AIMC Topic: Data Mining

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Construction of Correlation Analysis Model of College Students' Sports Performance Based on Convolutional Neural Network.

Computational intelligence and neuroscience May 27, 2022
This paper proposes a network model recurrent fully connected network (RFC-Net) based on recurrent full convolution and polarization change. RFC-Net enriches the network by reconstructing and fine-tuning the fully convolutional network and adding rec...
Students Athletic Performance Humans Algorithms Neural Networks, Computer Data Mining
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Construction and Application of Text Entity Relation Joint Extraction Model Based on Multi-Head Attention Neural Network.

Computational intelligence and neuroscience May 24, 2022
Entity relationship extraction is one of the key areas of information extraction and is an important research content in the field of natural language processing. Based on past research, this paper proposes a combined extraction model based on a mult...
Neural Networks, Computer Natural Language Processing Data Mining
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Two-Level LSTM for Sentiment Analysis With Lexicon Embedding and Polar Flipping.

IEEE transactions on cybernetics May 19, 2022
Sentiment analysis is a key component in various text mining applications. Numerous sentiment classification techniques, including conventional and deep-learning-based methods, have been proposed in the literature. In most existing methods, a high-qu...
Semantics Sentiment Analysis Data Mining Algorithms
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Improved WOA and its application in feature selection.

PloS one May 19, 2022
Feature selection (FS) can eliminate many redundant, irrelevant, and noisy features in high-dimensional data to improve machine learning or data mining models' prediction, classification, and computational performance. We proposed an improved whale o...
Animals Data Mining Cluster Analysis Machine Learning Algorithms Whales
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Past and future uses of text mining in ecology and evolution.

Proceedings. Biological sciences May 18, 2022
Ecology and evolutionary biology, like other scientific fields, are experiencing an exponential growth of academic manuscripts. As domain knowledge accumulates, scientists will need new computational approaches for identifying relevant literature to ...
Machine Learning Language Natural Language Processing Reproducibility of Results Data Mining
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E-Commerce Marketing Optimization of Agricultural Products Based on Deep Learning and Data Mining.

Computational intelligence and neuroscience May 18, 2022
China Internet plus agriculture was first put forward in 2015 by the Chinese government's work report, laying the foundation for the development of Internet plus agriculture and promoting the rapid growth of e-commerce marketing of agricultural produ...
Marketing Data Mining Agriculture Commerce Deep Learning
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Artificial Intelligence in Pharmacovigilance: An Introduction to Terms, Concepts, Applications, and Limitations.

Drug safety May 17, 2022
The tools of artificial intelligence (AI) have enormous potential to enhance activities in pharmacovigilance. Pharmacovigilance experts need not be AI experts, but they should know enough about AI to explore the possibilities of collaboration with th...
Data Mining Pharmacovigilance Drug-Related Side Effects and Adverse Reactions Artificial Intelligence Humans Algorithms Machine Learning
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Discovering Thematically Coherent Biomedical Documents Using Contextualized Bidirectional Encoder Representations from Transformers-Based Clustering.

International journal of environmental research and public health May 12, 2022
The increasing expansion of biomedical documents has increased the number of natural language textual resources related to the current applications. Meanwhile, there has been a great interest in extracting useful information from meaningful coherent ...
Cluster Analysis Natural Language Processing Algorithms Semantics Data Mining
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E-Commerce Fraud Detection Model by Computer Artificial Intelligence Data Mining.

Computational intelligence and neuroscience May 9, 2022
This study aims to identify e-commerce fraud, solve the financial risks of e-commerce enterprises through big data mining (BDM), further explore more effective solutions through Information fusion technology (IFT), and create an e-commerce fraud dete...
Commerce Artificial Intelligence Data Mining Computers Fraud
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Data Analysis and Knowledge Mining of Machine Learning in Soil Corrosion Factors of the Pipeline Safety.

Computational intelligence and neuroscience May 6, 2022
The purpose of this research is to enhance the ability of data analysis and knowledge mining in soil corrosion factors of the pipeline. According to its multifactor characteristics, the rough set algorithm is directly used to analyze and process the ...
Soil Corrosion Data Mining Data Analysis Algorithms Machine Learning Artificial Intelligence
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