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ACM/IMS Transactions on Data Science is a peer-reviewed journal published by ACM, covering Human Mobility and Location-Based Analysis, Data Management and Algorithms, Traffic Prediction and Management Techniques.
| Publisher | ACM |
|---|---|
| Reference style | Numbered (ACM) Numbered — [1], [2] in the text [1] Ada Smith, Ben Jones, and Cara Lee. 2023. A representative article title. ACM/IMS Transactions on Data Science 12, 3, Article 45 (2023).
Formats any DOI in ACM/IMS Transactions on Data Science style. No sign-up. |
| Publishes research in | Human Mobility and Location-Based Analysis Data Management and Algorithms Traffic Prediction and Management Techniques Anomaly Detection Techniques and Applications Privacy-Preserving Technologies in Data |
| Papers published last year | ≈30 |
| ISSN | 2577-3224 |
| h-index | 14 |
| i10-index | 21 |
| Total citations | 1,185 |
| Top institutions publishing here | Huazhong University of Science and Technology |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Physics-based models are often used to study engineering and environmental systems. The ability to model these systems is the key to achieving our future environmental sustainability and improving the quality of human life. This article focuses on simulating lake water temperature, which is critical for understanding the impact of changing climate on aquatic ecosystems and…
In the past few years, neural abstractive text summarization with sequence-to-sequence (seq2seq) models have gained a lot of popularity. Many interesting techniques have been proposed to improve seq2seq models, making them capable of handling different challenges, such as saliency, fluency and human readability, and generate high-quality summaries. Generally speaking, most of these techniques differ in…
The increasing popularity of social media has attracted a huge number of people to participate in numerous activities on a daily basis. This results in tremendous amounts of rich user-generated data. These data provide opportunities for researchers and service providers to study and better understand users’ behaviors and further improve the quality of the personalized…
In a Content-based Image Retrieval (CBIR) System, the task is to retrieve similar images from a large database given a query image. The usual procedure is to extract some useful features from the query image and retrieve images that have a similar set of features. For this purpose, a suitable similarity measure is chosen, and…
Rapidly developing location acquisition technologies provide a powerful tool for understanding and predicting human mobility in cities, which is very significant for urban planning, traffic regulation, and emergency management. However, with the existing methodologies, it is still difficult to accurately predict millions of peoples’ mobility in a large urban area such as Tokyo, Shanghai, and…
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