Výsledky vyhledávání - Pattern Mining Language Models Knowledge Graphs*

Language-Model Based Informed Partition of Databases to Speed Up Pattern Mining

Autoři: Carlos Bobed Lisbona Jordi Bernad Pierre Maillot a další

Přispěvatelé: Carlos Bobed Lisbona Jordi Bernad Pierre Maillot a další

Zdroj: Proceedings of the ACM on Management of Data. 2:1-27

Témata: [INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI], Natural language processing, 0202 electrical engineering, electronic engineering, information engineering, Pattern Mining Language Models Knowledge Graphs, 02 engineering and technology, Knowledge Graphs, Pattern Mining, Knowledge representation and reasoning, Language Models, Data mining

Popis souboru: application/pdf

Přístupová URL adresa: https://hal.science/hal-04559359v1/document
https://hal.science/hal-04559359v1
https://doi.org/10.1145/3654987

A Systems Approach to Validating Large Language Model Information Extraction: The Learnability Framework Applied to Historical Legal Texts.

Autoři: Çetinkaya, Ali¹ (AUTHOR)

Zdroj: Information. Nov2025, Vol. 16 Issue 11, p960. 16p.

Témata: *Legal literature, *Data mining, *Machine learning, Language models, Model validation, Knowledge graphs

Large Language Model and Knowledge Graph-Driven AJCC Staging of Prostate Cancer Using Pathology Reports.

Autoři: Jo, Eunbeen Noh, Tae Il Joo, Hyung Joon

Zdroj: Diagnostics (2075-4418); Oct2025, Vol. 15 Issue 19, p2474, 19p

Témata: PROSTATE cancer, KNOWLEDGE graphs, CLINICAL decision support systems, TUMOR classification, LANGUAGE models, PATHOLOGY, DATA mining

From language models to large-scale food and biomedical knowledge graphs

Autoři: Cenikj, Gjorgjina Strojnik, Lidija Angelski, Risto a další

Zdroj: Sci Rep
Scientific Reports, Vol 13, Iss 1, Pp 1-14 (2023)
Scientific Reports

Témata: validation, relation extraction, Science, relation-mining pipelines, Article, biomedicinski grafi znanja, Pattern Recognition, Automated, Medicine, Humans, Data Mining, biomedical knowledge graphs, Language, Natural Language Processing

Popis souboru: text/url; application/pdf

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/37188766
https://doaj.org/article/22d19dd44d8f4ef0b6bf316e9cc781ec
https://dirros.openscience.si/IzpisGradiva.php?id=16510
https://doi.org/0.1038/s41598-023-34981-4
https://hdl.handle.net/20.500.12556/DiRROS-16510

Analysis of Progress in Data Mining of Scientific Literature Using Large Language Models.

Autoři: CAI Yiran HU Zhengyin LIU Chunjiang

Zdroj: Journal of Library & Information Science in Agriculture. 2025, Vol. 37 Issue 2, p4-22. 19p.

Témata: *LANGUAGE models, *SCIENTIFIC literature, *SCIENTIFIC knowledge, *KNOWLEDGE graphs, *DATA mining

Proceedings of the International Conference on Educational Data Mining (EDM) (12th, Montreal, Canada, July 2-5, 2019)

Autoři: International Educational Data Mining Society Lynch, Collin F. Merceron, Agathe a další

Zdroj: International Educational Data Mining Society. 2019.

Peer Reviewed: Y

Page Count: 823

Descriptors: Data Collection, Data Analysis, Information Retrieval, Content Analysis, Educational Research, Ethics, Evidence Based Practice, Grade Point Average, Inquiry, Game Based Learning, Metacognition, Student Records, Undergraduate Students, Predictor Variables, Student Satisfaction, Skill Development, Prediction, Programming, Large Group Instruction, Online Courses, Dropouts, Academic Achievement, Computation, Models, Time to Degree, Measurement Techniques, Institutional Characteristics, Help Seeking, Student Motivation, Artificial Intelligence, Interaction, Teaching Methods, Knowledge Level, Video Games, Cooperative Learning, Problem Solving, Grades (Scholastic), Reinforcement, Intelligent Tutoring Systems, Learning Activities, Graphs, Semantics, Difficulty Level, Affective Behavior, Telecommunications, Handheld Devices, Feedback (Response), English (Second Language), Second Language Instruction, Language Teachers, Concept Formation, Prior Learning, Grouping (Instructional Purposes), Tests, Scores, Markov Processes, Enrollment Trends, Man Machine Systems, Classification, Eye Movements, Physiology, Motion, Equipment, Academic Failure, Science Instruction, Educational Games, Misconceptions, Error Patterns, Active Learning, Writing Processes, Mathematics Skills, Success, Test Selection, Creativity, Geometry, Second Language Learning, Interpersonal Communication, Academic Language, Peer Evaluation, Emotional Response, Student Characteristics, Gender Differences, Electronic Mail, Learning, Student Attitudes, Cheating, Educational Administration, Justice, Natural Language Processing, College Students, Student Behavior, Automation, Scoring, Essays, Mandarin Chinese, Tone Languages, Parent Role, Mathematics Instruction, Experiential Learning, Individual Differences, Search Strategies, Visualization, Performance Based Assessment, Independent Study, Grade 8, Mathematics Achievement, Writing Skills, High School Students, Web Based Instruction, Instructional Materials, Graduates, Employment, Minority Group Students, At Risk Students, Program Effectiveness, Resource Units, Educational Needs, STEM Education, Career Choice, Video Technology, Social Values, Moral Values, Thinking Skills, Student Evaluation, Integrated Learning Systems, Error Correction, Foreign Countries, Chinese, Grading, Social Influences, Friendship, Item Response Theory, Grammar, Cooperation, Elective Courses, Course Selection (Students), Modeling (Psychology), Reaction Time, Homework, Liberal Arts, Young Children, Computer Software

Geografický termín: Brazil

Proceedings of the International Conference on Educational Data Mining (EDM) (11th, Raleigh, North Carolina, July 16-20, 2018)

Autoři: International Educational Data Mining Society Boyer, Kristy Elizabeth Yudelson, Michael

Zdroj: International Educational Data Mining Society. 2018.

Peer Reviewed: Y

Page Count: 656

Descriptors: Data Collection, Data Analysis, Computer Science Education, Program Proposals, Risk Management, Educational Research, Instructional Design, Mathematics Instruction, Student Behavior, Teaching Methods, Knowledge Level, Workplace Learning, Gender Differences, Engineering Education, College Applicants, Educational Technology, Technology Uses in Education, Online Courses, Evaluation Methods, Performance, Prediction, Interpersonal Relationship, Large Group Instruction, College Credits, Questioning Techniques, Perception, Electronic Publishing, Textbooks, Persistence, Educational Games, Student Motivation, Study Habits, Brain, Problem Solving, Cooperation, Curriculum, Individualized Instruction, Eye Movements, Observation, Measurement, English (Second Language), Academic Achievement, Student Characteristics, Self Esteem, Computer Simulation, Vocabulary, Foreign Countries, Models, Accuracy, Error Patterns, Motion, Learning Modalities, Speech Acts, Adult Learning, Adult Literacy, Intelligent Tutoring Systems, Video Technology, Group Discussion, Learner Engagement, Student Attitudes, Certification, Enrollment, Institutional Characteristics, Diaries, Dropouts, Academic Persistence, Blended Learning, Predictor Variables, Documentation, College Students, Networks, Misconceptions, Reading, Interaction, Graphs, Autism, Pervasive Developmental Disorders, Children, Social Development, Integrated Learning Systems, Grades (Scholastic), Plagiarism, Tests, Higher Education, Programming, Cognitive Processes, Artificial Intelligence, STEM Education, English Instruction, Student Diversity, Scores, Classroom Environment, Item Response Theory, Natural Language Processing, Personnel Selection, Computer Assisted Testing, Transformative Learning

Geografický termín: Uruguay, Germany

Chinese Named Entity Recognition for Bridge Damage and Defects Based on Text Mining and Natural Language Pretraining Models.

Autoři: Liu, Jiaqi Li, Weijie Li, Fangchang a další

Zdroj: Journal of Construction Engineering & Management. Jun2025, Vol. 151 Issue 6, p1-12. 12p.

Témata: *LANGUAGE models, *NATURAL language processing, *LONG short-term memory, *BRIDGE defects, *KNOWLEDGE graphs, *BRIDGE inspection

Drug repurposing for Alzheimer's disease using a graph-of-thoughts based large language model to infer drug-disease relationships in a comprehensive knowledge graph.

Autoři: Wang, Zhiping Paul Li, Xi Matsumoto, Nicholas a další

Zdroj: BioData Mining; 8/5/2025, Vol. 18 Issue 1, p1-19, 19p

Témata: ALZHEIMER'S disease, KNOWLEDGE graphs, DRUG discovery, MACHINE learning, LANGUAGE models, DRUG repositioning

知识图谱驱动下粮食生产大数据应用现状与展望.

Alternate Title: Knowledge Graph Driven Grain Big Data Applications: Overview and Perspective.

Autoři: 杨晨雪 李 娴 周清波

Zdroj: Smart Agriculture. Mar2025, Vol. 7 Issue 2, p26-40. 15p.

Témata: *LANGUAGE models, *KNOWLEDGE graphs, *SUSTAINABILITY, *INFERENCE (Logic), *DATA privacy, *ONTOLOGIES (Information retrieval)

Proceedings of the Seventh International Conference on Educational Data Mining (EDM) (7th, London, United Kingdom, July 4-7, 2014)

Autoři: International Educational Data Mining Society Stamper, John Pardos, Zachary a další

Zdroj: International Educational Data Mining Society. 2014.

Peer Reviewed: N

Page Count: 485

Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection, Educational Research, Online Courses, Prior Learning, Teaching Methods, Causal Models, Behavior, Algebra, Video Games, Scores, Grade 6, Mathematics Achievement, Standards, Evaluation Methods, Prediction, Gender Differences, Foreign Countries, Knowledge Level, Electronic Learning, Problem Solving, Item Response Theory, Programming, Individual Differences, Generalization, Models, Educational Games, Video Technology, Group Discussion, Computer Mediated Communication, Large Group Instruction, Verbal Ability, Eye Movements, Affective Behavior, Sequential Approach, Maps, Visualization, Simulation, Intelligent Tutoring Systems, Natural Language Processing, Textbooks, Risk, Learner Engagement, Mathematics, Computer Assisted Testing, Student Evaluation, Learning Theories, Classroom Communication, Scientific Concepts, Error Patterns, Learning Processes, Logical Thinking, Questioning Techniques, STEM Education, Majors (Students), Nonmajors, College Attendance, Middle Schools, Computer Software, Mathematics Education, Matrices, Individualized Instruction, Case Studies, Science Instruction, Freehand Drawing, Topology, Computer Security, Feedback (Response), Mathematics Instruction, Grammar, Writing Evaluation, Writing Instruction, Writing Skills, Interaction, Nonverbal Communication, Lecture Method, Grading, Self Evaluation (Individuals), Student Behavior, Academic Persistence, Dropouts, Reading Comprehension, Statistical Analysis, Blended Learning, Comparative Analysis, Cost Effectiveness, Undergraduate Study, Course Evaluation, Cognitive Processes, Planning, Correlation, Learning Experience, Diagnostic Tests, Computer Peripherals, Asynchronous Communication, Standardized Tests, Coding, Student Characteristics, Classification, Educational Environment, Tests, Developmental Studies Programs, Remedial Mathematics, Hypothesis Testing, Essays, Visual Aids, Research Methodology, Educational Objectives, Cooperative Learning, Student Reaction, Group Dynamics, Peer Evaluation, Peer Influence, Student Attrition, Academic Achievement, Factor Analysis, Electronic Publishing, Measurement Techniques, Homework, Learning Modalities, Experiential Learning, Self Esteem, Emotional Response, Student Motivation, Incentives, Graphs, Integrated Learning Systems

Geografický termín: Finland, France

Assessment and Survey Identifiers: Program for International Student Assessment

LLM4DyG: Can Large Language Models Solve Spatial-Temporal Problems on Dynamic Graphs?

Autoři: Zeyang Zhang Xin Wang Ziwei Zhang a další

Zdroj: Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. :4350-4361

Témata: FOS: Computer and information sciences, Computer Science - Machine Learning, Machine Learning (cs.LG)

Přístupová URL adresa: http://arxiv.org/abs/2310.17110

AnomalyLLM: Few-Shot Anomaly Edge Detection for Dynamic Graphs Using Large Language Models

Autoři: Liu, Shuo Yao, Di Fang, Lanting a další

Zdroj: 2024 IEEE International Conference on Data Mining (ICDM). :785-790

Témata: FOS: Computer and information sciences, Computer Science - Machine Learning, Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence, Machine Learning (cs.LG)

Přístupová URL adresa: http://arxiv.org/abs/2405.07626

Knowledge precedence networks: Mining progression patterns of scientific discoveries beyond prerequisites.

Autoři: Xiang, Shibing Liu, Bing Jiang, Xin a další

Zdroj: Information Processing & Management. Mar2026:Part B, Vol. 63 Issue 2, pN.PAG-N.PAG. 1p.

Témata: *Cognitive science, Scientific discoveries, Interdisciplinary research, Knowledge graphs, University research

Lessons learned to enable question answering on knowledge graphs extracted from scientific publications: A case study on the coronavirus literature

Autoři: Badenes Olmedo, Carlos Corcho, Oscar

Zdroj: J Biomed Inform
Journal of Biomedical Informatics, ISSN 15320464, 2023-01-01, Vol. 142
Archivo Digital UPM
Universidad Politécnica de Madrid

Témata: Glycosylation, Coronaviruses, Health Care Personnel, Diseases, Workflow, Pattern Recognition, Automated, Machine Learning, SCIENTIFIC PUBLICATIONS, Pregnancy, Smoke, Data Mining, Question answering, question, Language, Original Research, Informática, Coronavirus disease 2019, Question-answering, Ontology, Ontology's, Publications, Chloroquine, Named Entity Recognition, 3. Good health, Scientific Literature, Algorithm, automated pattern recognition, Knowledge, Lamivudine, Natural Language Processing Systems, open access publishing, Case-studies, Question Answering Systems, Human, severe acute respiratory syndrome coronavirus 2, Automated, Knowledge Base, Nicotine, Medicina, Work-flows, Pattern Recognition, Article, Cigarette Smoking, Therapeutic community, Knowledge graphs, Humans, Modeling languages, Natural Language Processing, evidence, Questionnaire, SARS-CoV-2, Neutralizing Antibody, COVID-19, Traditional Medicine, answering service, Coronavirus, Gene Ontology, knowledge graph, Tobacco Consumption, Evidences, Natural Languages, Publication, Middle East respiratory syndrome coronavirus

Popis souboru: application/pdf

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/37156393
https://oa.upm.es/81278/

GuARD: Effective Anomaly Detection through a Text-Rich and Graph-Informed Language Model

Autoři: Yunhe Pang Bo Chen Fanjin Zhang a další

Zdroj: Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2. :2222-2233

Témata: FOS: Computer and information sciences, Artificial Intelligence (cs.AI), Artificial Intelligence, Computation and Language, Computation and Language (cs.CL)

Přístupová URL adresa: http://arxiv.org/abs/2412.03930

Deep Learning on Graphs: Tackling Scalability, Privacy, and Multimodality

Autoři: Min Ji Yoon

Témata: Pattern recognition, Data mining and knowledge discovery, Deep Learning, Graph Mining, Deep Learning on Graphs, Graph Representation Learning, Graph Neural Networks, Graph Convolution Networks, Graph Neural Architecture Search, Message Passing, Importance Neighborhood Sampling on Graphs, Transfer Learning on Graphs, Heterogeneous Graph Neural Networks, Graph Generative Models, Graph Transformer, Multimodal Graphs, Multimodal Learning, Multimodal Graph Learning, Language Models, Pattern Recognition and Data Mining

Relation: https://figshare.com/articles/thesis/Deep_Learning_on_Graphs_Tackling_Scalability_Privacy_and_Multimodality/26798323

Dostupnost: https://doi.org/10.1184/r1/26798323.v1
https://figshare.com/articles/thesis/Deep_Learning_on_Graphs_Tackling_Scalability_Privacy_and_Multimodality/26798323

Can open source large language models be used for tumor documentation in Germany?—An evaluation on urological doctors' notes.

Autoři: Lenz, Stefan Ustjanzew, Arsenij Jeray, Marco a další

Zdroj: BioData Mining; 7/24/2025, Vol. 18 Issue 1, p1-25, 25p

Témata: LANGUAGE models, MEDICAL records, DATA mining, UROLOGISTS, OPEN source software, MEDICAL language

Geografický termín: GERMANY

Natural language processing in veterinary pathology: A review.

Autoři: Stimmer, Lev Kuiper, Raoul V. Polledo, Laura a další

Zdroj: Veterinary Pathology. Nov2025, Vol. 62 Issue 6, p829-848. 20p.

Explainable Mining of Graphs and Time Series: Algorithms and Applications

Autoři: Meng-Chieh Lee

Témata: Information and computing sciences, Pattern recognition, Data mining and knowledge discovery, Graph Mining, Network Effects, Random Walks, Belief Propagation, Node Classification, Graph Neural Networks, Linear Graph Neural Networks, Link Prediction, Information Theory, Usable Information, Large Language Models, Large Language Model Agents, Retrieval Augmented Generation, Knowledge Graphs

Relation: https://figshare.com/articles/thesis/Explainable_Mining_of_Graphs_and_Time_Series_Algorithms_and_Applications/29448089

Dostupnost: https://doi.org/10.1184/r1/29448089.v1
https://figshare.com/articles/thesis/Explainable_Mining_of_Graphs_and_Time_Series_Algorithms_and_Applications/29448089