AIMC Topic: Data Mining

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The New Version of the ANDDigest Tool with Improved AI-Based Short Names Recognition.

International journal of molecular sciences Nov 29, 2022
The body of scientific literature continues to grow annually. Over 1.5 million abstracts of biomedical publications were added to the PubMed database in 2021. Therefore, developing cognitive systems that provide a specialized search for information i...
Artificial Intelligence Databases, Factual Proteins PubMed Data Mining
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An imConvNet-based deep learning model for Chinese medical named entity recognition.

BMC medical informatics and decision making Nov 21, 2022
BACKGROUND: With the development of current medical technology, information management becomes perfect in the medical field. Medical big data analysis is based on a large amount of medical and health data stored in the electronic medical system, such...
Humans Language Deep Learning China Data Mining Names
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Continual learning with attentive recurrent neural networks for temporal data classification.

Neural networks : the official journal of the International Neural Network Society Nov 11, 2022
Continual learning is an emerging research branch of deep learning, which aims to learn a model for a series of tasks continually without forgetting knowledge obtained from previous tasks. Despite receiving a lot of attention in the research communit...
Neural Networks, Computer Rotation Data Mining Attention
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Development of benchmark datasets for text mining and sentiment analysis to accelerate regulatory literature review.

Regulatory toxicology and pharmacology : RTP Nov 11, 2022
In the field of regulatory science, reviewing literature is an essential and important step, which most of the time is conducted by manually reading hundreds of articles. Although this process is highly time-consuming and labor-intensive, most output...
Artificial Intelligence Machine Learning Data Mining Chlorine Sentiment Analysis
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Biomedical named entity recognition with the combined feature attention and fully-shared multi-task learning.

BMC bioinformatics Nov 3, 2022
BACKGROUND: Biomedical named entity recognition (BioNER) is a basic and important task for biomedical text mining with the purpose of automatically recognizing and classifying biomedical entities. The performance of BioNER systems directly impacts do...
Neural Networks, Computer Language Data Mining Attention
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Efficient Top-K Identical Frequent Itemsets Mining without Support Threshold Parameter from Transactional Datasets Produced by IoT-Based Smart Shopping Carts.

Sensors (Basel, Switzerland) Oct 21, 2022
Internet of Things (IoT)-backed smart shopping carts are generating an extensive amount of data in shopping markets around the world. This data can be cleaned and utilized for setting business goals and strategies. Artificial intelligence (AI) method...
Artificial Intelligence Algorithms Data Mining Internet of Things
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Financial Data Mining Model Based on K-Truss Community Query Model and Artificial Intelligence.

Computational intelligence and neuroscience Oct 11, 2022
With the continuous development of Internet technology and related industries, emerging technologies such as big data and cloud computing have gradually integrated into and influenced social life. Emerging technologies have, to a large extent, revolu...
Humans Artificial Intelligence Algorithms Big Data Data Mining Cloud Computing
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Adera2.0: A Drug Repurposing Workflow for Neuroimmunological Investigations Using Neural Networks.

Molecules (Basel, Switzerland) Sep 30, 2022
Drug repurposing in the context of neuroimmunological (NI) investigations is still in its primary stages. Drug repurposing is an important method that bypasses lengthy drug discovery procedures and focuses on discovering new usages for known medicati...
Neural Networks, Computer Drug Discovery Drug Repositioning Workflow Data Mining
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Forecasting Slope Displacement of the Agricultural Mountainous Area Based on the ACO-SVM Model.

Computational intelligence and neuroscience Sep 29, 2022
Due to the combined influence of complex engineering geological conditions and environmental factors from agricultural mountainous areas, the evolution of slope deformation is complicated and nonlinear. Support vector machine (SVM) technology could e...
Humans Algorithms Forecasting Support Vector Machine Data Mining
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Practical Research on Artificial Intelligence Algorithms, Paleontology, Data Mining, and Digital Restoration of Public Information.

Computational intelligence and neuroscience Sep 28, 2022
This paper discusses the method of fossil digitization combining paleontology and art by using data mining. The aim of the study is to increase the creativity and vitality of museum exhibits and promote scientific exchange. The purpose of the study i...
Artificial Intelligence Communication Data Mining Museums Paleontology
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