Wyniki wyszukiwania dla: NEWS CLUSTERING

• Categorization of Wikipedia articles with spectral clustering

  Publikacja

  • J. Szymański

  - LECTURE NOTES IN COMPUTER SCIENCE - Rok 2011

  Abstract. The article reports application of clustering algorithms for creating hierarchical groups withinWikipedia articles.We evaluate three spectral clustering algorithms based on datasets constructed with usage ofWikipedia categories. Selected algorithm has been implemented in the system that categorize Wikipedia search results in the fly.

• Categorization of Cloud Workload Types with Clustering

  Publikacja

  • P. Orzechowski
  • J. Proficz
  • H. Krawczyk
  • J. Szymański

  - Rok 2017

  The paper presents a new classification schema of IaaS cloud workloads types, based on the functional characteristics. We show the results of an experiment of automatic categorization performed with different benchmarks that represent particular workload types. Monitoring of resource utilization allowed us to construct workload models that can be processed with machine learning algorithms. The direct connection between the functional...

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• Clustering Bathymetric Data for Electronic Navigational Charts

  Publikacja

  • M. Wlodarczyk–Sielicka
  • A. Stateczny

  - JOURNAL OF NAVIGATION - Rok 2016

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• Agent-Based Non-distributed and Distributed Clustering

  Publikacja

  • I. Czarnowski
  • P. Jȩdrzejowicz

  - Rok 2009

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• Weighted Clustering for Bees Detection on Video Images

  Publikacja

  • J. Szymański
  • J. Dembski

  - Rok 2020

  This work describes a bee detection system to monitor bee colony conditions. The detection process on video images has been divided into 3 stages: determining the regions of interest (ROI) for a given frame, scanning the frame in ROI areas using the DNN-CNN classifier, in order to obtain a confidence of bee occurrence in each window in any position and any scale, and form one detection window from a cloud of windows provided by...

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• Clustering Context Items into User Trust Levels

  Publikacja

  • P. Lubomski
  • H. Krawczyk

  - Advances in Intelligent Systems and Computing - Rok 2016

  An innovative trust-based security model for Internet systems is proposed. The TCoRBAC model operates on user profiles built on the history of user with system interaction in conjunction with multi-dimensional context information. There is proposed a method of transforming the high number of possible context value variants into several user trust levels. The transformation implements Hierarchical Agglomerative Clustering strategy....

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• K-means clustering for SAT-AIS data analysis

  Publikacja

  • M. Mieczyńska
  • I. Czarnowski

  - WMU Journal of Maritime Affairs - Rok 2021

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• Development and Research of the Text Messages Semantic Clustering Methodology

  Publikacja

  • N. Rizun
  • P. Kapłański
  • Y. Taranenko

  - Rok 2016

  The methodology of semantic clustering analysis of customer’s text-opinions collection is developed. The author's version of the mathematical models of formalization and practical realization of short textual messages semantic clustering procedure is proposed, based on the customer’s text-opinions collection Latent Semantic Analysis knowledge extracting method. An algorithm for semantic clustering of the text-opinions is developed,...

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• Spectral Clustering Wikipedia Keyword-Based search Results

  Publikacja

  • J. Szymański
  • T. Dziubich

  - FRONTIERS IN ROBOTICS AND AI - Rok 2017

  The paper summarizes our research in the area of unsupervised categorization of Wikipedia articles. As a practical result of our research, we present an application of spectral clustering algorithm used for grouping Wikipedia search results. The main contribution of the paper is a representation method for Wikipedia articles that has been based on combination of words and links and used for categoriation of search results in this...

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• Ontology clustering by directions algorithm to expand ontology queries

  Publikacja

  • A. Kaczmarek

  - Rok 2009

  This paper concerns formulating ontology queries. It describes existing languages in which ontologies can be queried. It focuses on languages which are intended to be easily understood by users who are willing to retrieve information from ontologies. Such a language can be, for example, a type of controlled natural language (CNL). In this paper a novel algorithm called Ontology Clustering by Directions is presented. The algorithm...