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Big Data and Cognitive Computing, Volume 8, Issue 5

2024 May - 7 articles

Cover Story: This paper introduces a novel approach to enhance topic modelling by extending traditional outputs beyond isolated tokens and using internal textual data to extract and map high-scoring keywords directly. Unlike previous methods that rely on external language sources, this approach avoids the associated risks of unavailability and privacy issues. A comparative analysis with large language models (LLMs) shows that this method not only aligns with but often surpasses existing models by effectively bridging detailed thematic elements. Further evaluations with a variety of datasets and models confirm its superior interpretability and efficiency, as validated by independent annotators. View this paper
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Articles (7)

  • Article
  • Open Access
5 Citations
4,072 Views
22 Pages

XplAInable: Explainable AI Smoke Detection at the Edge

  • Alexander Lehnert,
  • Falko Gawantka,
  • Jonas During,
  • Franz Just and
  • Marc Reichenbach

Wild and forest fires pose a threat to forests and thereby, in extension, to wild life and humanity. Recent history shows an increase in devastating damages caused by fires. Traditional fire detection systems, such as video surveillance, fail in the...

  • Article
  • Open Access
5 Citations
3,019 Views
18 Pages

The intelligent warehouse is a modern logistics management system that uses technologies like the Internet of Things, robots, and artificial intelligence to realize automated management and optimize warehousing operations. The multi-robot system (MRS...

  • Article
  • Open Access
6 Citations
4,707 Views
14 Pages

Time series forecasting has been a challenging area in the field of Artificial Intelligence. Various approaches such as linear neural networks, recurrent linear neural networks, Convolutional Neural Networks, and recently transformers have been attem...

  • Article
  • Open Access
6 Citations
7,814 Views
13 Pages

The International Classification of Diseases (ICD) serves as a widely employed framework for assigning diagnosis codes to electronic health records of patients. These codes facilitate the encapsulation of diagnoses and procedures conducted during a p...

  • Article
  • Open Access
2,790 Views
23 Pages

Imagine and Imitate: Cost-Effective Bidding under Partially Observable Price Landscapes

  • Xiaotong Luo,
  • Yongjian Chen,
  • Shengda Zhuo,
  • Jie Lu,
  • Ziyang Chen,
  • Lichun Li,
  • Jingyan Tian,
  • Xiaotong Ye and
  • Yin Tang

Real-time bidding has become a major means for online advertisement exchange. The goal of a real-time bidding strategy is to maximize the benefits for stakeholders, e.g., click-through rates or conversion rates. However, in practise, the optimal bidd...

  • Review
  • Open Access
7 Citations
6,737 Views
18 Pages

Along with the development of new-generation information technology, digital twins (DTs) have become the most promising enabling technology for smart manufacturing. This article presents a statistical analysis of the literature related to the applica...

  • Article
  • Open Access
8 Citations
3,836 Views
26 Pages

Topic Modelling: Going beyond Token Outputs

  • Lowri Williams,
  • Eirini Anthi,
  • Laura Arman and
  • Pete Burnap

Topic modelling is a text mining technique for identifying salient themes from a number of documents. The output is commonly a set of topics consisting of isolated tokens that often co-occur in such documents. Manual effort is often associated with i...

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Big Data Cogn. Comput. - ISSN 2504-2289