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15 articles for “Correlation Clustering”
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Research ArticleOpen accessPhrase in the titleIntegrating Correlation Clustering and Agglomerative Hierarchical Clustering for Holistic Schema MatchingBasel Alshaikhdeeb, Kamsuriah AhmadHolistic schema matching is the process of carrying off several number of schemas as an input and outputs the correspondences among them. Treating large number of schemas may consume longer time with poor quality. Therefore, several clustering approaches have been proposed in order to reduce the search space by partitioning the data into smaller portions which can facilitate the matching … …Journal of Computer Science, Vol. 11, Issue 3 · 3 Apr 2015 · 6,389 accessesView PDFCite
Research ArticleOpen accessIn the keywordsDetecting Anomalies in IoT Using Intuitionistic Fuzzy Clustering AlgorithmsVijo Arul Selvi M., Fehmin Nadira Laskar, Fokrul Alom Mazarbhuiya et al.Intuitionistic Fuzzy Sets (IFS) are convenient ways to represent the vagueness and uncertainty inherent in any dataset. There are many uses of these. One such use is the Fuzzy C-Means (FCM) algorithm, which clusters the data objects into a pre-assigned (c) number of fuzzy clusters, which has been adopted in many fields, namely, pattern classification, anomaly detection, fraud identification, etc. … …Journal of Computer Science, Vol. 22, Issue 2 · 2 Mar 2026 · 1,600 accessesView PDFCite
Research ArticleOpen accessIn the keywordsImproving Protein 3D Structure Prediction Accuracy using Dense Regions Areas of Secondary Structures in the Contact MapAmer F. Al-Badarneh, Mohammad A. Khalil, Mo'taz A. Al-HamiProblem Statement: The protein folding problem is a fundamental problem in structural molecular biology. This problem describes how a protein is transformed from its primary sequence (i.e., amino acid sequence) into the three dimensional structure (3D structure) for this sequence that determines the function of the protein. The 3D structure of a protein can be represented using a square symmetrical … …American Journal of Biochemistry and Biotechnology, Vol. 4, Issue 4 · 31 Dec 2008 · 7,533 accessesView PDFCite
Research ArticleOpen accessIn the abstractMultimodal Face Expression Recognition Using Parametric Exponential Linear Unit-Long Short-Term MemoryKampa Ratna Babu, Akula Suneetha, Kampa Kanthi KumarMultimodal facial expression recognition combines information from multiple modalities of audio and video to achieve the required accuracy and robustness. By integrating different data sources, multimodal systems capture different aspects of human expression. However, accurately recognizing facial expressions across audio and video modalities causes challenges due to variations in expression representation. In this research, Parametric Exponential Linear Unit-Long Short-Term Memory … …Journal of Computer Science, Vol. 20, Issue 10 · 17 Aug 2024 · 4,612 accessesView PDFCite
Research ArticleOpen accessIn the abstractSemSimp: A Parametric Method for Evaluating the Semantic Similarity of Digital ResourcesAntonio De Nicola, Anna Formica, Ida Mele, Francesco TaglinoAbioui, H., Idarrou, A., Bouzit, A., & Mammass, D. (2018). Towards a Novel and Generic Approach for OWL Ontology Weighting. Procedia Computer Science, 127, 426–435. https://doi.org/10.1016/j.procs.2018.01.140 Adhikari, A., Dutta, B., Dutta, A., Mondal, D., & Singh, S. (2018). An intrinsic information content-based semantic similarity measure considering the disjoint common subsumers of concepts of an ontology. Journal of the Association for … …Journal of Computer Science, Vol. 20, Issue 8 · 27 May 2024 · 5,773 accessesView PDFCite
Research ArticleOpen accessIn the abstractAutomatic Counting for Live and Dead Cells from Trypan Blue-Stained Images by Image Analysis Based on Adaptive K-Means ClusteringSu Mon Aung, Kanyanatt Kanokwiroon, Tonghathai Phairatana, Surapong ChatpunComputer-assisted image analysis can be employed to reduce the time consumed in the routine task such as cell counting. This study aimed to establish a method to perform this routine task based on an image analysis to automatically count live and dead cells after staining with trypan blue dye. Gray scale conversion and morphological operation were applied to the input … …Journal of Computer Science, Vol. 15, Issue 2 · 1 Mar 2019 · 8,566 accessesView PDFCite
Review ArticleOpen accessIn the abstractStatistical Binarization Techniques for Document Image AnalysisSaad M. Ismail, Siti Norul Huda Sheikh Abdullah, Fariza FauziBinarization is an important process in image enhancement and analysis. Currently, numerous binarization techniques have been reported in the literature. These binarization methods produce binary images from color or gray-level images. This article highlights an extensive review on various binarization approaches which are also referred to as thresholding methods. These methods are grouped into seven categories according to the employed … …Journal of Computer Science, Vol. 14, Issue 1 · 3 Jan 2018 · 8,160 accessesView PDFCite
Research ArticleOpen accessIn the abstractMultilevel Mixed Analysis and Mapping on Divorce Problem in UAEFaisal G. KhamisDespite the wealth of research investigating the divorce problem in the developed countries, few and inconsistent studies investigated this problem at emirate-level in developing countries, such as United Arab Emirates (UAE). The Questions are raised whether divorce is changed over time and whether clustering in divorce exists within emirates in UAE. The objectives are to investigate the change in divorce … …Journal of Mathematics and Statistics, Vol. 12, Issue 4 · 31 Oct 2016 · 7,296 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe use of Random Forest Classification and K-means Clustering Algorithm for Detecting Time Stamped Signatures in the Active NetworksKamalanaban Ethala, R. Shesadri, N. G. RenganathanIn day to day information security infrastructure, intrusion detection is indispensible. Signature based intrusion detection system mechanisms are often available in detecting many types of attacks. But this mechanism alone is not sufficient in many cases. Another intrusion detection method viz K-means is employed for clustering and classifying the unlabelled data. IDS is a special embedded device or relied software … …Journal of Computer Science, Vol. 9, Issue 7 · 18 Jun 2013 · 7,496 accessesView PDFCite
Research ArticleOpen accessIn the abstractOn Studying Spatial Patterns and Association Between these Patterns of Mortality and Prosperity in MalaysiaFaisal G. Khamis, Abdul Aziz Jemain, Kamarulzaman IbrahimIn this study, we examined the geographical distribution (the spatial structure) of mortality and prosperity in Malaysia. In addition we proposed an approach to investigate the association between clustering patterns of mortality and prosperity across different areas of the country. To characterize the geographic pattern of mortality and prosperity, three indicators (infant, neonatal, and stillbirth) were proposed for mortality and … …American Journal of Applied Sciences, Vol. 5, Issue 7 · 31 Jul 2008 · 6,935 accessesView PDFCite