Search Results - Topic-based hierarchical clustering approach

Classifying spam emails using agglomerative hierarchical clustering and a topic-based approach by Jáñez-Martino, Francisco, Alaiz-Rodríguez, Rocío, González-Castro, Víctor, Fidalgo, Eduardo, Alegre, Enrique

“… Focusing on the needs of cybersecurity units, we follow a topic-based approach for addressing the classification of spam email into multiple categories…”
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KEMoS: A knowledge-enhanced multi-modal summarizing framework for Chinese online meetings by Qi, Peng, Sun, Yan, Yao, Muyan, Tao, Dan

“… Then, we raise a topic-based hierarchical clustering approach, which considers information entropy and difference simultaneously, to capture the semantic evolution of meetings…”
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Classifying spam emails using agglomerative hierarchical clustering and a topic-based approach by Janez-Martino, F, Alaiz-Rodriguez, R, Gonzalez-Castro, V, Fidalgo, E, Alegre, E

“… Focusing on the needs of cybersecurity units, we follow a topic-based approach for addressing the classification of spam email into multiple categories…”
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Multi-granularity hierarchical topic-based segmentation of structured, digital library resources by Wang, Zhongyi, Zhang, Jin, Huang, Jing

“… library’s structured resources, this paper aimed to propose a new multi-granularity hierarchical topic-based segmentation system (MHTSS…”
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Formal concept analysis for topic detection: A clustering quality experimental analysis by Castellanos, A., Cigarrán, J., García-Serrano, A.

“…) evaluation methodology.•We conduct an extensive analysis of the performance for the topic detection task of Hierarchical Agglomerative Clustering and Latent Dirichlet Allocation in comparison to FCA…”
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Efficient Solution for Large-Scale IoT Applications with Proactive Edge-Cloud Publish/Subscribe Brokers Clustering by Pham, Van-Nam, Lee, Ga-Won, Nguyen, VanDung, Huh, Eui-Nam

“… delivery with low latency and high scalability. In this paper, we investigate a hierarchical Edge-Cloud publish/subscribe brokers model using an efficient two-tier routing scheme to alleviate these issues when transmitting event notifications…”
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A Topic-Based Unsupervised Learning Approach for Online Underground Market Exploration by Huang, Shin-Ying, Ban, Tao

“… To understand more about the underground economy of cyber fraud and its actors, we propose a topic-based hierarchical self-organizing map, which can well represent and visualize actors' similarity…”
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Topic based Summarization of Multiple Documents using Semantic Analysis and Clustering by Hafeez, Rubab, Khan, Sharifullah, Abbas, Muhammad Azeem, Maqbool, Fahad

“…; that are important and semantically linked with other sentences. With the combination of agglomerative hierarchical clustering and Latent Semantic Analysis (LSA…”
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Remote Sensing Image Fusion Using Hierarchical Multimodal Probabilistic Latent Semantic Analysis by Fernandez-Beltran, Ruben, Haut, Juan M., Paoletti, Mercedes E., Plaza, Javier, Plaza, Antonio, Pla, Filiberto

“… In this scenario, this paper presents a new topic-based image fusion framework, specially designed to fuse synthetic aperture radar (SAR…”
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Legal Documents Clustering and Summarization using Hierarchical Latent Dirichlet Allocation by Venkatesh, Ravi kumar

“… In this paper we propose an approach to cluster legal judgments based on the topics obtained from hierarchical Latent Dirichlet Allocation (hLDA…”
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Forecasting the Development of Self-Driving Technology in China by Multidimensional Information by Li, Yue, Zhou, Yan, Ma, Xiangying, Zhang, Yunxing

“… In this paper, a novel technology forecasting model is developed. The topic-based text mining and expert judgment approaches are combined to forecast the technology trends efficiently and accurately…”
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Automatic discovery of topics and acoustic morphemes from speech by Cerisara, Christophe

“… clustering of the lexical entries based on a knowledge-poor co-occurrence approach. The resulting semantic lexicon is then used to automatically cluster the incoming speech stream into topics…”
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Leveraging Formal Concept Analysis with Topic Correlation for Service Clustering and Discovery by Aznag, Mustapha, Quafafou, Mohamed, Jarir, Zahi

“… Based on the topic correlation, service descriptions can be grouped into hierarchical clusters…”
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Deep learning-based open API recommendation for Mashup development by Wang, Ye, Chen, Junwu, Huang, Qiao, Xia, Xin, Jiang, Bo

“… First, the hierarchical density-based spatial clustering of applications with a noise topic model is constructed to build topic models for Mashup clusters. Second, developers…”
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Topic-based habitat classification using visual data by Pizarro, O., Williams, S.B., Colquhoun, J.

“… a `bag of features' object recognition system for unsupervised clustering of marine habitat imagery…”
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Turkish medical educators’ TPACK components and characters: an analysis within the framework of simulation-based medical education by Karadag, Engin

“…Background Nowadays, a comprehensive approach is needed to describe the current status of the technology integration process and the identification of the factors that affect it, because the…”
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Deep Learning and NLP-Based Trend Analysis in Actuators and Power Electronics by Jung, Woojun, Cho, Keuntae

“… reduction and HDBSCAN for clustering. The approach also employed class-based TF-IDF calculations, intertopic distance visualization, and hierarchical clustering to clarify topic structures…”
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Visual precis generation using coresets by Paul, Rohan, Feldman, Dan, Rus, Daniela, Newman, Paul

“… Our approach consists of data pre-clustering using coresets followed by a graph based incremental clustering procedure using a topic based image representation…”
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Semi-supervised topic classification for low resource languages by Daben Liu, McVeety, S., Prasad, R., Natarajan, P.

“…In this paper, we present a novel methodology for rapidly developing a topic-based document classification system for a language that has limited resources…”
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Towards Enhanced Topic Discovery on Semantic Maps for Biomedical Literature Exploration by Choi, Bin, Ondov, Brian, He, Huan, Xu, Hua

“… Our approach consists of three steps. First, we apply density-based hierarchical clustering using HDBSCAN to construct a topic tree…”
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