Classification techniques have been applied to many applications in various fields of sciences. There are several ways of evaluating classification algorithms. The analysis of such metrics and its significance must be interpreted correctly for evaluating different learning algorithms. Most of these measures are scalar metrics and some of them are graphical methods. This paper introduces…
Applied Computing and Informatics Template
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About the Applied Computing and Informatics format
Applied Computing and Informatics is a peer-reviewed journal published by Elsevier, covering Face and Expression Recognition, Text and Document Classification Technologies, Diverse Scientific and Economic Studies.
| Publisher | Elsevier |
|---|---|
| Reference style | Numbered (Elsevier) Numbered — [1], [2] in the text [1] A. Smith, B. Jones, C. Lee, A representative article title, Applied Computing and Informatics 12 (2023) 45–58.
Formats any DOI in Applied Computing and Informatics style. No sign-up. |
| Publishes research in | Face and Expression Recognition Text and Document Classification Technologies Diverse Scientific and Economic Studies Human auditory perception and evaluation Diverse Specialized Academic Research |
| ISSN | 2210-8327 |
| Citation impact (2-yr) | 2.61 |
| h-index | 53 |
| i10-index | 161 |
| Total citations | 12,537 |
| Open access | Yes |
| Top institutions publishing here | University of Padua |
| Journal website | www.emeraldgrouppublishing.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Papers published in Applied Computing and Informatics per year
Citation impact of Applied Computing and Informatics by publication year
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Most-cited papers in Applied Computing and Informatics
E-learning has become progressively more vital for academia and corporate training and has potentially become one of the most significant developments and applications in Information Technologies (ITs). This study used a quantitative approach seeking a causative explanation of the decision behavior of individuals toward the acceptance and assimilation of e-learning in academic settings. A survey…
The major problem of many on-line web sites is the presentation of many choices to the client at a time; this usually results to strenuous and time consuming task in finding the right product or information on the site. In this work, we present a study of automatic web usage data mining and recommendation system…
The emergence of big data brings a new wave of Customer Relationship Management (CRM)’s strategies in supporting personalization and customization of sales, services and customer services. CRM needs big data for better customers experiences especially personalization and customization of services. Big data is a popular term used to describe data that is volume, velocity, variety,…
Cuckoo search is one of many nature-inspired algorithms used extensively to solve optimisation problems in different fields of engineering. It is a very effective in solving global optimisation because it is able to maintain balance between local and global random walks using switching parameter. The switching parameter for the original Cuckoo search algorithm is fixed…