AIMC Topic: Data Mining

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Hotspot Mining in the Field of Library and Information Science under the Environment of Big Data.

Journal of environmental and public health Jul 31, 2022
Currently, with the implementation of big data strategies in countries all over the world, big data has achieved vigorous development in various fields. Big data research and application practices have also rapidly attracted the attention of the libr...
Artificial Intelligence Big Data Data Mining
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Discrete Missing Data Imputation Using Multilayer Perceptron and Momentum Gradient Descent.

Sensors (Basel, Switzerland) Jul 28, 2022
Data are a strategic resource for industrial production, and an efficient data-mining process will increase productivity. However, there exist many missing values in data collected in real life due to various problems. Because the missing data may re...
Neural Networks, Computer Algorithms Research Design Motion Data Mining
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Language-agnostic pharmacovigilant text mining to elicit side effects from clinical notes and hospital medication records.

Basic & clinical pharmacology & toxicology Jul 26, 2022
We sought to craft a drug safety signalling pipeline associating latent information in clinical free text with exposures to single drugs and drug pairs. Data arose from 12 secondary and tertiary public hospitals in two Danish regions, comprising appr...
Humans Electronic Health Records Language Hospitals Natural Language Processing Drug-Related Side Effects and Adverse Reactions Data Mining
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Image classification combined with faster R-CNN for the peak detection of complex components and their metabolites in untargeted LC-HRMS data.

Analytica chimica acta Jul 21, 2022
Peak detection of untargeted liquid chromatography-high resolution mass spectrometry (LC-HRMS) data is a key step to identify the metabolic status of the drugable chemicals and extracts from functional foods or herbs. Nevertheless, the existing appro...
Neural Networks, Computer Mass Spectrometry Chromatography, Liquid Flavonoids Data Mining
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Sentiment Analysis of Animated Film Reviews Using Intelligent Machine Learning.

Computational intelligence and neuroscience Jul 20, 2022
Film is an essential expression of a country's cultural soft power in terms of cross-cultural exchange. In addition, film is also the most direct and favourable means of communication. Along with the expansion and development of the Chinese film mark...
Humans Machine Learning Data Mining Semantics Motion Pictures Sentiment Analysis
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Outlier Detection Based on Fuzzy Rough Granules in Mixed Attribute Data.

IEEE transactions on cybernetics Jul 19, 2022
Outlier detection is one of the most important research directions in data mining. However, most of the current research focuses on outlier detection for categorical or numerical attribute data. There are few studies on the outlier detection of mixed...
Algorithms Fuzzy Logic Data Mining
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Big Data Technology in the Macrodecision-Making Model of Regional Industrial Economic Information Applied Research.

Computational intelligence and neuroscience Jul 18, 2022
In the era of Internet +, modern industry has developed rapidly, the network economy has promoted the great development of the industrial economy, and the traditional industrial economic statistics method has not been suitable for the development nee...
Artificial Intelligence Technology Big Data Data Mining Industry
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Drug Recommendation System for Diabetes Using a Collaborative Filtering and Clustering Approach: Development and Performance Evaluation.

Journal of medical Internet research Jul 15, 2022
BACKGROUND: Diabetes is a public health problem worldwide. Although diabetes is a chronic and incurable disease, measures and treatments can be taken to control it and keep the patient stable. Diabetes has been the subject of extensive research, rang...
Humans Machine Learning Algorithms Diabetes Mellitus Cluster Analysis Data Mining
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NILINKER: Attention-based approach to NIL Entity Linking.

Journal of biomedical informatics Jul 8, 2022
The existence of unlinkable (NIL) entities is a major hurdle affecting the performance of Named Entity Linking approaches, and, consequently, the performance of downstream models that depend on them. Existing approaches to deal with NIL entities focu...
Neural Networks, Computer Cluster Analysis Knowledge Bases Data Mining Gene Ontology
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An Evolutionary Multitasking-Based Feature Selection Method for High-Dimensional Classification.

IEEE transactions on cybernetics Jul 4, 2022
Feature selection (FS) is an important data preprocessing technique in data mining and machine learning, which aims to select a small subset of information features to increase the performance and reduce the dimensionality. Particle swarm optimizatio...
Machine Learning Data Mining
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