Search Results - Topic-based hierarchical clustering approach*

Classifying spam emails using agglomerative hierarchical clustering and a topic-based approach

Authors: Janez-Martino, F. Alaiz-Rodriguez, R. Gonzalez-Castro, V. et al.

Index Terms: Computer Science - Machine Learning, Computer Science - Artificial Intelligence, text

URL: http://arxiv.org/abs/2402.05296

Classifying spam emails using agglomerative hierarchical clustering and a topic-based approach

Authors: Francisco Jáñez-Martino Rocío Alaiz-Rodríguez Víctor González-Castro et al.

Contributors: Francisco Jáñez-Martino Rocío Alaiz-Rodríguez Víctor González-Castro et al.

Source: BULERIA. Repositorio Institucional de la Universidad de León
Universidad de León

Subject Terms: Informática, Computer Science - Machine Learning, Computer Science - Artificial Intelligence, Spam detection, Hidden text, Text classification, Term frequency, Word embedding, Image-based spam, Multi-classification

Access URL: http://arxiv.org/abs/2402.05296
http://hdl.handle.net/10612/15999

Classifying spam emails using agglomerative hierarchical clustering and a topic-based approach.

Authors: Jáñez-Martino, Francisco Alaiz-Rodríguez, Rocío González-Castro, Víctor et al.

Source: Applied Soft Computing. May2023, Vol. 139, pN.PAG-N.PAG. 1p.

Subject Terms: Spam email, Hierarchical clustering (Cluster analysis), Machine learning, Support vector machines, Random forest algorithms, Logistic regression analysis

Hierarchical marker genes selection in scRNA-seq analysis.

Authors: Sun, Yutong Qiu, Peng

Source: PLoS Computational Biology; 12/12/2024, Vol. 20 Issue 12, p1-13, 13p

Subject Terms: GENE expression, HIERARCHICAL clustering (Cluster analysis), CELL populations, GENES, RNA sequencing

Classifying spam emails using agglomerative hierarchical clustering and a topic-based approach

Authors: Ingenieria de Sistemas y Automatica Jáñez Martino, Francisco Alaiz Rodríguez, Rocío et al.

Index Terms: Informática, info:eu-repo/semantics/article

URL: http://hdl.handle.net/10612/15999

Bridging Text and Knowledge: Explainable AI for Knowledge Graph Classification and Concept Map-Based Semantic Domain Discovery with OBOE Framework.

Authors: del Águila Escobar, Raúl A. del Carmen Suárez-Figueroa, María Fernández López, Mariano et al.

Source: Applied Sciences (2076-3417); Nov2025, Vol. 15 Issue 22, p12231, 34p

Subject Terms: KNOWLEDGE graphs, CLUSTERING algorithms, CONCEPT mapping, ARTIFICIAL intelligence, KNOWLEDGE representation (Information theory), LANGUAGE models

Topic-based hierarchical Bayesian linear regression models for niche items recommendation.

Authors: Liu, Yezheng Xiong, Qiang Sun, Jianshan et al.

Source: Journal of Information Science. Feb2019, Vol. 45 Issue 1, p92-104. 13p.

Subject Terms: *HIERARCHICAL clustering (Cluster analysis), *BAYESIAN analysis, *REGRESSION analysis, *ELECTRONIC commerce, *INFORMATION science

A Function Area Division Approach for Autonomous Transportation System Based on Text Similarity.

Authors: Huang, Ke Chen, Caiting Xiao, Yao et al.

Source: Journal of Advanced Transportation; 6/2/2023, p1-13, 13p

Subject Terms: INTELLIGENT transportation systems, TECHNOLOGICAL innovations, HIERARCHICAL clustering (Cluster analysis), MOTOR vehicle driving, AUTONOMOUS vehicles

Clustering-Based Approach for Building Code Computability Analysis.

Authors: Zhang, Ruichuan El-Gohary, Nora

Source: Journal of Computing in Civil Engineering; Nov2021, Vol. 35 Issue 6, p1-14, 14p

Subject Terms: EVALUATION methodology, HIERARCHICAL clustering (Cluster analysis)

Interactive Steering of Hierarchical Clustering.

Authors: Yang, Weikai Wang, Xiting Lu, Jie et al.

Source: IEEE Transactions on Visualization & Computer Graphics; Oct2021, Vol. 27 Issue 10, p3953-3967, 15p

Subject Terms: HIERARCHICAL clustering (Cluster analysis), ANT algorithms, DATA distribution

Reviews & Products: WIKIPEDIA

Exploring What Shapes Guest Experiences in Istanbul's Airbnb: Insights from Topic Modeling.

Alternate Title: İstanbul'daki Airbnb Misafir Deneyimlerini Ne Şekillendiriyor: Konu Modellemesi Yoluyla İçgörüler. (Turkish)

Authors: Balcıoğlu, Yavuz Selim

Source: Urban Academy/ Kent Akademisi; 2024, Vol. 17 Issue 2, p393-410, 18p

Subject Terms: CUSTOMER satisfaction, CUSTOMER experience, USER-generated content, HIERARCHICAL clustering (Cluster analysis), CONSUMER preferences, SATISFACTION

Geographic Terms: ISTANBUL (Turkey)

Company/Entity: AIRBNB Inc.

KEMoS: A knowledge-enhanced multi-modal summarizing framework for Chinese online meetings.

Authors: Qi, Peng Sun, Yan Yao, Muyan et al.

Source: Neural Networks. Oct2024, Vol. 178, pN.PAG-N.PAG. 1p.

Subject Terms: *KNOWLEDGE graphs, *HIERARCHICAL clustering (Cluster analysis), *ENTROPY (Information theory), *TRANSFORMER models, *ENCODING

Delineating Source and Sink Zones of Trip Journeys in the Road Network Space.

Authors: Shi, Yan Chen, Bingrong Huang, Jincai et al.

Source: ISPRS International Journal of Geo-Information; May2024, Vol. 13 Issue 5, p150, 28p

Subject Terms: HIERARCHICAL clustering (Cluster analysis), VOYAGES & travels, ROADS

Geographic Terms: XIAMEN Shi (China)

Deep Learning and NLP-Based Trend Analysis in Actuators and Power Electronics.

Authors: Jung, Woojun Cho, Keuntae

Source: Actuators; Aug2025, Vol. 14 Issue 8, p379, 35p

Subject Terms: ACTUATORS, POWER electronics, DEEP learning, AUTOMATION, TEXT mining, TREND analysis

Intelligent deep learning‐based hierarchical clustering for unstructured text data.

Authors: Jyothi, Bankapalli Lingamgunta, Sumalatha Eluri, Suneetha

Source: Concurrency & Computation: Practice & Experience; Dec2022, Vol. 34 Issue 28, p1-20, 20p

Subject Terms: HIERARCHICAL clustering (Cluster analysis), DEEP learning, NATURAL language processing, DOCUMENT clustering, FEATURE extraction, MACHINE learning

Defining the big social data paradigm through a systematic literature review approach.

Authors: Solazzo, Gianluca Elia, Gianluca Passiante, Giuseppina

Source: Journal of Knowledge Management; 2021, Vol. 25 Issue 7, p1853-1887, 35p

Subject Terms: BIG data, HIERARCHICAL clustering (Cluster analysis), KNOWLEDGE management, MACHINE learning, SCIENCE publishing

Semi-automating the Scoping Review Process: Is it Worthwhile? A Methodological Evaluation.

Authors: Zhang, Shan Palaguachi, Chris Pitera, Marcin et al.

Source: Educational Psychology Review; Dec2024, Vol. 36 Issue 4, p1-35, 35p

Incremental Hierarchical Clustering driven Automatic Annotations for Unifying IoT Streaming Data.

Authors: Balakrishna, Sivadi Thirumaran, M. Solanki, Vijender Kumar et al.

Source: International Journal of Interactive Multimedia & Artificial Intelligence; Jun2020, Vol. 6 Issue 2, p56-70, 15p

Subject Terms: ANNOTATIONS, HIERARCHICAL clustering (Cluster analysis), CYBER physical systems, DATA integration, INTERNET of things

Topic based Summarization of Multiple Documents using Semantic Analysis and Clustering

Authors: Fahad Maqbool Rubab Hafeez Muhammad Azeem Abbas et al.

Source: 2018 15th International Conference on Smart Cities: Improving Quality of Life Using ICT & IoT (HONET-ICT). :70-74

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 01 natural sciences, 0105 earth and related environmental sciences

Access URL: http://xplorestaging.ieee.org/ielx7/8535587/8551318/08551325.pdf?arnumber=8551325
http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=8551325

How Does a CEO Change Employees’ Perceptions? A BERTopic Modeling of Employees’ Comments on Glassdoor.com.

Authors: Waddell, Kristen Suhyung Lee Humphries, Jamie

Source: Journal of Research in Business Information Systems; Fall2024, Vol. 17 Issue 1, p33-49, 17p

Subject Terms: EMPLOYEE psychology, HIERARCHICAL clustering (Cluster analysis), CHIEF executive officers, DATA visualization, EDUCATORS

People: MUSK, Elon, 1971-