AIMC Topic: Data Mining

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Research on MOOC Teaching Mode in Higher Education Based on Deep Learning.

Computational intelligence and neuroscience Jan 29, 2022
With the rapid development of computer technology and network technology and the widespread popularity of electronic equipment, communication among people is more dependent on the Internet. The Internet has brought great convenience to people's lives...
Education, Distance Deep Learning Data Mining Algorithms Humans Neural Networks, Computer
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Data analysis and personalized recommendation of western music history information using deep learning under Internet of Things.

PloS one Jan 26, 2022
To improve the teaching effect of western music history, the curriculum reform of history education needs to be promoted under the background of the Internet of Things (IoT). At first, a discussion is made on the characteristics of history course, wh...
Music Data Mining Internet of Things Humans Algorithms Deep Learning
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Ontology-based identification and prioritization of candidate drugs for epilepsy from literature.

Journal of biomedical semantics Jan 24, 2022
BACKGROUND: Drug repurposing can improve the return of investment as it finds new uses for existing drugs. Literature-based analyses exploit factual knowledge on drugs and diseases, e.g. from databases, and combine it with information from scholarly ...
Humans Pharmaceutical Preparations Data Mining Drug Repositioning Epilepsy Biological Ontologies
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Semi-supervised incremental learning with few examples for discovering medical association rules.

BMC medical informatics and decision making Jan 24, 2022
BACKGROUND: Association Rules are one of the main ways to represent structural patterns underlying raw data. They represent dependencies between sets of observations contained in the data. The associations established by these rules are very useful i...
Supervised Machine Learning Data Mining Humans Algorithms
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Granularity and Entropy of Intuitionistic Fuzzy Information and Their Applications.

IEEE transactions on cybernetics Jan 11, 2022
A granular structure of intuitionistic fuzzy (IF) information presents simultaneously the similarity and diversity of samples. However, this structural representation has rarely displayed its technical capability in data mining and information proces...
Data Mining Algorithms Fuzzy Logic Entropy
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An annotated corpus from biomedical articles to construct a drug-food interaction database.

Journal of biomedical informatics Jan 7, 2022
MOTIVATION: While drug-food interaction (DFI) may undermine the efficacy and safety of drugs, DFI detection has been difficult because a well-organized database for DFI did not exist. To construct a DFI database and build a natural language processin...
Databases, Factual Food-Drug Interactions Natural Language Processing PubMed Data Mining Databases, Pharmaceutical
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Characterizing accident narratives with word embeddings: Improving accuracy, richness, and generalizability.

Journal of safety research Dec 29, 2021
INTRODUCTION: Ensuring occupational health and safety is an enormous concern for organizations, as accidents not only harm workers but also result in financial losses. Analysis of accident data has the potential to reveal insights that may improve ca...
Accidents Construction Industry Machine Learning Occupational Health Humans Data Mining
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Time Series Classification with InceptionFCN.

Sensors (Basel, Switzerland) Dec 27, 2021
Deep neural networks (DNN) have proven to be efficient in computer vision and data classification with an increasing number of successful applications. Time series classification (TSC) has been one of the challenging problems in data mining in the la...
Time Factors Data Mining Algorithms Neural Networks, Computer
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The mining and construction of a knowledge base for gene-disease association in mitochondrial diseases.

Scientific reports Dec 13, 2021
Mitochondrial diseases are a group of heterogeneous genetic metabolic diseases caused by mitochondrial DNA (mtDNA) or nuclear DNA (nDNA) gene mutations. Mining the gene-disease association of mitochondrial diseases is helpful for understanding the pa...
Data Mining Mitochondrial Diseases Genetic Loci Genetic Predisposition to Disease Knowledge Bases Polymorphism, Single Nucleotide Humans Databases, Genetic Phenotype
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DeepRank: a deep learning framework for data mining 3D protein-protein interfaces.

Nature communications Dec 3, 2021
Three-dimensional (3D) structures of protein complexes provide fundamental information to decipher biological processes at the molecular scale. The vast amount of experimentally and computationally resolved protein-protein interfaces (PPIs) offers th...
Molecular Docking Simulation Deep Learning Protein Interaction Domains and Motifs Datasets as Topic Crystallography Protein Interaction Maps Protein Interaction Mapping Data Mining
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