Relevant bibliographies by topics / Top-k class association rules

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Top-k class association rules'

Author: Grafiati
Published: 4 June 2025
Last updated: 1 August 2025

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Journal articles on the topic "Top-k class association rules"

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Nguyen, Loan, Ngoc-Thanh Nguyen, and Bogdan Trawiński. "A Quick Method for Querying Top-k Rules from Class Association Rule Set." JUCS - Journal of Universal Computer Science 22, no. (6) (2016): 822–35. https://doi.org/10.3217/jucs-022-06-0822.

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Finding class association rules (CARs) is one of the most important research topics in data mining and knowledge discovery, with numerous applications in many fields. However, existing techniques usually generate an extremely large number of results, which makes analysis difficult. In many applications, experts are interested in only the most relevant results. Therefore, we propose a method for querying top-k CARs based on their supports. From the set of mined CARs that satisfy the minimum support and the minimum confidence thresholds, we use a QuickSort-based method to query top-k rules. The
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Juliet Thessalonica, D., H. Khanna Nehemiah, S. Sreejith, and A. Kannan. "Intelligent Mining of Association Rules Based on Nanopatterns for Code Smells Detection." Scientific Programming 2023 (April 13, 2023): 1–18. http://dx.doi.org/10.1155/2023/2973250.

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Software maintenance is an imperative step in software development. Code smells can arise as a result of poor design as well as frequent code changes due to changing needs. Early detection of code smells during software development can help with software maintenance. This work focuses on identifying code smells on Java software using nanopatterns. Nanopatterns are method-level code structures that reflect the presence of code smells. Nanopatterns are extracted using a command-line interface based on the ASM bytecode analysis. Class labels are extracted using three tools, namely inFusion, JDeod
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Mattiev, Jamolbek, Monte Davityan, and Branko Kavsek. "ACMKC: A Compact Associative Classification Model Using K-Modes Clustering with Rule Representations by Coverage." Mathematics 11, no. 18 (2023): 3978. http://dx.doi.org/10.3390/math11183978.

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The generation and analysis of vast amounts of data have become increasingly prevalent in diverse applications. In this study, we propose a novel approach to address the challenge of rule explosion in association rule mining by utilizing the coverage-based representations of clusters determined by K-modes. We utilize the FP-Growth algorithm to generate class association rules (CARs). To further enhance the interpretability and compactness of the rule set, we employ the K-modes clustering algorithm with a distance metric that binarizes the rules. The optimal number of clusters is determined usi
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Khafaga, Doaa Sami, Amal H. Alharbi, Israa Mohamed, and Khalid M. Hosny. "An Integrated Classification and Association Rule Technique for Early-Stage Diabetes Risk Prediction." Healthcare 10, no. 10 (2022): 2070. http://dx.doi.org/10.3390/healthcare10102070.

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The number of diabetic patients is increasing yearly worldwide, requiring the need for a quick intervention to help these people. Mortality rates are higher for diabetic patients with other serious health complications. Thus, early prediction for such diseases positively impacts healthcare quality and can prevent serious health complications later. This paper constructs an efficient prediction system for predicting diabetes in its early stage. The proposed system starts with a Local Outlier Factor (LOF)-based outlier detection technique to detect outlier data. A Balanced Bagging Classifier (BB
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Salah Gebril, Rami, and Hanan Mohammed Ali. "ANALYZING THE BREAST CANCER DATA IN BMC USING THE TECHNIQUES OF ASSOCIATION RULES AND LINEAR DISCRIMINANT." EPH - International Journal of Applied Science 2, no. 3 (2016): 28–37. http://dx.doi.org/10.53555/eijas.v2i3.139.

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Decision making in considered to be one of the main goals of Applied Statistical Analysis or Data Mining, especially in the field of medicine when decisions about criticalmedical procedures concerning patients are to be made regarding clinical diagnosis, surgical operations and treatments. In this study, a medical data related to breast cancer patients, are being analyzed using two statistical techniques. The data represent patients records in Benghazi Medical Center (BMC) admitted in the period (2003 – 2005). The data matrix consists of 16 variables corresponding to a total of 263 patients (c
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Yin, Rui, Xinrui Zhou, Jie Zheng, and Chee Keong Kwoh. "Computational identification of physicochemical signatures for host tropism of influenza A virus." Journal of Bioinformatics and Computational Biology 16, no. 06 (2018): 1840023. http://dx.doi.org/10.1142/s0219720018400231.

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Avian influenza viruses from migratory birds have managed to cross host species barriers and infected various hosts like human and swine. Epidemics and pandemics might occur when influenza viruses are adapted to humans, causing deaths and enormous economic loss. Receptor-binding specificity of the virus is one of the key factors for the transmission of influenza viruses across species. The determination of host tropism and understanding of molecular properties would help identify the mechanism why zoonotic influenza viruses can cross species barrier and infect humans. In this study, we have co
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Christopher U, EBELOGU, and AGU Edward O. "Clustering, Classification, and Association Rule Mining for Educational Datasets." International Journal of Advances in Scientific Research and Engineering 08, no. 10 (2022): 37–51. http://dx.doi.org/10.31695/ijasre.2022.8.10.4.

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Understanding students/pupils within the context of school is the focus of the expanding research topic known as educational data mining. Before the adoption of data mining tools in student analysis, it was challenging to identify students who were at risk of failure. However, using educational data mining tools has made it straightforward to examine student performance on previous exams. It helps teachers understand the kind of children they are working with. This knowledge can assist teachers to tailor their lecture notes to each student's needs and help difficult students focus more through
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Irawan, Herry, Eva Nurhazizah, and Joe Nathan C. G. Panjaitan. "Analisis Perpindahan Wisatawan dan Preferensi Desrinasi Wisata Favorit Berdasarkan Geotag Instagram (Studi Kasus pada Destinasi Wisata Bandung Raya)." Jurnal Teknologi Informasi dan Ilmu Komputer 9, no. 3 (2022): 639. http://dx.doi.org/10.25126/jtiik.2022935747.

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<p class="Judul2">Pariwisata adalah salah satu generator utama cadangan devisa nasional dengan pertumbuhan 10,1% per tahun. Pariwisata juga diharapkan akan menjadi kekuatan utama ekonomi lokal. Beberapa langkah ditempuh Pemerintah Provinsi Jawa Barat dalam rangka meningkatkan kunjungan wisata, salah satunya dengan penerapan teknologi komunikasi dan informasi atau dikenal dengan konsep <em>smart tourism</em>. Instagram adalah media yang memungkinkan pengguna dapat membagikan foto dan video. Data foto dan video pada Instagram di-<em>generate </em>oleh pengguna sendi
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Azizović, Melisa. "Big Data cluster analysis." Ekonomski izazovi 13, no. 25 (2024): 21–33. http://dx.doi.org/10.5937/ekoizazov2425020a.

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In this paper, we focused on cluster analysis as the most commonly used technique for grouping different objects. By clustering data, we can extract groups of similar objects from different collections. First, we defined Big Data and clustering to follow the rest of the paper. We presented the most popular techniques for clustering data, including partitioning, hierarchical clustering, density-based clustering, and network-based clustering. Big Data describes large amounts of data. High precision of big data can contribute to decision-making confidence, and better estimates can help increase e
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Lumactod, Flordeliza, and Lorenzo Capacio. "Effectiveness of Classroom Management Leadership Style and Teachers’ Performance." Psychology and Education: A Multidisciplinary Journal 35, no. 6 (2025): 667–75. https://doi.org/10.70838/pemj.350605.

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This study assessed the level of effectiveness of classroom management leadership style and teacher’s performance from 100 respondents of Malaybalay City Division, District IV, and V during the years 2022-2023. Since this study aims to determine the level of effectiveness of classroom management leadership style as perceived by the teachers in terms of class strategies, class activities, and STAR classroom, a descriptive-correlational design was used in this study. The teacher performance was found to have a substantial association with the success of the classroom management leadership style
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Dissertations / Theses on the topic "Top-k class association rules"

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Freitas, Mateus Ferreira e. "Projeto e avaliação de algoritmos paralelos para sistemas Multicore e Manycore aplicados no processamento de documentos." Universidade Federal de Goiás, 2017. http://repositorio.bc.ufg.br/tede/handle/tede/7829.

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Submitted by Luciana Ferreira (lucgeral@gmail.com) on 2017-10-02T15:28:01Z No. of bitstreams: 2 Dissertação - Mateus Ferreira e Freitas - 2017.pdf: 4269845 bytes, checksum: e84e69d8747a21125170793812384a98 (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5)<br>Approved for entry into archive by Luciana Ferreira (lucgeral@gmail.com) on 2017-10-02T15:30:07Z (GMT) No. of bitstreams: 2 Dissertação - Mateus Ferreira e Freitas - 2017.pdf: 4269845 bytes, checksum: e84e69d8747a21125170793812384a98 (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5)<br>
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Books on the topic "Top-k class association rules"

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Caroline, Shenaz Hossein, and Christabell P.J., eds. Community Economies in the Global South. Oxford University Press, 2022. http://dx.doi.org/10.1093/oso/9780198865629.001.0001.

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People everywhere engage in social and solidarity economics to help themselves, community, and society on their own terms. Through a specific form of mutual aid, we examine the people who conscientiously organize financial cooperatives known as rotating savings and credit associations (ROSCAs) to bring positive changes to their own lives as well as others. ROSCAs are an ancient practice which are well documented, especially among Global Majority people. This book spotlights people in Latin America, Africa, Southeast Asia, and Asia who organize and use ROSCAs, commoning and similar cooperative
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Newman, Abraham L., and Elliot Posner. Voluntary Disruptions. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198818380.001.0001.

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From home mortgages to iPhones, basic elements of our daily lives depend on international markets. The astonishing complexity of these exchanges may seem ungoverned. Yet the global economy remains deeply bound by rules. Far from the staid world of treaties and state-to-state diplomacy, governance increasingly relies on a different class of international market regulation—soft law—composed of voluntary standards, best practices, and recommended guidance created by a motley assortment of organizations. Voluntary Disruptions argues that international soft law is deeply political, shaping the winn
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Gelbart, Matthew. Musical Genre and Romantic Ideology. Oxford University PressNew York, 2022. http://dx.doi.org/10.1093/oso/9780190646929.001.0001.

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Abstract European Romanticism gave rise to a powerful discourse equating genres to constrictive rules and forms that great art should transcend; and yet without the categories and intertextual references we hold in our minds, “music” would be meaningless noise. This book teases out that paradox, charting the workings and legacies of Romantic artistic values such as originality and anti-commercialism in relation to musical genre. Genre’s persistent power was amplified by music’s inevitably practical social, spatial, and institutional frames. Furthermore, starting in the nineteenth century, all
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Ortega, Arnisson Andre. Neoliberalizing Spaces in the Philippines. Lexington Books, 2016. https://doi.org/10.5040/9781978725805.

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Amidst the recent global financial crisis and housing busts in various countries, the Philippines’ booming housing industry has been heralded as “Southeast Asia’s hottest real estate hub” and the saving grace of a supposedly resilient Philippine economy. This growth has been fueled by demand from balikbayan (returnee) Overseas Filipinos and has facilitated the rise of gated suburban communities in Manila’s sprawling peri-urban fringe. But as the “Filipino dreams” of successful balikbayans are built inside these new gated residential developments, the lives of marginalized populations living in
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Kennedy, Thomas C. Quakers. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780199683710.003.0004.

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Unitarianism and Presbyterian Dissent had a complex relationship in the nineteenth century. Neither English Unitarians nor their Presbyterian cousins grew much if at all in the nineteenth century, but elsewhere in the United Kingdom the picture was different. While Unitarians failed to prosper, Presbyterian Dissenting numbers held up in Wales and Ireland and increased in Scotland thanks to the Disruption of the Church of Scotland. Unitarians were never sure whether they would benefit from demarcating themselves from Presbyterians as a denomination. Though they formed the British and Foreign Un
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Book chapters on the topic "Top-k class association rules"

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Nguyen, Loan T. T., Hai T. Nguyen, Bay Vo, and Ngoc-Thanh Nguyen. "A Method for Query Top-K Rules from Class Association Rule Set." In Intelligent Information and Database Systems. Springer Berlin Heidelberg, 2016. http://dx.doi.org/10.1007/978-3-662-49381-6_62.

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Fournier-Viger, Philippe, Cheng-Wei Wu, and Vincent S. Tseng. "Mining Top-K Association Rules." In Advances in Artificial Intelligence. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-30353-1_6.

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Fournier-Viger, Philippe, and Vincent S. Tseng. "Mining Top-K Non-redundant Association Rules." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-34624-8_4.

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Nguyen, Linh T. T., Loan T. T. Nguyen, and Bay Vo. "An Improved Algorithm for Mining Top-k Association Rules." In Advanced Computational Methods for Knowledge Engineering. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-61911-8_11.

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Liu, Xiangyu, Xinzheng Niu, Jieliang Kuang, Shenghan Yang, and Pengpeng Liu. "Fast Mining of Top-k Frequent Balanced Association Rules." In Advances and Trends in Artificial Intelligence. Artificial Intelligence Practices. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-79457-6_1.

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Gireesha, O., and O. Obulesu. "TKAR: Efficient Mining of Top-k Association Rules on Real—Life Datasets." In Advances in Intelligent Systems and Computing. Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-3156-4_5.

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Wang, Weiqi, Yanbo J. Wang, Qin Xin, René Bañares-Alcántara, Frans Coenen, and Zhanfeng Cui. "A Comparative Study of Associative Classifiers in Mesenchymal Stem Cell Differentiation Analysis." In Data Mining. IGI Global, 2013. http://dx.doi.org/10.4018/978-1-4666-2455-9.ch049.

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Discovering how Mesenchymal Stem Cells (MSCs) can be differentiated is an important topic in stem cell therapy and tissue engineering. In a general context, such differentiation analysis can be modeled as a classification problem in data mining. Specifically, this is concerned with the single-label multi-class classification task. Previous studies on this topic suggests the Associative Classification (AC) rather than other alternative (Classification) techniques, and presented classification results based on the CMAR (Classification based on Multiple Association Rules) associative classifier.
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Prati, Ronaldo Cristiano. "QROC." In Post-Mining of Association Rules. IGI Global, 2009. http://dx.doi.org/10.4018/978-1-60566-404-0.ch008.

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Receiver Operating Characteristics (ROC) graph is a popular way of assessing the performance of classification rules. However, as such graphs are based on class conditional probabilities, they are inappropriate to evaluate the quality of association rules. This follows from the fact that there is no class in association rule mining, and the consequent part of two different association rules might not have any correlation at all. This chapter presents an extension of ROC graphs, named QROC (for Quality ROC), which can be used in association rule context. Furthermore, QROC can be used to help an
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Nandhini, M., S. N. Sivanandam, and S. Renugadevi. "Artificial Bee Colony-Based Associative Classifier for Healthcare Data Diagnosis." In Handbook of Research on Disease Prediction Through Data Analytics and Machine Learning. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-2742-9.ch012.

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Data mining is likely to explore hidden patterns from the huge quantity of data and provides a way of analyzing and categorizing the data. Associative classification (AC) is an integration of two data mining tasks, association rule mining, and classification which is used to classify the unknown data. Though association rule mining techniques are successfully utilized to construct classifiers, it lacks in generating a small set of significant class association rules (CARs) to build an accurate associative classifier. In this work, an attempt is made to generate significant CARs using Artificia
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Zhang, Huaifeng, Yanchang Zhao, Longbing Cao, Chengqi Zhang, and Hans Bohlscheid. "Rare Class Association Rule Mining with Multiple Imbalanced Attributes." In Rare Association Rule Mining and Knowledge Discovery. IGI Global, 2010. http://dx.doi.org/10.4018/978-1-60566-754-6.ch005.

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In this chapter, the authors propose a novel framework for rare class association rule mining. In each class association rule, the right-hand is a target class while the left-hand may contain one or more attributes. This algorithm is focused on the multiple imbalanced attributes on the left-hand. In the proposed framework, the rules with and without imbalanced attributes are processed in parallel. The rules without imbalanced attributes are mined through a standard algorithm while the rules with imbalanced attributes are mined based on newly defined measurements. Through simple transformation,
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Conference papers on the topic "Top-k class association rules"

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Min, Fan, and William Zhu. "Mining top-k granular association rules for recommendation." In 2013 Joint IFSA World Congress and NAFIPS Annual Meeting (IFSA/NAFIPS). IEEE, 2013. http://dx.doi.org/10.1109/ifsa-nafips.2013.6608601.

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Reinsmith, Alexander, and Bryan W. Schlake. "Standardization of High-Wide Load Measurement Using Laser-Based Technology." In 2015 Joint Rail Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/jrc2015-5682.

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Each year, thousands of open-top loads are shipped across North America over the Class I railroad network. Many of these loads are high-value, high-risk shipments, presenting considerable operational challenges for the carriers due to special handling requirements. Shipments that extend beyond a standard geometric envelope, denoted by various “plates” in the Association of American Railroads (AAR) Open Top Loading Rules (OTLR), are considered to be over dimensional, or High-Wide Loads (HWLs). Historically, railroad mechanical personnel have measured HWLs manually using a tape measure, plumb li
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You, Yuyang, Jianpei Zhang, Zhihong Yang, and Guocai Liu. "Notice of Retraction: Mining Top-k Fault Tolerant Association Rules by Redundant Pattern Disambiguation in Data Streams." In 2010 International Conference on Intelligent Computing and Cognitive Informatics (ICICCI 2010). IEEE, 2010. http://dx.doi.org/10.1109/icicci.2010.91.

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Schlake, Bryan W., Brian S. Daniel, and Ron Voorheis. "Laser-Based Measurement of Over Dimensional Freight Rail Shipments." In 2012 Joint Rail Conference. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/jrc2012-74065.

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In pursuit of improved safety, Norfolk Southern Corp. (NS) has partnered with Amberg Technologies to explore the potential benefits of a laser-based measurement system for measuring over dimensional freight rail shipments. Shipments that do not fall within a standard geometric envelope, denoted as Plate B in the Association of American Railroads (AAR) Open Top Loading Rules [1], are considered to be over dimensional, or High-Wide Loads (HWLs). Extending beyond the limits of the Plate B diagram, these loads are not permitted in unrestricted interchange service. Instead, they must be measured bo
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