Big Data': The Phenomenon, the Term, and the Discipline, Second Version
TL;DR: In this paper, the authors investigate Big Data, the phenomenon, the term and the discipline, with emphasis on origins of the term, in industry and academics, in computer science and statistics/econometrics.
Book ChapterDOI
“Cry Baby”: Using Spectrographic Analysis to Assess Neonatal Health Status from an Infant’s Cry
TL;DR: This chapter presents application of spectrographic analysis to the vocal sounds of an infant, comparing normal with abnormal infant cry, and how such spectral features used to identify and verify speakers can be applied to assess the neonate’s health status.
Book ChapterDOI
Video Analytics for Business Intelligence
Asaad Hakeem,Himaanshu Gupta,Atul Kanaujia,Tae Eun Choe,Kiran Gunda,Andrew W. Scanlon,Li Yu,Zhong Zhang,Peter L. Venetianer,Zeeshan Rasheed,Niels Haering +10 more
TL;DR: This chapter describes existing algorithms for extraction and processing of target and scene information, multi-sensor cross camera analysis, inferencing of simple, complex and abnormal video events, data mining, image search and retrieval, intuitive UIs for efficient customer experience, and text summarization of visual data.
Book ChapterDOI
“You’re as Sick as You Sound”: Using Computational Approaches for Modeling Speaker State to Gauge Illness and Recovery
TL;DR: This chapter reviews computational approaches that explore communicative patterns of patients who suffer from medical conditions such as depression, autism spectrum disorders, schizophrenia, and cancer and presents some applied research that uses computational methods to develop assistive technologies.