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Big Data and Cognitive Computing is a peer-reviewed journal published by MDPI, covering Topic Modeling, Sentiment Analysis and Opinion Mining, Blockchain Technology Applications and Security. Over its lifetime it has published 1,329 papers, which have received 21,913 citations.
| Publisher | MDPI |
|---|---|
| Reference style | Numbered (MDPI) Numbered — [1], [2] in the text 1. Smith, A.; Jones, B.; Lee, C. A Representative Article Title. Big Data and Cognitive Computing 2023, 12, 45–58.
Formats any DOI in Big Data and Cognitive Computing style. No sign-up. |
| Abbreviation (ISO-4) | Big Data Cogn. Comput. |
| Publishes research in | Topic Modeling Sentiment Analysis and Opinion Mining Blockchain Technology Applications and Security Advanced Text Analysis Techniques Anomaly Detection Techniques and Applications |
| ISSN | 2504-2289 |
| Citation impact (2-yr) | 5.11 |
| h-index | 66 |
| i10-index | 464 |
| Article processing charge | $1,515 |
| Open access | Yes — indexed in DOAJ |
| Top institutions publishing here | Lviv Polytechnic National University |
| Journal website | www.mdpi.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
With the rapid growth of Internet of Things (IoT) applications, the classic centralized cloud computing paradigm faces several challenges such as high latency, low capacity and network failure. To address these challenges, fog computing brings the cloud closer to IoT devices. The fog provides IoT data processing and storage locally at IoT devices instead of…
In this study, the author collected tweets about ChatGPT, an innovative AI chatbot, in the first month after its launch. A total of 233,914 English tweets were analyzed using the latent Dirichlet allocation (LDA) topic modeling algorithm to answer the question “what can ChatGPT do?”. The results revealed three general topics: news, technology, and reactions.…
ChatGPT, a conversational AI interface that utilizes natural language processing and machine learning algorithms, is taking the world by storm and is the buzzword across many sectors today. Given the likely impact of this model on data science, through this perspective article, we seek to provide an overview of the potential opportunities and challenges associated…
Outlier detection is a statistical procedure that aims to find suspicious events or items that are different from the normal form of a dataset. It has drawn considerable interest in the field of data mining and machine learning. Outlier detection is important in many applications, including fraud detection in credit card transactions and network intrusion…
Text mining in big data analytics is emerging as a powerful tool for harnessing the power of unstructured textual data by analyzing it to extract new knowledge and to identify significant patterns and correlations hidden in the data. This study seeks to determine the state of text mining research by examining the developments within published…
