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Big Data and Cognitive Computing, Volume 3, Issue 1

2019 March - 19 articles

Cover Story: Though the term “big data” is widely used in biomedical publications, it has a wide array of definitions. This ambiguity, therefore, raises the question: what does the term “big data” mean when used in a scientific document? In an attempt to answer this question, this paper uses text mining to compare publications that use the term big data with those that do not. The 100 classifiers generated by this method can correctly distinguish between big data and non-big data documents and identify terms specific to big data themes (`computational', `mining', and `challenges'), as well as terms that indicate the relevant research field (`genomics'). These results indicate that there is a detectable and stable difference between publications that use the term big data and those that do not. Moreover, the use of the term big data in a publication seems to indicate a distinct type of research in the biomedical field. View this paper.
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Articles (19)

  • Article
  • Open Access
30 Citations
18,451 Views
18 Pages

Many big data projects are technology-driven and thus, expensive and inefficient. It is often unclear how to exploit existing data resources and map data, systems and analytics results to actual use cases. Existing big data reference models are mostl...

  • Article
  • Open Access
5 Citations
6,503 Views
16 Pages

This work presents a strategy to scale out the fault-tolerant dynamic host configuration protocol (DHCP) algorithm over multiple interconnected local networks. The proposed model is open and used as an alternative to commercial solutions for a multi-...

  • Article
  • Open Access
7 Citations
6,012 Views
35 Pages

Social networking platforms connect people from all around the world. Because of their user-friendliness and easy accessibility, their traffic is increasing drastically. Such active participation has caught the attention of many research groups that...

  • Article
  • Open Access
14 Citations
8,539 Views
23 Pages

Global Solutions vs. Local Solutions for the AI Safety Problem

  • Alexey Turchin,
  • David Denkenberger and
  • Brian Patrick Green

There are two types of artificial general intelligence (AGI) safety solutions: global and local. Most previously suggested solutions are local: they explain how to align or “box” a specific AI (Artificial Intelligence), but do not explain...

  • Article
  • Open Access
12 Citations
6,267 Views
29 Pages

Online market places make their profit based on their advertisements or sales commission while businesses have the commercial interest to rank higher on recommendations to attract more customers. Web users cannot be guaranteed that the products provi...

  • Review
  • Open Access
58 Citations
15,440 Views
14 Pages

The task of facial landmark extraction is fundamental in several applications which involve facial analysis, such as facial expression analysis, identity and face recognition, facial animation, and 3D face reconstruction. Taking into account the most...

  • Article
  • Open Access
3,870 Views
12 Pages

Usage of the Term Big Data in Biomedical Publications: A Text Mining Approach

  • Allard J. van Altena,
  • Perry D. Moerland,
  • Aeilko H. Zwinderman and
  • Sílvia Delgado Olabarriaga

In this study, we attempt to assess the value of the term Big Data when used by researchers in their publications. For this purpose, we systematically collected a corpus of biomedical publications that use and do not use the term Big Data. These docu...

  • Review
  • Open Access
88 Citations
18,047 Views
17 Pages

Big Data and Climate Change

  • Hossein Hassani,
  • Xu Huang and
  • Emmanuel Silva

Climate science as a data-intensive subject has overwhelmingly affected by the era of big data and relevant technological revolutions. The big successes of big data analytics in diverse areas over the past decade have also prompted the expectation of...

  • Article
  • Open Access
27 Citations
6,797 Views
22 Pages

Early language acquisition is a complex cognitive task. Recent data-informed approaches showed that children do not learn words uniformly at random but rather follow specific strategies based on the associative representation of words in the mental l...

  • Article
  • Open Access
41 Citations
17,331 Views
14 Pages

Information technologies in general and artifical intelligence (AI) in particular try to shift operational task away from a human actor. Machine learning (ML) is a discipline within AI that deals with learning improvement based on data. Subsequently,...

  • Article
  • Open Access
65 Citations
9,547 Views
29 Pages

The fast-paced development of power systems necessitates the smart grid (SG) to facilitate real-time control and monitoring with bidirectional communication and electricity flows. In order to meet the computational requirements for SG applications, c...

  • Article
  • Open Access
1 Citations
3,967 Views
13 Pages

Transferring data from a sensor or monitoring device in electronic health, vehicular informatics, or Internet of Things (IoT) networks has had the enduring challenge of improving data accuracy with relative efficiency. Previous works have proposed th...

  • Article
  • Open Access
42 Citations
9,658 Views
21 Pages

The Next Generation Cognitive Security Operations Center: Adaptive Analytic Lambda Architecture for Efficient Defense against Adversarial Attacks

  • Konstantinos Demertzis,
  • Nikos Tziritas,
  • Panayiotis Kikiras,
  • Salvador Llopis Sanchez and
  • Lazaros Iliadis

A Security Operations Center (SOC) is a central technical level unit responsible for monitoring, analyzing, assessing, and defending an organization’s security posture on an ongoing basis. The SOC staff works closely with incident response team...

  • Article
  • Open Access
38 Citations
13,525 Views
13 Pages

This paper argues that the Value Sensitive Design (VSD) methodology provides a principled approach to embedding common values into AI systems both early and throughout the design process. To do so, it draws on an important case study: the evidence an...

  • Article
  • Open Access
7 Citations
4,281 Views
18 Pages

Two-Level Fault Diagnosis of SF6 Electrical Equipment Based on Big Data Analysis

  • Hongxia Miao,
  • Heng Zhang,
  • Minghua Chen,
  • Bensheng Qi and
  • Jiyong Li

With the increase of the operating time of sulphur hexafluoride (SF6) electrical equipment, the different degrees of discharge may occur inside the equipment. It makes the insulation performance of the equipment decline and will cause serious damage...

  • Review
  • Open Access
85 Citations
13,820 Views
21 Pages

Today’s rapid growth of elderly populations and aging problems coupled with the prevalence of obstructive sleep apnea (OSA) and other health related issues have affected many aspects of society. This has led to high demands for a more robust he...

  • Article
  • Open Access
26 Citations
8,497 Views
13 Pages

Towards AI Welfare Science and Policies

  • Soenke Ziesche and
  • Roman Yampolskiy

In light of fast progress in the field of AI there is an urgent demand for AI policies. Bostrom et al. provide “a set of policy desiderata”, out of which this article attempts to contribute to the “interests of digital minds”....

  • Article
  • Open Access
32 Citations
6,829 Views
13 Pages

Cybersecurity ventures expect that cyber-attack damage costs will rise to $11.5 billion in 2019 and that a business will fall victim to a cyber-attack every 14 seconds. Notice here that the time frame for such an event is seconds. With petabytes of d...

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Big Data Cogn. Comput. - ISSN 2504-2289