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Relevant bibliographies by topics / Incremental updating

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Academic literature on the topic 'Incremental updating'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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Journal articles on the topic "Incremental updating"

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Xing, Hanfa, Yuan Meng, Jun Chen, Jie Song, and Kaixuan Fan. "Employing Incremental Outlines for OpenStreetMap Data Updating." ISPRS International Journal of Geo-Information 7, no. 7 (2018): 277. http://dx.doi.org/10.3390/ijgi7070277.

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The updating of changing information plays a significant role in ensuring the quality of OpenStreetMap, which is usually completed by mapping the whole changing objects with a high degree of uncertainty. The incremental object-based approach provides opportunities to reduce the unreliability of data, while challenges of data inaccuracy and redundancy remain. This paper provides an incremental outline-based approach for OpenStreetMap data updating to solve this issue. First, incremental outlines are delineated from the changed objects and distinguished through a spatial classification. Then, at

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LIN, YAN, and MAREK J. DRUZDZEL. "RELEVANCE-BASED INCREMENTAL BELIEF UPDATING IN BAYESIAN NETWORKS." International Journal of Pattern Recognition and Artificial Intelligence 13, no. 02 (1999): 285–95. http://dx.doi.org/10.1142/s0218001499000161.

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Relevance reasoning in Bayesian networks can be used to improve efficiency of belief updating algorithms by identifying and pruning those parts of a network that are irrelevant for computation. Relevance reasoning is based on the graphical property of d-separation and other simple and efficient techniques, the computational complexity of which is usually negligible when compared to the complexity of belief updating in general. This paper describes a belief updating technique based on relevance reasoning that is applicable in practical systems in which observations and model revisions are inter

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Polavarapu, Saroja, Shuzhan Ren, Adam M. Clayton, David Sankey, and Yves Rochon. "On the Relationship between Incremental Analysis Updating and Incremental Digital Filtering." Monthly Weather Review 132, no. 10 (2004): 2495–502. http://dx.doi.org/10.1175/1520-0493(2004)132<2495:otrbia>2.0.co;2.

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Li, Jian Hong. "Association Rule-Based Novel Incremental Updating Algorithm." Advanced Materials Research 317-319 (August 2011): 1868–71. http://dx.doi.org/10.4028/www.scientific.net/amr.317-319.1868.

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This paper focuses on an important research topic in data mining (DM) which heavily replies on the association rules. In order to deal with the maintenance issues within the background of the static transaction database, there are some minor changes to minimum support and confidence coefficient. A novel algorithm based on incremental updated is proposed, which is termed as NIUA (Novel Incremental Updating Algorithm). IUA uses association rules to mining the database, aiming at finding the potential information or finding the reasons from massive data.

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Zhang, Jianchen, and Heying Li. "Incremental Updating Information Extraction and Topology Conflict Detection Method for Updating Road Network." Abstracts of the ICA 1 (July 15, 2019): 1. http://dx.doi.org/10.5194/ica-abs-1-429-2019.

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<p><strong>Abstract.</strong> In recent years, Located Based Service (LBS) has become one of the hotspots on the application of geographic information to the government and the public. Providing a good performance map to the users is an important part of the location service system. Compared with the traditional web spatial information service system, service system of map information also put forward higher requirements of real time and veracity. The problem of updating electronic map in real-time cannot be effectively solved, hindering the updating of multi-scale electronic

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Li, Lian Ying, Zhang Huang, and Xiao Lan Xu. "Navigational Data Change Detection Based on Rasterizing Features & Attributes." Applied Mechanics and Materials 256-259 (December 2012): 2279–84. http://dx.doi.org/10.4028/www.scientific.net/amm.256-259.2279.

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A necessary updating degree is vital for the digital map data in a vehicle navigation system. Only when the digital map data are well updated, can the quality of the navigation be assured. Today the companies devoting to the production of digital map data for vehicle navigation have to cost much labor, material and capital to collect and update data in order to maintain a necessary updating degree. Throughout the history of electronic navigation data updating, they have made considerable progress both on the methods and processes of data production, and the way of map management. Updating from

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Luo, Chuan, Tianrui Li, Hongmei Chen, Hamido Fujita, and Zhang Yi. "Efficient updating of probabilistic approximations with incremental objects." Knowledge-Based Systems 109 (October 2016): 71–83. http://dx.doi.org/10.1016/j.knosys.2016.06.025.

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Zhou, Xiao-guang, Jun Chen, Jie Jiang, Jian-jun Zhu, and Zhi-lin Li. "Event-based incremental updating of spatio-temporal database." Journal of Central South University of Technology 11, no. 2 (2004): 192–98. http://dx.doi.org/10.1007/s11771-004-0040-3.

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Xu, Baowen, Tong Yi, Fangjun Wu, and Zhenqiang Chen. "An incremental updating algorithm for mining association rules." Journal of Electronics (China) 19, no. 4 (2002): 403–7. http://dx.doi.org/10.1007/s11767-002-0073-4.

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Bronsvoort, W. F., and H. Garnaat. "Incremental display of CSG models using local updating." Computer-Aided Design 21, no. 4 (1989): 221–29. http://dx.doi.org/10.1016/0010-4485(89)90047-x.

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Dissertations / Theses on the topic "Incremental updating"

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Kane, Bintou. "Consistently updating XML documents using incremental checks with Xqueries." Link to electronic thesis, 2003. http://www.wpi.edu/Pubs/ETD/Available/etd-0505103-101820.

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Shaabani, Nuhad [Verfasser], and Christoph [Akademischer Betreuer] Meinel. "On discovering and incrementally updating inclusion dependencies / Nuhad Shaabani ; Betreuer: Christoph Meinel." Potsdam : Universität Potsdam, 2020. http://d-nb.info/1219662577/34.

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Aijazi, Ahmad Kamal. "3D urban cartography incorporating recognition and temporal integration." Thesis, Clermont-Ferrand 2, 2014. http://www.theses.fr/2014CLF22528/document.

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Au cours des dernières années, la cartographie urbaine 3D a suscité un intérêt croissant pour répondre à la demande d’applications d’analyse des scènes urbaines tournées vers un large public. Conjointement les techniques d’acquisition de données 3D progressaient. Les travaux concernant la modélisation et la visualisation 3D des villes se sont donc intensifiés. Des applications fournissent au plus grand nombre des visualisations efficaces de modèles urbains à grande échelle sur la base des imageries aérienne et satellitaire. Naturellement, la demande s’est portée vers des représentations avec u

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Chang, Cheng-Hsien, and 張正憲. "Incremental Updating of an Geographic Database Using Mobile Devices." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/62655982148554310328.

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碩士<br>國立成功大學<br>測量及空間資訊學系碩博士班<br>94<br>At present the storage and presentation of geographic data is based on digital maps. As the change of topographical feature and terrain relief, the update of digital maps has become an important issue. Traditionally the update of the geographic data was achieved by making map files overwritten, because the maps data was limited by the division of map sheet. This process makes the update of the geographic data becoming less efficient. In recent years, one of the most important developments of digital spatial data processing is the application of object-ori

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Cho, Chung-Wen, and 左聰文. "An Incremental Updating Technique for Discovering Sequential Patterns in Large Databases." Thesis, 2000. http://ndltd.ncl.edu.tw/handle/55825766140106293503.

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碩士<br>輔仁大學<br>資訊工程學系<br>88<br>Mining sequential patterns is to discover sequential purchasing behaviors of most customers from a large amount of customer transactions. The strategy of mining sequential patterns focuses on discovering frequent sequences. A frequent sequence is a sequence of the itemsets which purchased by a sufficient number of customers. The previous approaches for mining sequential patterns need to repeatedly scan the large database, and take a large amount of computation time to find frequent sequences, which are very time consuming. Therefore, it is important to

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Lin, Pai-Yu, and 林柏佑. "Updating Frequent Itemsets Without Rescanning the Original Database in the Incremental Environment." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/25629406614318367928.

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碩士<br>國立臺灣科技大學<br>資訊工程系<br>97<br>In today, Information is important and valuable, and it helps people makes the decision, such as market strategy. People depend on the useful information more and more. For this reason, people invent many methods that extract the useful formation from the huge data. So, the technology of data mining is growing at rapid pace recently. Many helpful algorithms and applications are proposed in the recent years. Moreover, Researchers still try to develop efficient algorithms in this moment. Frequent pattern mining plays an important role in the data mining community

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Book chapters on the topic "Incremental updating"

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Shao, J. "Incremental updating of classification rules." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/bfb0054541.

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Bigdeli, Elnaz, Mahdi Mohammadi, Bijan Raahemi, and Stan Matwin. "Incremental Cluster Updating Using Gaussian Mixture Model." In Advances in Artificial Intelligence. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-18356-5_23.

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Saptawijaya, Ari, and Luís Moniz Pereira. "Program Updating by Incremental and Answer Subsumption Tabling." In Logic Programming and Nonmonotonic Reasoning. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-40564-8_47.

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Jiang, He, and Wenqing Lei. "Incremental Updating Algorithm of Weighted Negative Association Rules." In Communications in Computer and Information Science. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-53703-5_23.

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Liu, Yangguang, Qi Chen, Yongchuan Tang, and Qinming He. "An Incremental Updating Method for Support Vector Machines." In Advanced Web Technologies and Applications. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-24655-8_45.

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Steinder, M., and A. S. Sethi. "Probabilistic Event-Driven Fault Diagnosis through Incremental Hypothesis Updating." In Integrated Network Management VIII. Springer US, 2003. http://dx.doi.org/10.1007/978-0-387-35674-7_61.

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Damiand, Guillaume, Sylvain Brandel, and Donatello Conte. "Incremental Updating of 3D Topological Maps to Describe Videos." In Lecture Notes in Computer Science. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-26145-4_22.

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Cheng, Hao, Yu-Hai Zhao, Ying Yin, and Li-Jun Zhang. "An Incremental Updating Based Fast Phenotype Structure Learning Algorithm." In Intelligent Computing in Bioinformatics. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-09330-7_12.

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Yen, Show-Jane, and Yue-Shi Lee. "An Incremental Updating Technique for Discovering Frequent Traversal Patterns." In Advanced Web Technologies and Applications. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-24655-8_52.

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Zhang, Yingying, Tianrui Li, Chuan Luo, and Hongmei Chen. "Incremental Updating Rough Approximations in Interval-valued Information Systems." In Rough Sets and Knowledge Technology. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-25754-9_22.

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Conference papers on the topic "Incremental updating"

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Ni, Guiqiang, Yingzi Yan, Jinsong Jiang, Jianmin Mei, Zhilong Chen, and Junxian Long. "Research on Incremental Updating." In 2016 International Conference on Communications, Information Management and Network Security. Atlantis Press, 2016. http://dx.doi.org/10.2991/cimns-16.2016.46.

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Shen, Chen, and Ying Song. "Incremental updating geospatial data by granular computing." In The Sixth International Symposium on Digital Earth, edited by Huadong Guo and Changlin Wang. SPIE, 2009. http://dx.doi.org/10.1117/12.872962.

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Shan, Siqing, Xiaojing Wang, and Miao Sui. "Mining Association Rules: A Continuous Incremental Updating Technique." In 2010 International Conference on Web Information Systems and Mining (WISM). IEEE, 2010. http://dx.doi.org/10.1109/wism.2010.39.

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Canliang, Jian, and Huang Menglong. "Research on geographic information database incremental updating method." In 2010 International Conference on Audio, Language and Image Processing (ICALIP). IEEE, 2010. http://dx.doi.org/10.1109/icalip.2010.5685151.

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An, Hongmei, Ping Chen, and Lijing Huang. "Study of Incremental Updating Algorithm for Association Rules." In 2nd International Conference on Computer Application and System Modeling. Atlantis Press, 2012. http://dx.doi.org/10.2991/iccasm.2012.292.

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Kilpelainen, Tiina. "Updating multiple representation geo-databases by incremental generalization." In Spatial Information from Digital Photogrammetry and Computer Vision: ISPRS Commission III Symposium, edited by Heinrich Ebner, Christian Heipke, and Konrad Eder. SPIE, 1994. http://dx.doi.org/10.1117/12.182833.

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Wenjuan Dong, He Jiang, Lei Chen, and Guoling Liu. "Incremental updating algorithm for infrequent itemsets on weighted condition." In 2010 International Conference on Computer Design and Applications (ICCDA 2010). IEEE, 2010. http://dx.doi.org/10.1109/iccda.2010.5541039.

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Zhu, Ling, Xuanye Wei, and Ruoming shi. "Fragment Polygon Removal in Incremental Land Cover Map Updating." In IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2019. http://dx.doi.org/10.1109/igarss.2019.8898331.

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He, Hai-Tao, and Shi-Ling Zhang. "A New Method for Incremental Updating Frequent Patterns Mining." In Second International Conference on Innovative Computing, Informatio and Control (ICICIC 2007). IEEE, 2007. http://dx.doi.org/10.1109/icicic.2007.51.

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Yubo, Jia, Duan Yuntao, and Wang Yongli. "An Incremental Updating Algorithm for Online Mining Association Rules." In 2009 International Conference on Web Information Systems and Mining (WISM). IEEE, 2009. http://dx.doi.org/10.1109/wism.2009.37.

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Reports on the topic "Incremental updating"

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Mallory, T., and A. Kullberg. Incremental updating of the Internet checksum. RFC Editor, 1990. http://dx.doi.org/10.17487/rfc1141.

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