Relevant bibliographies by topics / Document databases

Contents

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

Academic literature on the topic 'Document databases'

Author: Grafiati
Published: 8 September 2021
Last updated: 25 April 2022

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Journal articles on the topic "Document databases"

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Shichkina, Yulia, and Van Muon Ha. "Method for Creating Collections with Embedded Documents for Document-oriented Databases Taking into Account Executable Queries." SPIIRAS Proceedings 19, no. 4 (2020): 829–54. http://dx.doi.org/10.15622/sp.2020.19.4.5.

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In the recent decades, NoSQL databases have become more popular day by day. And increasingly, developers and database administrators, for whatever reason, have to solve the problems of database migration from a relational model in the model NoSQL databases like the document-oriented database MongoDB database. This article discusses the approach to this migration data based on set theory. A new formal method of determining the optimal runtime searches aggregate collections with the attached documents NoSQL databases such as the key document. The attributes of the database objects are included in optimizing the number of collections and their structures in search queries. The initial data are object properties (attributes, relationships between attributes) on which information is stored in the database, and query the properties that are most often performed, or the speed of which should be maximal. This article discusses the basic types of connections (1-1, 1-M, M-M), typical of the relational model. The proposed method is the following step of the method of creating a collection without embedded documents. The article also provides a method for determining what methods should be used in the reasonable cases to make work with databases more effectively. At the end, this article shows the results of testing of the proposed method on databases with different initial schemes. Experimental results show that the proposed method helps reduce the execution time of queries can also significantly as well as reduce the amount of memory required to store the data in a new database.
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Shichkina, Yulia, and Muon Ha. "Creating Collections with Embedded Documents for Document Databases Taking into Account the Queries." Computation 8, no. 2 (2020): 45. http://dx.doi.org/10.3390/computation8020045.

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In this article, we describe a new formalized method for constructing the NoSQL document database of MongoDB, taking into account the structure of queries planned for execution to the database. The method is based on set theory. The initial data are the properties of objects, information about which is stored in the database, and the set of queries that are most often executed or whose execution speed should be maximum. In order to determine the need to create embedded documents, our method uses the type of relationship between tables in a relational database. Our studies have shown that this method is in addition to the method of creating collections without embedded documents. In the article, we also describe a methodology for determining in which cases which methods should be used to make working with databases more efficient. It should be noted that this approach can be used for translating data from MySQL to MongoDB and for the consolidation of these databases.
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Ait El Mouden, Zakariyaa, and Abdeslam Jakimi. "A New Algorithm for Storing and Migrating Data Modelled by Graphs." International Journal of Online and Biomedical Engineering (iJOE) 16, no. 11 (2020): 137. http://dx.doi.org/10.3991/ijoe.v16i11.15545.

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<span>NoSQL databases have moved from theoretical solutions to exceed relational databases limits to a practical and indisputable application for storing and manipulation big data. In term of variety, NoSQL databases store heterogeneous data without being obliged to respect a predefined schema such as the case of relational and object-relational databases. NoSQL solutions surpass the traditional databases in storage capacity; we consider MongoDB for example, which is a document-oriented database capable of storing unlimited number of documents with a maximal size of 32TB depending on the machine that runs the database and also the operating system. Also, in term of velocity, many researches compared the execution time of different transactions and proved that NoSQL databases are the perfect solution for real-time applications. This paper presents an algorithm to store data modeled by graphs as NoSQL documents, the purpose of this study is to exploit the high amount of data stored in SQL databases and to make such data usable by recent clustering algorithms and other data science tools. This study links relational data to document datastores by defining an effective algorithm for reading relational data, modelling those data as graphs and storing those data as NoSQL documents.</span>
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Falk, Howard. "Building and using document databases." Electronic Library 16, no. 1 (1998): 55–59. http://dx.doi.org/10.1108/eb045616.

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Bunin, M. S., I. A. Kolenchenko, and L. N. Pirumova. "Digital agriculture informational resources in local and international databases." Dokuchaev Soil Bulletin, no. 108 (October 19, 2021): 157–74. http://dx.doi.org/10.19047/0136-1694-2021-108-157-174.

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The article reviews informational resources on precision and digital agriculture in international cross-disciplinal and sectoral international and local databases. The databases Web of Science, Scopus, AGRIS (by FAO UN) and Engineering infrastructure of Agriculture, Rosinformagrotech, AGROS (by Central Scientific Agricultural Library) with the retrieval requests “Digital agriculture”, “Precision Agriculture” were analyzed. The authors estimated the dynamics of document flows to the AGROS database and confirmed strong growth of volume of local publications on precision agriculture to the level demonstrating technology adoption of precision agriculture. Meanwhile the level of document flow on digital agriculture is at the starting level. Analysis of most frequent publications on the topic showed that there’s no local specialized journals on precision agriculture, most frequently publications appeared in local journals such as “Machinery and equipment for rural areas”, “Soil science and agrochemistry”, “Agricultural machinery and technology”. Predominantly materials were published in specialized foreign journals “Computers and electronics in agriculture” and “Precision agriculture”. Most of the documents were obtained from WOS and Scopus databases, but a lot of them are irrelevant. While searching for foreign documents it makes sense to use all the databases available, but most of the full-size texts in open access are available in the AGRIS database. In the same way AGROS database provide a wide range of full-size texts in the Russian language. Both AGROS and AGRIS databases showed high efficiency of search with most relevant documents in search results since both databases use thesaurus as a linguistic tool.
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Soni, Pradeep, and Narendra Singh Yadav. "Quantitative Analysis of Document Stored Databases." International Journal of Computer Applications 118, no. 20 (2015): 37–41. http://dx.doi.org/10.5120/20865-3587.

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Mokropolova, Yuliya E., and Ekaterina M. Smirnova. "DOCUMENT DATABASES ON CULTURE AND ART." Vestnik Tomskogo gosudarstvennogo universiteta. Kul'turologiya i iskusstvovedenie, no. 19(3) (September 1, 2015): 120–27. http://dx.doi.org/10.17223/22220836/19/16.

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Kaszkiel, Marcin, Justin Zobel, and Ron Sacks-Davis. "Efficient passage ranking for document databases." ACM Transactions on Information Systems 17, no. 4 (1999): 406–39. http://dx.doi.org/10.1145/326440.326445.

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Yje Lu and Chew Lim Tan. "Information retrieval in document image databases." IEEE Transactions on Knowledge and Data Engineering 16, no. 11 (2004): 1398–410. http://dx.doi.org/10.1109/tkde.2004.76.

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Moffat, A., J. Zobel, and N. Sharman. "Text compression for dynamic document databases." IEEE Transactions on Knowledge and Data Engineering 9, no. 2 (1997): 302–13. http://dx.doi.org/10.1109/69.591454.

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Dissertations / Theses on the topic "Document databases"

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Lau, Ho Lam. "The development of the nested relational sequence model to support XML databases /." View Abstract or Full-Text, 2002. http://library.ust.hk/cgi/db/thesis.pl?COMP%202002%20LAU.

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Thesis (M. Phil.)--Hong Kong University of Science and Technology, 2002.<br>Includes bibliographical references (leaves 87-96). Also available in electronic version. Access restricted to campus users.
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Chen, Hsinchun, and K. J. Lynch. "Automatic Construction of Networks of Concepts Characterizing Document Databases." IEEE, 1992. http://hdl.handle.net/10150/105175.

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Artificial Intelligence Lab, Department of MIS, University of Arizona<br>The results of a study that involved the creation of knowledge bases of concepts from large, operational textual databases are reported. Two East-bloc computing knowledge bases, both based on a semantic network structure, were created automatically using two statistical algorithms. With the help of four East-bloc computing experts, we evaluated the two knowledge bases in detail in a concept-association experiment based on recall and recognition tests. In the experiment, one of the knowledge bases that exhibited the asymmetric link property out-performed all four experts in recalling relevant concepts in East-bloc computing. The knowledge base, which contained about 20,O00 concepts (nodes) and 280,O00 weighted relationships (links), was incorporated as a thesaurus-like component into an intelligent retrieval system. The system allowed users to perform semantics-based information management and information retrieval via interactive, conceptual relevance feedback.
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Lam, Franky Shung Lai Chemical Sciences &amp Engineering Faculty of Engineering UNSW. "Optimization techniques for XML databases." Awarded by:University of New South Wales. Chemical Sciences & Engineering, 2007. http://handle.unsw.edu.au/1959.4/40702.

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In this thesis, we address several fundamental concerns of maintaining and querying huge ordered label trees. We focus on practical implementation issues of storing, updating and query optimization of XML database management system. Specifically, we address the XML order maintenance problem, efficient evaluation of structural join, intrinsic skew handling of join, succinct storage of XML data and update synchronization of mobile XML data.
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Zhao, Zunchen. "SCHEMA PROFILING FOR DOCUMENT DATABASES: SYSTEM DEVELOPMENT AND CASE STUDIES." Miami University / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=miami156417281961505.

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Jiang, Haifeng. "Efficient structural query processing in XML databases /." View abstract or full-text, 2004. http://library.ust.hk/cgi/db/thesis.pl?COMP%202004%20JIANG.

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Thesis (Ph. D.)--Hong Kong University of Science and Technology, 2004.<br>Includes bibliographical references (leaves 115-125). Also available in electronic version. Access restricted to campus users.
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Bousnina, Fatma Ezzahra. "Modeling and Querying Evidential Databases." Thesis, Chasseneuil-du-Poitou, Ecole nationale supérieure de mécanique et d'aérotechnique, 2019. http://www.theses.fr/2019ESMA0007/document.

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La théorie des fonctions des croyances offre des outils puissants pour modéliser et traiter les informations imparfaites. En effet, cette théorie peut représenter l'incertitude,l'imprécision et l'ignorance. Dans ce contexte, les données sont stockées dans des bases de données spécifiques qu'on appelle les bases de données crédibilistes. Une base de donnée crédibiliste a deux niveaux d'incertitudes: (i) l'incertitude au niveau des attributs qui se manifeste à travers des degrés de véracité sur les hypothèses des attributs; (ii) l'incertitude au niveau des tuples représentée par des intervalles de confiance sur l'existence des tuples au sein de la table en question. D'autre part, la base de donnée crédibiliste peut être modélisée sous deux formes: (i) la forme compacte caractérisée par un ensemble d'attributs et un ensemble de tuples; (ii) la forme des mondes possibles représentée par un ensemble de base de données candidates où chaque base candidate est une représentation possible de la base de donnée compacte. Interroger la représentation des mondes possibles est une étape fondamentale pour valider les méthodes d'interrogation sur la base compacte crédibiliste. En effet, un modèle de base de donnée est dit système fort si le résultat de l'interrogation de sa représentation compacte est équivalent au résultat de l'interrogation de sa représentation des mondes possibles.Cette thèse est une étude sur les fondements des bases de données crédibilistes. Les contributions sont résumées comme suit:(i) La modélisation et l'interrogation de la base crédibiliste (EDB): Nous mettons en pratique le modèle compacte de la base de données (EDB) en proposant une implémentation objet-relationnelle, ce qui permet d'introduire l'interrogation de ce modèle avec les opérateurs relationnels. D'autres part, nous présentons le formalisme, les algorithmes et les expérimentations d'autres types de requêtes :les top-k évidentiel et le skyline évidentiel que nous appliquons sur des données réelles extraites de la plateforme Tripadvisor.(ii) La modélisation de la base de données sous sa forme des mondes possibles: Nous modélisons la forme de mondes possibles de la base de données (EDB) en traitant les deux niveaux d'incertitudes (niveau attributs et niveau tuples).(iii) La modélisation et l'interrogation de la base de données crédibiliste (ECD): Après avoir prouvé que le modèle des bases de données (ED B) n'est pas un système de représentation fort, nous développons le modèle de la base de données crédibiliste conditionnelle nommée (ECD). Nous présentons le formalisme de l’interrogation sur les deux formes (compacte et mondes possibles) de la base de données (ECD). Finalement, nous discutons les résultats de ces méthodes d'interrogation et les spécificités du modèle (ECD)<br>The theory of belief functions (a.k.a, the Evidence Theory) offers powerful tools to mode! and handle imperfect pieces of information. Thus, it provides an adequate framework able to represent conjointly uncertainty, imprecision and ignorance. In this context, data are stored in a specific database model called evidential databases. An evidential database includes two levels of uncertainty: (i) the attribute level uncertainty expressed via some degrees of truthfulness about the hypotheses in attributes; (ii) the tuple level uncertainty expressed through an interval of confidence about the existenceof the tuple in the table. An evidential database itself can be modeled in two forms:(i) the compact form represented as a set of attributes and a set of tuples; (ii) the possible worlds' form represented as a set of candidate databases where each candidate is a possible representation of the imperfect compact database. Querying the possible worlds' form is a fundamental step in order to check the querying methods over the compact one. In fact, a model is said to be a strong representation system when results of querying its compact form are equivalent to results of querying its non compact form.This thesis focuses on foundations of evidential databases in both modeling and querying. The main contributions are summarized as follows:(i) Modeling and querying the compact evidential database (EDB): We implement the compact evidential database (EDB) using the object-relational design which allows to introduce the querying of the database model under relational operators. We also propose the formalism, the algorithms and the experiments of other typesof queries: the evidential top-k and the evidential skyline that we apply over a real dataset extracted from TripAdvisor.(ii) Modeling the possible worlds' form of (EDB): We model the possible worlds' form of the evidential database (EDB) by treating both levels of uncertainty (the tuple leve! and the attribute level).(iii) Modeling and querying the evidential conditional database (ECD): After provingt hat the evidential database (EDB) is not a strong representation system, we develop a new evidential conditional database model named (ECD). Thus, we present the formalism of querying the compact and the possible worlds' forms of the (ECD) to evaluate the querying methods under relational operators. Finally, we discuss the results of these querying methods and the specificities of the (ECD)model
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Pradeep, Kris. "XML as a data exchange medium for DoD legacy databases." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2002. http://library.nps.navy.mil/uhtbin/hyperion-image/02Jun%5FPradeep.pdf.

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Reck, Ryan. "Suffix Trees for Document Retrieval." DigitalCommons@CalPoly, 2012. https://digitalcommons.calpoly.edu/theses/773.

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This thesis presents a look at the suitability of Suffix Trees for full text indexing and retrieval. Typically suffix trees are built on a character level, where the tree records which characters follow each other character. By building suffix trees for documents based on words instead of characters, the resulting tree effectively indexes every word or sequence of words that occur in any of the documents. Ukkonnen's algorithm is adapted to build word-level suffix trees. But the primary focus is on developing Algorithms for searching the suffix tree for exact and approximate, or fuzzy, matches to arbitrary query strings. A proof-of-concept implementation is built and compared to a Lucene index for retrieval over a subset of the Reuters RCV1 data set.
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Shamsedin, Tekieh Razieh Sadat Information Systems Technology &amp Management Australian School of Business UNSW. "An XML-based framework for electronic business document integration with relational databases." Publisher:University of New South Wales. Information Systems, Technology & Management, 2009. http://handle.unsw.edu.au/1959.4/43695.

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Small and medium enterprises (SMEs) are becoming increasingly engaged in B2B interactions. The ubiquitousness of the Internet and the quasi-reliance on electronic document exchanges with larger trading partners have fostered this move. The main technical challenge that this brings to SMEs is that of business document integration: they need to exchange business documents with heterogeneous document formats and also integrate these documents with internal information systems. Often they can not afford using expensive, customized and proprietary solutions for document exchange and storage. Rather they need cost-effective approaches designed based on open standards and backed with easy-to-use information systems. In this dissertation, we investigate the problem of business document integration for SMEs following a design science methodology. We propose a framework and conceptual architecture for a business document integration system (BDIS). By studying existing business document formats, we recommend using the GS1 XML standard format as the intermediate format for business documents in BDIS. The GS1 standards are widely used in supply chains and logistics globally. We present an architecture for BDIS consisting of two layers: one for the design of internal information system based on relational databases, capable of storing XML business documents, and the other enabling the exchange of heterogeneous business documents at runtime. For the design layer, we leverage existing XML schema conversion approaches, and extend them, to propose a customized and novel approach for converting GS1 XML document schemas into relational schemas. For the runtime layer, we propose wrappers as architectural components for the conversion of various electronic documents formats into the GS1 XML format. We demonstrate our approach through a case study involving a GS1 XML business document. We have implemented a prototype BDIS. We have evaluated and compared it with existing research and commercial tools for XML to relational schema conversion. The results show that it generates operational and simpler relational schemas for GS1 XML documents. In conclusion, the proposed framework enables SMEs to engage effectively in electronic business.
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Josefsson, André. "Comparing the performance of relational and document databases for hierarchical geospatial data." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-231884.

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The aim of this degree project is to investigate alternatives to the relational database paradigm when storing hierarchical geospatial data. The document paradigm is found suitable and is therefore further examined. A benchmark suite is developed in order to test the relative performance of the paradigms for the relevant type of data. MongoDB and Microsoft SQL Server are chosen to represent the two paradigms in the benchmark. The results indicate that the document paradigm has potential when working with hierarchical structures. When adding geospatial elements to the data, the results are inconclusive.<br>Det här examensarbetet ämnar undersöka alternativ till den relationella databasparadigmen för lagring av hierarkisk geospatial data. Dokumentparadigmen identiferas som särskilt lämplig och undersöks därför vidare. En benchmark-svit utvecklas för att undersöka de två paradigmens relativa prestanda vid lagring av den undersökta typen av data. MongoDB och Microsoft SQL Server väljs som representanter för de två paradigmen i benchmark-sviten. Resultaten indikerar att dokumentparadigmen har god potential för hierarkisk data. Inga tydliga slutsatser kan dock dras gällande den geospatiala aspekten.
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Books on the topic "Document databases"

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James, Geoffrey. Document databases. Van Nostrand Reinhold, 1985.

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Document databases. Van Nostrand Reinhold Co., 1985.

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Salminen, Airi. A model for document databases. Jyväskylan yliopisto, 1989.

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Designing XML databases. Prentice Hall PTR, 2002.

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Spring, Michael B. A model for distributed document databases. School of Library and Information Science, University of Pittsburgh, 1988.

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Powell, Gavin. Beginning XML Databases. John Wiley & Sons, Ltd., 2006.

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Powell, Gavin. Beginning XML databases. Wiley Pub., 2007.

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Hammerschmidt, Beda Christoph. KeyX: Selective key-oriented indexing in native XML-databases. Aka, 2006.

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Li, Yan, ed. Mo hu xin xi XML yu shu ju ku jian mo ji shu yan jiu. Ke xue chu ban she, 2011.

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Li, Yan, ed. Mo hu xin xi XML yu shu ju ku jian mo ji shu yan jiu. Ke xue chu ban she, 2011.

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Book chapters on the topic "Document databases"

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Tompa, Frank. "Document Databases." In Encyclopedia of Database Systems. Springer New York, 2018. http://dx.doi.org/10.1007/978-1-4614-8265-9_807.

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Tompa, Frank Wm. "Document Databases." In Encyclopedia of Database Systems. Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-39940-9_807.

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Tompa, Frank. "Document Databases." In Encyclopedia of Database Systems. Springer New York, 2017. http://dx.doi.org/10.1007/978-1-4899-7993-3_807-2.

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Harrison, Guy. "Document Databases." In Next Generation Databases. Apress, 2015. http://dx.doi.org/10.1007/978-1-4842-1329-2_4.

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Tamer Özsu, M. "Database Support for Document and Multimedia Databases." In Informatik aktuell. Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/978-3-642-56687-5_1.

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Jiang, Mon-Fong, Shian-Shyong Tseng, and Chang-Jiun Tsai. "Discovering Structure from Document Databases." In Methodologies for Knowledge Discovery and Data Mining. Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/3-540-48912-6_23.

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Bolla, Sai Jyothi, Sudhir Tirumalasetty, and S. Jyothi. "Anatomization of Document-Based NoSQL Databases." In Innovations in Computer Science and Engineering. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-7082-3_65.

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Ostrovsky, David, and Yaniv Rodenski. "Designing Document-Oriented Databases with Couchbase." In Pro Couchbase Server. Apress, 2014. http://dx.doi.org/10.1007/978-1-4302-6614-3_2.

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Ostrovsky, David, Mohammed Haji, and Yaniv Rodenski. "Designing Document-Oriented Databases with Couchbase." In Pro Couchbase Server. Apress, 2015. http://dx.doi.org/10.1007/978-1-4842-1185-4_2.

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Shirai, Masato, and Takao Miura. "Document Classification Using POS Distribution." In Advances in Databases and Information Systems. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33074-2_26.

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Conference papers on the topic "Document databases"

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Thomas Mason, Robert. "NoSQL Databases and Data Modeling for a Document-oriented NoSQL Database." In InSITE 2015: Informing Science + IT Education Conferences: USA. Informing Science Institute, 2015. http://dx.doi.org/10.28945/2245.

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NoSQL databases are an important component of Big Data for storing and retrieving large volumes of data. Traditional Relational Database Management Systems (RDBMS) use the ACID theorem for data consistency, whereas NoSQL Databases use a non-transactional approach called BASE. RDBMS scale vertically and NoSQL Databases can scale both horizontally (sharding) and vertically. Four types of NoSQL databases are Document-oriented, Key-Value Pairs, Column-oriented and Graph. Data modeling for Document-oriented databases is similar to data modeling for traditional RDBMS during the conceptual and logical modeling phases. However, for a physical data model, entities can be combined (denormalized) by using embedding. What was once called a foreign key in a traditional RDBMS is now called a reference in a Document-oriented NoSQL database.
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AbuSafiya, Majed, and Subhasish Mazumdar. "Accommodating paper in document databases." In the 2004 ACM symposium. ACM Press, 2004. http://dx.doi.org/10.1145/1030397.1030428.

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Syeda-Mahmood, Tanveer F. "Indexing of technical manual document databases." In IS&T/SPIE's Symposium on Electronic Imaging: Science & Technology, edited by Wayne Niblack and Ramesh C. Jain. SPIE, 1995. http://dx.doi.org/10.1117/12.205313.

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Sousa, Gonçalo, and José Pereira. "NoSQL Databases: Exploring the Document-Based Family." In 15ª Conferência da Associação Portuguesa de Sistemas de Informação. Associação Portuguesa de Sistemas de Informação, APSI, 2015. http://dx.doi.org/10.18803/capsi.v15.475-491.

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Jang, Min-Hee, Tae-Hwan Eom, Sang-Wook Kim, and Young-Sup Hwang. "A semantic similarity measure in document databases." In the 2013 Research in Adaptive and Convergent Systems. ACM Press, 2013. http://dx.doi.org/10.1145/2513228.2513245.

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Wang, Jason Tsong-Li, Dennis Shasha, George J. S. Chang, Liam Relihan, Kaizhong Zhang, and Girish Patel. "Structural matching and discovery in document databases." In the 1997 ACM SIGMOD international conference. ACM Press, 1997. http://dx.doi.org/10.1145/253260.253406.

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Xu, Lianghong, Andrew Pavlo, Sudipta Sengupta, Jin Li, and Gregory R. Ganger. "Reducing replication bandwidth for distributed document databases." In SoCC '15: ACM Symposium on Cloud Computing. ACM, 2015. http://dx.doi.org/10.1145/2806777.2806840.

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Lucas, S. "Rapid content-based retrieval from document image databases." In IEE Colloquium on Intelligent Image Databases. IEE, 1996. http://dx.doi.org/10.1049/ic:19960748.

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Salarmehr, Reza. "Enhancing open collaborative applications using document-oriented databases." In 2016 Second International Conference on Web Research (ICWR). IEEE, 2016. http://dx.doi.org/10.1109/icwr.2016.7498462.

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Kumar, K. B. Sundhara, Srividya, and S. Mohanavalli. "A performance comparison of document oriented NoSQL databases." In 2017 International Conference on Computer, Communication and Signal Processing (ICCCSP). IEEE, 2017. http://dx.doi.org/10.1109/icccsp.2017.7944071.

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Reports on the topic "Document databases"

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Mann, Gideon. Multi-Document Relationship Fusion via Constraints on Probabilistic Databases. Defense Technical Information Center, 2007. http://dx.doi.org/10.21236/ada464777.

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Garris, Michael D., Stanley A. Janet, and William W. Klein. Federal Register document image database:. National Institute of Standards and Technology, 1998. http://dx.doi.org/10.6028/nist.ir.6245.

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Acree, C. D. TWRS technical baseline database manager definition document. Office of Scientific and Technical Information (OSTI), 1997. http://dx.doi.org/10.2172/341315.

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COVEY, L. I. WESF Capsule and Encapsulation Database System (EDS) Configuration Document. Office of Scientific and Technical Information (OSTI), 2000. http://dx.doi.org/10.2172/804816.

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Wang, Shuang, Aidong Liu, Zhilei Wang, and Yue Zhang. Efficacy and safety of acupuncture combined with Chinese herbal medicine in the treatment of angina pectoris of coronary heart disease: a systematic review and meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2021. http://dx.doi.org/10.37766/inplasy2021.11.0100.

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Review question / Objective: This study is the protocol for a systematic review to evaluate the Efficacy and safety of acupuncture combined with Chinese herbal medicine in the treatment of angina pectoris of coronary heart disease: a systematic review and meta-analysis. we conducted a systematic review and meta-analysis of published randomized clinical trials (RCTs) of such combined therapy in the treatment of angina pectoris of coronary heart disease, It provides a reliable scientific basis for clinicians to use this approach to treat angina pectoris of coronary heart disease. Information sources: We conducted a systematic search for relevant documents in the Chinese and English databases, and the search time is limited to November 23, 2021. The following eight databases are included : PubMed,EMBASE, Web of Science, The Cochrane Library, Chinese Biomedical Literature Database (CBM), Chinese National Knowledge Infrastructure (CNKI), Chinese Science and Technology Periodical Database (VIP), Wanfang Database.Relevant journals were searched to trace the references included in the study. Other resources will be searched if necessary.
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Berlinger, C. H. DESIGN AND IMPLEMENTATION OF PROJECT-SPECIFIC DOCUMENT AND DRAWING DATABASE SYSTEMS. Office of Scientific and Technical Information (OSTI), 1985. http://dx.doi.org/10.2172/1086304.

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Kumar, Indraneel, Lionel Beaulieu, Annie Cruz-Porter, Chun Song, Benjamin St. Germain, and Andrey Zhalnin. An Assessment of the Workforce and Occupations in the Highway, Street, and Bridge Construction Industries in Indiana. Purdue University, 2020. http://dx.doi.org/10.5703/1288284315018.

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This project explores workforce and occupations within the highway, street, and bridge construction industries (NAICS 237310) in Indiana. There are five specific deliverable comprised of three data reports, one policy document, and a website. The first data report includes an assessment of the workforce based on the eight-part framework, which are industry, occupations, job postings, hard-to-fill jobs, Classification of Instructional Programs (CIP), GAP Analysis, compatibility, and automation. The report defines a cluster followed by a detailed analysis of the occupations, skills, job postings, etc., in the NAICS 237310 industry in Indiana. The report makes use of specialized labor market databases, such as the Economic Modeling Specialists International (EMSI), CHMURA JobsEQ, etc. The analysis is based only on the jobs covered under the unemployment insurance or the Quarterly Census of Employment and Wages (QCEW) data. The second data report analyzes jobs to jobs flows to and from the construction industry in Indiana, with a particular emphasis on the Great Recession, by utilizing the Bureau of Labor Statistics (BLS) data. The third data report looks into the equal employment opportunity or Section 1391 and 1392 data for Indiana and analyzes specific characteristics of that data. The policy report includes a set of recommendations for workforce development for INDOT and a summary of the three data reports. The key data on occupations within the NAICS 237310 are provided in an interactive website. The website provides a data dashboard for individual INDOT Districts. The policy document recommends steps for development of the highways, streets and bridges construction workforce in INDOT Districts.
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Lehman, W. J. System requirements and design description for the document basis database interface (DocBasis). Office of Scientific and Technical Information (OSTI), 1997. http://dx.doi.org/10.2172/10154286.

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Robinson, G. Database design document (DBDD) for the enhanced logistics intratheater support tool (ELIST) database segment version 8.1.0.0 for solaris 7. Office of Scientific and Technical Information (OSTI), 2002. http://dx.doi.org/10.2172/793097.

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Croft, W. Bruce. Browsing, Discovery, and Search in Large Distributed Databases of Complex and Scanned Documents. Defense Technical Information Center, 2000. http://dx.doi.org/10.21236/ada372353.

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