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Relevant bibliographies by topics / Incremental Schema Discovery

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Academic literature on the topic 'Incremental Schema Discovery'

Author: Grafiati

Published: 25 May 2024

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Journal articles on the topic "Incremental Schema Discovery"

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Fotiadis, D. I., A. Likas, and K. Blekas. "A Sequential Method for Discovering Probabilistic Motifs in Proteins." Methods of Information in Medicine 43, no. 01 (2004): 9–12. http://dx.doi.org/10.1055/s-0038-1633414.

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Summary Objectives: This paper proposes a greedy algorithm for learning a mixture of motifs model through likelihood maximization, in order to discover common substrings, known as motifs, from a given collection of related biosequences. Methods: The approach sequentially adds a new motif component to a mixture model by performing a combined scheme of global and local search for appropriately initializing the component parameters. A hierarchical clustering scheme is also applied initially which leads to the identification of candidate motif models and speeds up the global searching procedure. R

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Carpenter, Chris. "Study Examines Incremental Method vs. Split Conditions in Reserves Booking." Journal of Petroleum Technology 73, no. 12 (2021): 35–36. http://dx.doi.org/10.2118/1221-0035-jpt.

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This article, written by JPT Technology Editor Chris Carpenter, contains highlights of paper SPE 206104, “Incremental Method vs. Split Conditions: Discussing the Similarities Between Reserves Evaluation and a Madoff Scheme,” by Dominique Salacz, SPE, and Farid Allam, SPE, ADNOC, and Imre Szilagyi, Eötvös Loránd University, et al., prepared for the 2021 SPE Annual Technical Conference and Exhibition, Dubai, 21–23 September. The paper has not been peer reviewed. After the oil-price crashes of 2014 and 2020, several merger and acquisition deals ended in litigation because operators canceled major

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Kluger, Avraham N., Limor Borut, Michal Lehmann, et al. "A New Measure of the Rogerian Schema of the Good Listener." Sustainability 14, no. 19 (2022): 12893. http://dx.doi.org/10.3390/su141912893.

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Sustainable social relationships can be produced by good listening. Good listening may be exhibited by people who endorse Carl Rogers’s schema of good listening; a set of beliefs about what constitutes high-quality listening. To measure it, in Study One, we constructed 46 items. In Study Two, we administered them to 476 participants and discovered three factors: belief that listening can help the speaker, trusting the ability of the speaker to benefit from listening, and endorsing behaviors constituting good listening. These results suggested a reduced 27-item scale. In Study Three, we transla

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Han, Zhiyan, and Jian Wang. "A Fault Diagnosis Method Based on Active Example Selection." Journal of Circuits, Systems and Computers 27, no. 01 (2017): 1850013. http://dx.doi.org/10.1142/s0218126618500135.

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The fault diagnosis in the real world is often complicated. It is due to the fact that not all relevant fault information is available directly. In many fault diagnosis situations, it is impossible or inconvenient to find all fault information before establishing a fault diagnosis model. To deal with this issue, a method named active example selection (AES) is proposed for the fault diagnosis. AES could actively discover unseen faults and choose useful samples to improve the fault detection accuracy. AES consists of three key components: (1) a fusion model of combining the advantage of the uns

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Venkata Sailaja, N., L. Padmasree, and N. Mangathayaru. "Incremental learning for text categorization using rough set boundary based optimized Support Vector Neural Network." Data Technologies and Applications 54, no. 5 (2020): 585–601. http://dx.doi.org/10.1108/dta-03-2020-0071.

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PurposeText mining has been used for various knowledge discovery based applications, and thus, a lot of research has been contributed towards it. Latest trending research in the text mining is adopting the incremental learning data, as it is economical while dealing with large volume of information.Design/methodology/approachThe primary intention of this research is to design and develop a technique for incremental text categorization using optimized Support Vector Neural Network (SVNN). The proposed technique involves four major steps, such as pre-processing, feature selection, classification

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Gutierrez, Dubert, Vinodh Kumar, Robert G. Moore, and Sudarshan A. Mehta. "Air Injection and Waterflood Performance Comparison of Two Adjacent Units in the Buffalo Field." SPE Reservoir Evaluation & Engineering 11, no. 05 (2008): 848–57. http://dx.doi.org/10.2118/104479-pa.

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Summary Buffalo field covers a large area on the southwestern flank of the Williston basin, in the northwest corner of South Dakota. In 1987, 8,000 acres of the field were divided into two units to initiate improved-oil-recovery (IOR) operations with two different methods: air injection and waterflooding. After collecting 19 years of production history, a technical and economic comparison has been made between the two projects to determine the relative success of both units. The technical performance was evaluated in terms of incremental oil recovery, ultimate recovery, and incremental recover

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Maw, Aye Aye, Maxim Tyan, Tuan Anh Nguyen, and Jae-Woo Lee. "iADA*-RL: Anytime Graph-Based Path Planning with Deep Reinforcement Learning for an Autonomous UAV." Applied Sciences 11, no. 9 (2021): 3948. http://dx.doi.org/10.3390/app11093948.

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Path planning algorithms are of paramount importance in guidance and collision systems to provide trustworthiness and safety for operations of autonomous unmanned aerial vehicles (UAV). Previous works showed different approaches mostly focusing on shortest path discovery without a sufficient consideration on local planning and collision avoidance. In this paper, we propose a hybrid path planning algorithm that uses an anytime graph-based path planning algorithm for global planning and deep reinforcement learning for local planning which applied for a real-time mission planning system of an aut

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Leake, Bernard Elgey. "Mechanism of emplacement and crystallisation history of the northern margin and centre of the Galway Granite, western Ireland." Transactions of the Royal Society of Edinburgh: Earth Sciences 97, no. 1 (2006): 1–23. http://dx.doi.org/10.1017/s0263593300001371.

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ABSTRACTThe main phase (∼400 Ma) emplacement of the central and northern part of the reversely zoned Galway Granite was incremental by progressive northward marginal dyke injection and stoping of the 470–467 Ma Connemara metagabbro-gneiss country rock. The space was provided by the synchronous ESE-opening, along the strike of the country rocks, of extensional fractures generated successively northward by a releasing bend in the sinistrally moving Skird Rocks Fault or an equivalent Galway Bay Fault. This fault is a prolongation of the Antrim–Galway (a splay off the Highland Boundary Fault) and

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Hagen, Christoph, Christian Weinert, Christoph Sendner, Alexandra Dmitrienko, and Thomas Schneider. "Contact Discovery in Mobile Messengers: Low-cost Attacks, Quantitative Analyses, and Efficient Mitigations." ACM Transactions on Privacy and Security, June 30, 2022. http://dx.doi.org/10.1145/3546191.

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Contact discovery allows users of mobile messengers to conveniently connect with people in their address book. In this work, we demonstrate that severe privacy issues exist in currently deployed contact discovery methods and propose suitable mitigations. Our study of three popular messengers (WhatsApp, Signal, and Telegram) shows that large-scale crawling attacks are (still) possible. Using an accurate database of mobile phone number prefixes and very few resources, we queried 10% of US mobile phone numbers for WhatsApp and 100% for Signal. For Telegram we find that its API exposes a wide rang

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Pratap, Aditya, Arpita Das, Shiv Kumar, and Sanjeev Gupta. "Current Perspectives on Introgression Breeding in Food Legumes." Frontiers in Plant Science 11 (January 21, 2021). http://dx.doi.org/10.3389/fpls.2020.589189.

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Food legumes are important for defeating malnutrition and sustaining agri-food systems globally. Breeding efforts in legume crops have been largely confined to the exploitation of genetic variation available within the primary genepool, resulting in narrow genetic base. Introgression as a breeding scheme has been remarkably successful for an array of inheritance and molecular studies in food legumes. Crop wild relatives (CWRs), landraces, and exotic germplasm offer great potential for introgression of novel variation not only to widen the genetic base of the elite genepool for continuous incre

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Dissertations / Theses on the topic "Incremental Schema Discovery"

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Bouhamoum, Redouane. "Découverte automatique de schéma pour les données irrégulières et massives." Electronic Thesis or Diss., université Paris-Saclay, 2021. http://www.theses.fr/2021UPASG081.

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Le web des données est un espace dans lequel de nombreuses sources sont publiées et interconnectées, et qui repose sur les technologies du web sémantique. Cet espace offre des possibilités d'utilisation sans précédent, cependant, l'exploitation pertinente des sources qu'il contient est rendue difficile par l'absence de schéma décrivant leur contenu. Des approches de découverte automatique de schéma ont été proposées, mais si elles produisent des schémas de bonne qualité, leur complexité limite leur utilisation pour des sources de données massives. Dans notre travail, nous nous intéressons au p

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Book chapters on the topic "Incremental Schema Discovery"

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Fan, Hao. "Using Schema Transformation Pathways for Incremental View Maintenance." In Data Warehousing and Knowledge Discovery. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11546849_13.

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Zhou, Aoying, Jinwen, Zhou Shuigeng, and Zenping Tian. "Incremental Mining of Schema for Semistructured Data." In Methodologies for Knowledge Discovery and Data Mining. Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/3-540-48912-6_22.

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Bouhamoum, Redouane, Zoubida Kedad, and Stéphane Lopes. "Incremental Schema Discovery at Scale for RDF Data." In The Semantic Web. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-77385-4_12.

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Conference papers on the topic "Incremental Schema Discovery"

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Chih-Ho Chen, Yung Ting, and Jia-Sheng Heh. "Low Overhead Incremental Checkpointing and Rollback Recovery Scheme on Windows Operating System." In 2010 3rd International Conference on Knowledge Discovery and Data Mining (WKDD 2010). IEEE, 2010. http://dx.doi.org/10.1109/wkdd.2010.135.

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Azzarone, Eleonora, Roberto Rossi, Giovanni Cirillo, and Giacomo Micheletti. "An Enhanced Integrated Asset Model for Offshore Field Development Strategy." In ADIPEC. SPE, 2022. http://dx.doi.org/10.2118/211476-ms.

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Abstract The derivation of an optimised field development strategy is one of the most important tasks in the oil and gas industry. Modern workflows apply complex integrated asset models (IAM) where reservoir and production network simulators are coupled to provide a single model of the entire asset. In this paper we present the solutions adopted to build an IAM for an asset in the current producing scenario, but also modelling future incremental surface facilities’ upgrades, tasks found to be beyond the capabilities of current commercial IAM products. The asset consists of a number of oil and

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