the proceedings contain 16 papers. the special focus in this conference is on international Joint conference on knowledge Discovery, knowledgeengineering and knowledgemanagement. the topics include: System to C...
ISBN:
(纸本)9783031434709
the proceedings contain 16 papers. the special focus in this conference is on international Joint conference on knowledge Discovery, knowledgeengineering and knowledgemanagement. the topics include: System to Correct Toxic Expression with BERT and to Determine the Effect of the Attention Value;machine Learning Decision Support for Production Planning and Control Based on Simulation-Generated Data;FAIRification of CRIS: A Review;measuring Augmented Reality and Virtual Reality Trajectory in the Training Environment;droNit Project: Improving Drone Usage for Civil Defense Applications;innovation Processes and Information Technologies: A Study of Boutique Hotels in Valletta, Malta;degree Centrality Definition, and Its Computation for Homogeneous Multilayer Networks Using Heuristics-Based Algorithms;a Dual-Stage Noise Training Scheme for Breast Ultrasound Image Classification;a General-Purpose Multi-stage Multi-group Machine Learning Framework for knowledge Discovery and Decision Support;comparative Assessment of Deep End-To-End, Deep Hybrid and Deep Ensemble Learning Architectures for Breast Cancer Histological Classification;CIE: A Cloud-Based Information Extraction System for Named Entity Recognition in AWS, Azure, and Medical Domain;From Natural Language Texts to RDF Triples: A Novel Approach to Generating e-Commerce knowledge Graphs;situational Question Answering over Commonsense knowledge Using Memory Nets;Archives Metadata Text Information Extraction into CIDOC-CRM.
the proceedings contain 94 papers. the topics discussed include: two-dimensional motif extraction from images: a study using an electrocardiogram;fast algorithms for the capacitated vehicle routing problem using machi...
ISBN:
(纸本)9789897586149
the proceedings contain 94 papers. the topics discussed include: two-dimensional motif extraction from images: a study using an electrocardiogram;fast algorithms for the capacitated vehicle routing problem using machine learning selection of algorithm’s parameters;end-to-end multi-channel neural networks for predicting influenza a virus hosts and antigenic types;degree centrality algorithms for homogeneous multilayer networks;evaluation of a system for named entity recognition in a knowledgemanagement ecosystem;knowledge graph-based product recommendations on e-commerce platforms;inferring new information from a knowledge graph in crisis management: a case study;toward building a bilingual dictionary for Libyan dialect-modern standard Arabic machine translation;stream data access control model: the need for data semantics;characteristics in digital organizational culture: a literature review;and exploring the test driven development of a fraud detection application using the google cloud platform.
the proceedings contain 94 papers. the topics discussed include: two-dimensional motif extraction from images: a study using an electrocardiogram;fast algorithms for the capacitated vehicle routing problem using machi...
ISBN:
(纸本)9789897586149
the proceedings contain 94 papers. the topics discussed include: two-dimensional motif extraction from images: a study using an electrocardiogram;fast algorithms for the capacitated vehicle routing problem using machine learning selection of algorithm’s parameters;end-to-end multi-channel neural networks for predicting influenza a virus hosts and antigenic types;degree centrality algorithms for homogeneous multilayer networks;evaluation of a system for named entity recognition in a knowledgemanagement ecosystem;knowledge graph-based product recommendations on e-commerce platforms;inferring new information from a knowledge graph in crisis management: a case study;toward building a bilingual dictionary for Libyan dialect-modern standard Arabic machine translation;stream data access control model: the need for data semantics;characteristics in digital organizational culture: a literature review;and exploring the test driven development of a fraud detection application using the google cloud platform.
the proceedings contain 94 papers. the topics discussed include: two-dimensional motif extraction from images: a study using an electrocardiogram;fast algorithms for the capacitated vehicle routing problem using machi...
ISBN:
(纸本)9789897586149
the proceedings contain 94 papers. the topics discussed include: two-dimensional motif extraction from images: a study using an electrocardiogram;fast algorithms for the capacitated vehicle routing problem using machine learning selection of algorithm’s parameters;end-to-end multi-channel neural networks for predicting influenza a virus hosts and antigenic types;degree centrality algorithms for homogeneous multilayer networks;evaluation of a system for named entity recognition in a knowledgemanagement ecosystem;knowledge graph-based product recommendations on e-commerce platforms;inferring new information from a knowledge graph in crisis management: a case study;toward building a bilingual dictionary for Libyan dialect-modern standard Arabic machine translation;stream data access control model: the need for data semantics;characteristics in digital organizational culture: a literature review;and exploring the test driven development of a fraud detection application using the google cloud platform.
the proceedings contain 164 papers. the special focus in this conference is on knowledge Science, engineering and management. the topics include: A MOOCs Recommender System Based on User’s knowledge Background;TEBC-N...
ISBN:
(纸本)9783030821357
the proceedings contain 164 papers. the special focus in this conference is on knowledge Science, engineering and management. the topics include: A MOOCs Recommender System Based on User’s knowledge Background;TEBC-Net: An Effective Relation Extraction Approach for Simple Question Answering over knowledge Graphs;representing knowledge Graphs with Gaussian Mixture Embedding;a Semi-supervised Multi-objective Evolutionary Algorithm for Multi-layer Network Community Detection;named Entity Recognition Based on Reinforcement Learning and Adversarial Training;improved Partitioning Graph Embedding Framework for Small Cluster;a Framework of Data Fusion through Spatio-Temporal knowledge Graph;SEGAR: knowledge Graph Augmented Session-Based Recommendation;extracting Prerequisite Relations Among Wikipedia Concepts Using the Clickstream Data;symbiosis: A Novel Framework for Integrating Hierarchies from knowledge Graph into Recommendation System;an Ensemble Fuzziness-Based Online Sequential Learning Approach and Its Application;GASKT: A Graph-Based Attentive knowledge-Search Model for knowledge Tracing;fragile Neural Network Watermarking with Trigger Image Set;introducing Graph Neural Networks for Few-Shot Relation Prediction in knowledge Graph Completion Task;a Research Study on Running Machine Learning Algorithms on Big Data with Spark;attentional Neural Factorization Machines for knowledge Tracing;Node-Image CAE: A Novel Embedding Method via Convolutional Auto-encoder and High-Order Proximities;EN-DIVINE: An Enhanced Generative Adversarial Imitation Learning Framework for knowledge Graph Reasoning;knowledge Distillation via Channel Correlation Structure;clustering Massive-Categories and Complex Documents via Graph Convolutional Network;feature Interaction Convolutional Network for knowledge Graph Embedding;towards a Modular Ontology for Cloud Consumer Review Mining;identification of Critical Nodes in Urban Transportation Network through Network Topology and Server Routes;prefac
the proceedings contain 164 papers. the special focus in this conference is on knowledge Science, engineering and management. the topics include: A MOOCs Recommender System Based on User’s knowledge Background;TEBC-N...
ISBN:
(纸本)9783030821524
the proceedings contain 164 papers. the special focus in this conference is on knowledge Science, engineering and management. the topics include: A MOOCs Recommender System Based on User’s knowledge Background;TEBC-Net: An Effective Relation Extraction Approach for Simple Question Answering over knowledge Graphs;representing knowledge Graphs with Gaussian Mixture Embedding;a Semi-supervised Multi-objective Evolutionary Algorithm for Multi-layer Network Community Detection;named Entity Recognition Based on Reinforcement Learning and Adversarial Training;improved Partitioning Graph Embedding Framework for Small Cluster;a Framework of Data Fusion through Spatio-Temporal knowledge Graph;SEGAR: knowledge Graph Augmented Session-Based Recommendation;extracting Prerequisite Relations Among Wikipedia Concepts Using the Clickstream Data;symbiosis: A Novel Framework for Integrating Hierarchies from knowledge Graph into Recommendation System;an Ensemble Fuzziness-Based Online Sequential Learning Approach and Its Application;GASKT: A Graph-Based Attentive knowledge-Search Model for knowledge Tracing;fragile Neural Network Watermarking with Trigger Image Set;introducing Graph Neural Networks for Few-Shot Relation Prediction in knowledge Graph Completion Task;a Research Study on Running Machine Learning Algorithms on Big Data with Spark;attentional Neural Factorization Machines for knowledge Tracing;Node-Image CAE: A Novel Embedding Method via Convolutional Auto-encoder and High-Order Proximities;EN-DIVINE: An Enhanced Generative Adversarial Imitation Learning Framework for knowledge Graph Reasoning;knowledge Distillation via Channel Correlation Structure;clustering Massive-Categories and Complex Documents via Graph Convolutional Network;feature Interaction Convolutional Network for knowledge Graph Embedding;towards a Modular Ontology for Cloud Consumer Review Mining;identification of Critical Nodes in Urban Transportation Network through Network Topology and Server Routes;prefac
the proceedings contain 164 papers. the special focus in this conference is on knowledge Science, engineering and management. the topics include: A MOOCs Recommender System Based on User’s knowledge Background;TEBC-N...
ISBN:
(纸本)9783030821463
the proceedings contain 164 papers. the special focus in this conference is on knowledge Science, engineering and management. the topics include: A MOOCs Recommender System Based on User’s knowledge Background;TEBC-Net: An Effective Relation Extraction Approach for Simple Question Answering over knowledge Graphs;representing knowledge Graphs with Gaussian Mixture Embedding;a Semi-supervised Multi-objective Evolutionary Algorithm for Multi-layer Network Community Detection;named Entity Recognition Based on Reinforcement Learning and Adversarial Training;improved Partitioning Graph Embedding Framework for Small Cluster;a Framework of Data Fusion through Spatio-Temporal knowledge Graph;SEGAR: knowledge Graph Augmented Session-Based Recommendation;extracting Prerequisite Relations Among Wikipedia Concepts Using the Clickstream Data;symbiosis: A Novel Framework for Integrating Hierarchies from knowledge Graph into Recommendation System;an Ensemble Fuzziness-Based Online Sequential Learning Approach and Its Application;GASKT: A Graph-Based Attentive knowledge-Search Model for knowledge Tracing;fragile Neural Network Watermarking with Trigger Image Set;introducing Graph Neural Networks for Few-Shot Relation Prediction in knowledge Graph Completion Task;a Research Study on Running Machine Learning Algorithms on Big Data with Spark;attentional Neural Factorization Machines for knowledge Tracing;Node-Image CAE: A Novel Embedding Method via Convolutional Auto-encoder and High-Order Proximities;EN-DIVINE: An Enhanced Generative Adversarial Imitation Learning Framework for knowledge Graph Reasoning;knowledge Distillation via Channel Correlation Structure;clustering Massive-Categories and Complex Documents via Graph Convolutional Network;feature Interaction Convolutional Network for knowledge Graph Embedding;towards a Modular Ontology for Cloud Consumer Review Mining;identification of Critical Nodes in Urban Transportation Network through Network Topology and Server Routes;prefac
the proceedings contain 123 papers. the topics discussed include: supervised machine learning models and schema matching techniques for ontology alignment;framework for a knowledge-based course recommender system focu...
ISBN:
(纸本)9789897587160
the proceedings contain 123 papers. the topics discussed include: supervised machine learning models and schema matching techniques for ontology alignment;framework for a knowledge-based course recommender system focused on IT career needs;optimization of methods for querying formal ontologies in natural language using a neural network;personalized asthma recommendation system: leveraging predictive analysis and semantic ontology-based knowledge graph;elementary multiperspective material ontology: leveraging perspectives via a showcase of EMMO-based domain and application ontologies;positive-unlabeled learning using pairwise similarity a parametric minimum cuts;efficient visualization of association rule mining using the rules;predicting post myocardial infarction complication: a study dual-modality and imbalanced flow cytometry data;a model for designing personalized and context-aware nudges;automatic transcription systems: a game changer for court hearings;scientific claim verification with fine-tuned NLI models;and assessing the use of online platforms in sharing tacit knowledge in innovation networks.
the proceedings contain 123 papers. the topics discussed include: supervised machine learning models and schema matching techniques for ontology alignment;framework for a knowledge-based course recommender system focu...
ISBN:
(纸本)9789897587160
the proceedings contain 123 papers. the topics discussed include: supervised machine learning models and schema matching techniques for ontology alignment;framework for a knowledge-based course recommender system focused on IT career needs;optimization of methods for querying formal ontologies in natural language using a neural network;personalized asthma recommendation system: leveraging predictive analysis and semantic ontology-based knowledge graph;elementary multiperspective material ontology: leveraging perspectives via a showcase of EMMO-based domain and application ontologies;positive-unlabeled learning using pairwise similarity a parametric minimum cuts;efficient visualization of association rule mining using the rules;predicting post myocardial infarction complication: a study dual-modality and imbalanced flow cytometry data;a model for designing personalized and context-aware nudges;automatic transcription systems: a game changer for court hearings;scientific claim verification with fine-tuned NLI models;and assessing the use of online platforms in sharing tacit knowledge in innovation networks.
the proceedings contain 123 papers. the topics discussed include: supervised machine learning models and schema matching techniques for ontology alignment;framework for a knowledge-based course recommender system focu...
ISBN:
(纸本)9789897587160
the proceedings contain 123 papers. the topics discussed include: supervised machine learning models and schema matching techniques for ontology alignment;framework for a knowledge-based course recommender system focused on IT career needs;optimization of methods for querying formal ontologies in natural language using a neural network;personalized asthma recommendation system: leveraging predictive analysis and semantic ontology-based knowledge graph;elementary multiperspective material ontology: leveraging perspectives via a showcase of EMMO-based domain and application ontologies;positive-unlabeled learning using pairwise similarity a parametric minimum cuts;efficient visualization of association rule mining using the rules;predicting post myocardial infarction complication: a study dual-modality and imbalanced flow cytometry data;a model for designing personalized and context-aware nudges;automatic transcription systems: a game changer for court hearings;scientific claim verification with fine-tuned NLI models;and assessing the use of online platforms in sharing tacit knowledge in innovation networks.
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