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Information, Volume 13, Issue 1

January 2022 - 42 articles

Cover Story: Two-dimensional space embeddings are a popular means to gain insight into high-dimensional data. However, these embeddings suffer from distortions that occur both at the global inter-cluster and the local intra-cluster levels. The former leads to misinterpretation of the distances between the various N–D cluster populations, while the latter hampers the appreciation of their individual shapes and composition, which we call cluster appearance. In this paper, we propose techniques to overcome these limitations by conveying the N–D cluster appearance through N–D-based Scagnostics metrics and a framework inspired by illustrative design. We validated and refined our design choices via a series of user studies. View this paper
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Articles (42)

  • Article
  • Open Access
19 Citations
6,950 Views
18 Pages

17 January 2022

Recommender systems can assist with decision-making by delivering a list of item recommendations tailored to user preferences. Context-aware recommender systems additionally consider context information and adapt the recommendations to different situ...

  • Article
  • Open Access
316 Citations
91,930 Views
22 Pages

A Literature Survey of Recent Advances in Chatbots

  • Guendalina Caldarini,
  • Sardar Jaf and
  • Kenneth McGarry

15 January 2022

Chatbots are intelligent conversational computer systems designed to mimic human conversation to enable automated online guidance and support. The increased benefits of chatbots led to their wide adoption by many industries in order to provide virtua...

  • Article
  • Open Access
4 Citations
3,490 Views
12 Pages

Exploiting an Ontological Model to Study COVID-19 Contagion Chains in Sustainable Smart Cities

  • Nemury Silega,
  • Eliani Varén,
  • Alfredo Varén,
  • Yury I. Rogozov,
  • Vyacheslav S. Lapshin and
  • Skolupin A. Alekseevich

14 January 2022

The COVID-19 pandemic has caused the deaths of millions of people around the world. The scientific community faces a tough struggle to reduce the effects of this pandemic. Several investigations dealing with different perspectives have been carried o...

  • Article
  • Open Access
5 Citations
4,896 Views
16 Pages

13 January 2022

In this work, we propose both an improvement and extensions of a reverse Jensen inequality due to Wunder et al. (2021). The new proposed inequalities are fairly tight and reasonably easy to use in a wide variety of situations, as demonstrated in seve...

  • Article
  • Open Access
2 Citations
3,630 Views
16 Pages

13 January 2022

This paper presents a novel method based on a curve descriptor and projection geometry constrained for vessel matching. First, an LM (Leveberg–Marquardt) algorithm is proposed to optimize the matrix of geometric transformation. Combining with p...

  • Article
  • Open Access
11 Citations
3,937 Views
15 Pages

Dual-Hybrid Modeling for Option Pricing of CSI 300ETF

  • Kejing Zhao,
  • Jinliang Zhang and
  • Qing Liu

13 January 2022

The reasonable pricing of options can effectively help investors avoid risks and obtain benefits, which plays a very important role in the stability of the financial market. The traditional single option pricing model often fails to meet the ideal ex...

  • Article
  • Open Access
6 Citations
3,056 Views
19 Pages

13 January 2022

The analysis of social networks has attracted a lot of attention during the last two decades. These networks are dynamic: new links appear and disappear. Link prediction is the problem of inferring links that will appear in the future from the actual...

  • Article
  • Open Access
5 Citations
6,193 Views
21 Pages

13 January 2022

This work reviews existing research about attributes, which are assessed by individuals to evaluate the trustworthiness of (i) software applications, (ii) organizations (e.g., service providers), and (iii) other individuals. As these parties are part...

  • Article
  • Open Access
45 Citations
6,571 Views
15 Pages

Cognitive Digital Twins for Resilience in Production: A Conceptual Framework

  • Pavlos Eirinakis,
  • Stavros Lounis,
  • Stathis Plitsos,
  • George Arampatzis,
  • Kostas Kalaboukas,
  • Klemen Kenda,
  • Jinzhi Lu,
  • Jože M. Rožanec and
  • Nenad Stojanovic

12 January 2022

Digital Twins (DTs) are a core enabler of Industry 4.0 in manufacturing. Cognitive Digital Twins (CDTs), as an evolution, utilize services and tools towards enabling human-like cognitive capabilities in DTs. This paper proposes a conceptual framework...

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Information - ISSN 2078-2489