Relevant bibliographies by topics / Attribute Database

Contents

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

Academic literature on the topic 'Attribute Database'

Author: Grafiati
Published: 3 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Attribute Database"

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Georgieva, Tsvetanka. "Methods for Investigation of Dependencies between Attributes in Databases." Serdica Journal of Computing 3, no. 3 (2009): 319–34. http://dx.doi.org/10.55630/sjc.2009.3.319-334.

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This paper surveys research in the field of data mining, which is related to discovering the dependencies between attributes in databases. We consider a number of approaches to finding the distribution intervals of association rules, to discovering branching dependencies between a given set of attributes and a given attribute in a database relation, to finding fractional dependencies between a given set of attributes and a given attribute in a database relation, and to collaborative filtering.
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Zhu, Yongjie, and Shenzhan Feng. "A Matching Method of Heterogeneous Database based on SOM and BP Neural Network." International Journal of Circuits, Systems and Signal Processing 15 (April 22, 2021): 383–92. http://dx.doi.org/10.46300/9106.2021.15.42.

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In the process of data integration among heterogeneous databases, it is significantly important to analyze the identical attributes and characteristics of the databases. However, the existing main data attribute matching model has the defects of oversize matching space and low matching precision. Therefore, this paper puts forward a heterogeneous data attribute matching model on the basis of fusion of SOM and BP network through analyzing the attribute matching process of heterogeneous databases. This model firstly matches the heterogeneous data attributes in advance by SOM network to determine
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RANDALL, D. J., H. J. HAMILTON, and R. J. HILDERMAN. "TEMPORAL GENERALIZATION WITH DOMAIN GENERALIZATION GRAPHS." International Journal of Pattern Recognition and Artificial Intelligence 13, no. 02 (1999): 195–217. http://dx.doi.org/10.1142/s0218001499000124.

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This paper addresses the problem of using domain generalization graphs to generalize temporal data extracted from relational databases. A domain generalization graph associated with an attribute defines a partial order which represents a set of generalization relations for the attribute. We propose formal specifications for domain generalization graphs associated with calendar (date and time) attributes. These graphs are reusable (i.e. can be used to generalize any calendar attributes), adaptable (i.e. can be extended or restricted as appropriate for particular applications), and transportable
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Chen, Ganlang. "Research on Big Data Attribute Selection Method in Submarine Optical Fiber Network Fault Diagnosis Database." Polish Maritime Research 24, s3 (2017): 221–27. http://dx.doi.org/10.1515/pomr-2017-0126.

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Abstract At present, in the fault diagnosis database of submarine optical fiber network, the attribute selection of large data is completed by detecting the attributes of the data, the accuracy of large data attribute selection cannot be guaranteed. In this paper, a large data attribute selection method based on support vector machines (SVM) for fault diagnosis database of submarine optical fiber network is proposed. Mining large data in the database of optical fiber network fault diagnosis, and calculate its attribute weight, attribute classification is completed according to attribute weight
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Kolesnikova, V. M., I. O. Alyabina, L. A. Vorob’eva, E. N. Molchanov, S. A. Shoba, and V. A. Rozhkov. "Soil attribute database of Russia." Eurasian Soil Science 43, no. 8 (2010): 839–47. http://dx.doi.org/10.1134/s1064229310080016.

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Su, Wei, Xue Zhang, and Jia Jing Xu. "A Fuzzy Clustering Algorithm Based on Parameter Optimization in Large Transaction Database." Advanced Materials Research 989-994 (July 2014): 2431–37. http://dx.doi.org/10.4028/www.scientific.net/amr.989-994.2431.

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In view of the discretization of continuous attributes of civil aviation radar intelligence data, this paper proposes a fuzzy partition algorithm of continuous attributes based on weighted index and optimization of clustering number, and its automatic determination of optimal weighted index m and optimal clustering number c overcomes the shortcomings of current attribute fuzzy methods of manual determination of classification number and no consideration of geometry data. The experimental results verify the validity and feasibility of fuzzy attribute discretization of civil aviation radar intel
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Mohamad Hassin Azeez, Naofal. "Data Mining Approach for Predicting Learner's Achievement." University of Thi-Qar Journal of Science 6, no. 2 (2017): 104–12. http://dx.doi.org/10.32792/utq/utjsci/v6i2.23.

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Student achievement variables that may be included into student database can be classified into three main categories, student variables. Instructor variables and general variables. This paper presents a new machine-learning model for extracting knowledge From student attributes in a given database. This knowledge can be used for determining the relative importance and effectiveness of student's attributes for the prediction of their college academic achievement, and the relationship between these attributes and their achievement. The model includes three main algorithms namely: preprocessing
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Liu, Kaiping, Hee Beng Kuan Tan, and Xu Chen. "Aiding Maintenance of Database Applications Through Extracting Attribute Dependency Graph." Journal of Database Management 24, no. 1 (2013): 20–35. http://dx.doi.org/10.4018/jdm.2013010102.

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Database is a major component of many software systems. This paper proposes a novel graph called the attribute dependency graph to reveal the dependencies between attributes in a database application and also the programs involved. The authors propose an approach to automatically extract the attribute dependency graph out of a database application from its source code through inter-procedural static program analysis. The extracted information is a straightforward indicator that benefits the maintenance process, particularly for impact analysis on the modifications in a database application. A
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Ulybyshev, Denis, Michael Rogers, Vadim Kholodilo, and Bradley Northern. "End-to-End Database Software Security." Software 2, no. 2 (2023): 163–76. http://dx.doi.org/10.3390/software2020007.

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End-to-end security is essential for relational database software. Most database management software provide data protection at the server side and in transit, but data are no longer protected once they arrive at the client software. In this paper, we present a methodology that, in addition to server-side security, protects data in transit and at rest on the application client side. Our solution enables flexible attribute-based and role-based access control, such that, for a given role or user with a given set of attributes, access can be granted to a relation, a column, or even to a particula
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Chua, Cecil Eng H., Roger H. L. Chiang, and Ee-Peng Lim. "Instance-based attribute identification in database integration." VLDB Journal The International Journal on Very Large Data Bases 12, no. 3 (2003): 228–43. http://dx.doi.org/10.1007/s00778-003-0088-y.

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Dissertations / Theses on the topic "Attribute Database"

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Shareef, Mohammed Ibrahim, and Aus Wail-Al Rawi. "The Customized Database Fragmentation Technique in Distributed Database Systems : A case Study." Thesis, Tekniska Högskolan, Högskolan i Jönköping, JTH, Data- och elektroteknik, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-18539.

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In current age, various companies are using a centralized database system for dailybusiness transactions in different domains. Some critical issues have been observedrelated to the complexity, maintenance, performance and communication cost of datain centralized data repository for query processing, according to the demand of endusersfrom different locations. So, different enterprises are striving to implementefficient distributed database systems in their business environments for scalability.The distributed database architecture covers different factors such as transparentmanagement system,
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Bell, Charles Andrew. "Attribute-Level Versioning: A Relational Mechanism for Version Storage and Retrieval." VCU Scholars Compass, 2005. http://scholarscompass.vcu.edu/etd/988.

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Data analysts today have at their disposal a seemingly endless supply of data and repositories hence, datasets from which to draw. New datasets become available daily thus making the choice of which dataset to use difficult. Furthermore, traditional data analysis has been conducted using structured data repositories such as relational database management systems (RDBMS). These systems, by their nature and design, prohibit duplication for indexed collections forcing analysts to choose one value for each of the available attributes for an item in the collection. Often analysts discover two or mo
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Thiyagarajah, Murali. "Attribute cardinality maps, new query result size estimation techniques for database systems." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape7/PQDD_0007/NQ42810.pdf.

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Thiyagarajah, Murali (Muralitharam) Carleton University Dissertation Computer Science. "Attribute cardinality maps; new query result size estimation techniques for database systems." Ottawa, 1999.

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Lekberg, Daniel, and Patrik Danielsson. "Designing and Implementing Generic database Systems Based on the entity-attribute-value Model." Thesis, Karlstads universitet, Avdelningen för datavetenskap, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-27963.

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The goal of this thesis is to produce a generic database system for an IT-company calledNinetech. In this context generic means the database system can accept any input, withinreason, without one having to create a specific database schema beforehand. The prototypewill consist of a database, web service and a dynamic-link library. The three aforementionedcomponent’s design and function will be explained in chapter 2, alongside with the difficul-ties surrounding manipulating arbitrary data. The prototype’s performance is evaluated inchapter 3 and conclusions are drawn in chapter 4.
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Schwalb, David, Jens Krüger, and Hasso Plattner. "Cache conscious column organization in in-memory column stores." Universität Potsdam, 2013. http://opus.kobv.de/ubp/volltexte/2013/6389/.

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Cost models are an essential part of database systems, as they are the basis of query performance optimization. Based on predictions made by cost models, the fastest query execution plan can be chosen and executed or algorithms can be tuned and optimised. In-memory databases shifts the focus from disk to main memory accesses and CPU costs, compared to disk based systems where input and output costs dominate the overall costs and other processing costs are often neglected. However, modelling memory accesses is fundamentally different and common models do not apply anymore. This work presents a
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Mack, Sybil B. "The design and implementation of a functional interface for the attribute-based multi-lingual database system." Thesis, Monterey, California. Naval Postgraduate School, 1992. http://hdl.handle.net/10945/23624.

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Ekberg, Albin, and Jacob Holm. "Effektiv och underhållssäker lagring av medicinsk data." Thesis, Linköpings universitet, Institutionen för datavetenskap, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-107331.

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Creating a database to manage medical data is not the easiest. We create a database to be used for a presentation tool that presents medical data about patients that is stored in the database. We examine which of the three databases, MySQL with relational design, MySQL with EAV design and MongoDB that are best suited for storing medical data. The analysis i performed in two steps. The first step handles the database that is most effective to retriev data. The second step examines how easy it is to change the structure of the various databases. The results show that depending on whether efficie
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Watanabe, Toyohide, Yuusuke Uehara, Yuuji Yoshida, and Teruo Fukumura. "A semantic data model for intellectual database access." IEEE, 1990. http://hdl.handle.net/2237/6923.

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Williams, Larry Ritchie Jr. "The Use of Relation Valued Attributes in Support of Fuzzy Data." VCU Scholars Compass, 2013. http://scholarscompass.vcu.edu/etd/3240.

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In his paper introducing fuzzy sets, L.A. Zadeh describes the difficulty of assigning some real-world objects to a particular class when the notion of class membership is ambiguous. If exact classification is not obvious, most people approximate using intuition and may reach agreement by placing an object in more than one class. Numbers or ‘degrees of membership’ within these classes are used to provide an approximation that supports this intuitive process. This results in a ‘fuzzy set’. This fuzzy set consists any number of ordered pairs to represent both the class and the class’s degree of
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Books on the topic "Attribute Database"

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Reeve, Derek E. Attribute data and database theory: Course notes. 4th ed. Manchester Metropolitan University Department of Environmental and Geographical Sciences, 1994.

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Mack, Sybil B. The design and implementation of a functional interface for the attribute-based multi-lingual database system. Naval Postgraduate School, 1992.

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Yang, Xibei. Incomplete Information System and Rough Set Theory: Models and Attribute Reductions. Springer Berlin Heidelberg, 2012.

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Sympson, William Goebel Anthony. Graphic interface for Attribute-Based Data Language queries from a personal computer to the Multi-Lingual, Multi-Model, Multi-Backend Database System over an ethernet network. Naval Postgraduate School, 1989.

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Division, Statistics Canada Geography, ed. Road network and geographic attribute file, reference guide: Census year 2006. Statistics Canada, GEO, 2007.

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Landres, Peter B. National wilderness preservation system database: Key attributes and trends, 1964 through 1998. U.S. Dept. of Agriculture, Forest Service, Rocky Mountain Research Station, 1998.

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Landres, Peter B. National wilderness preservation system database: Key attributes and trends, 1964 through 1999. U.S. Dept. of Agriculture, Forest Service, Rocky Mountain Research Station, 2000.

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Yan, Zhu, Dijiang Huang, and Qiuxiang Dong. Attribute-Based Encryption and Access Control. Taylor & Francis Group, 2020.

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Yan, Zhu, Dijiang Huang, and Qiuxiang Dong. Attribute-Based Encryption and Access Control. Taylor & Francis Group, 2021.

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Yan, Zhu, Dijiang Huang, and Qiuxiang Dong. Attribute-Based Encryption and Access Control. Taylor & Francis Group, 2020.

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Book chapters on the topic "Attribute Database"

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Rys, Michael. "XML Attribute." In Encyclopedia of Database Systems. Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4899-7993-3_796-2.

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Rys, Michael. "XML Attribute." In Encyclopedia of Database Systems. Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-39940-9_796.

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Rys, Michael. "XML Attribute." In Encyclopedia of Database Systems. Springer New York, 2018. http://dx.doi.org/10.1007/978-1-4614-8265-9_796.

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Merrett, T. H. "Attribute Metadata for Relational OLAP and Data Mining." In Database Programming Languages. Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-46093-4_6.

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Cao, Hui, Yongluan Zhou, Lidan Shou, and Gang Chen. "Attribute Outlier Detection over Data Streams." In Database Systems for Advanced Applications. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-12098-5_17.

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Koch, Christoph, and Stefanie Scherzinger. "Attribute Grammars for Scalable Query Processing on XML Streams." In Database Programming Languages. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-24607-7_15.

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Dobbie, Gillian, and Tok Wang Ling. "Object Relationship Attribute Data Model for Semistructured Data." In Encyclopedia of Database Systems. Springer New York, 2018. http://dx.doi.org/10.1007/978-1-4614-8265-9_5042.

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Huang, Shu-Meng, Ping-Yu Hsu, and Wan-Chih Wang. "A Study on the Modified Attribute Oriented Induction Algorithm of Mining the Multi-value Attribute Data." In Intelligent Information and Database Systems. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-28487-8_36.

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Chowdhary, Afzal Azeem, Chengfei Liu, Lu Chen, Rui Zhou, and Yun Yang. "Finding Attribute Diversified Communities in Complex Networks." In Database Systems for Advanced Applications. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-59419-0_2.

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de Vries, Denise, and John F. Roddick. "Facilitating Database Attribute Domain Evolution Using Mesodata." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30466-1_39.

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Conference papers on the topic "Attribute Database"

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Tan, Yantao, Zhiwen Ren, Zehua Ma, Weiming Zhang, and Nenghai Yu. "Low Distortion Database Watermarking Based on Attribute Prediction." In 2024 10th International Conference on Computer and Communications (ICCC). IEEE, 2024. https://doi.org/10.1109/iccc62609.2024.10941885.

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Aziz, Benjamin, Ukamaka Oragwu, and Safa Tharib. "A Deontic Logic Model of Attribute-Based Information Flows in Database-Defined Networks with Application to Healthcare Monitoring." In 11th International Conference on Information Systems Security and Privacy. SCITEPRESS - Science and Technology Publications, 2025. https://doi.org/10.5220/0013144900003899.

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Patterson, G., and J. Hays. "SUN attribute database: Discovering, annotating, and recognizing scene attributes." In 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2012. http://dx.doi.org/10.1109/cvpr.2012.6247998.

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Jiang, Zoe L., Jiajun Huang, Zechao Liu, and Xuan Wang. "Attribute-based queries over outsourced encrypted database." In 2017 International Conference on Security, Pattern Analysis, and Cybernetics (SPAC). IEEE, 2017. http://dx.doi.org/10.1109/spac.2017.8304269.

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Liu, Bo. "Database redundant attribute detection using fractal dimension." In 2014 5th IEEE International Conference on Software Engineering and Service Science (ICSESS). IEEE, 2014. http://dx.doi.org/10.1109/icsess.2014.6933630.

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Eichkitz, C., J. Amtmann, and M. G. Schreilechner. "Online Seismic Attribute Database for Efficient Literature Research." In 75th EAGE Conference and Exhibition incorporating SPE EUROPEC 2013. EAGE Publications BV, 2013. http://dx.doi.org/10.3997/2214-4609.20130201.

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Filatov, Valentin, and Vjatcheslav Radchenko. "Reengineering relational database on analysis functional dependent attribute." In 2015 Xth International Scientific and Technical Conference "Computer Sciences and Information Technologies" (CSIT). IEEE, 2015. http://dx.doi.org/10.1109/stc-csit.2015.7325438.

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Zhu, Jianqing, Shengcai Liao, Zhen Lei, Dong Yi, and Stan Z. Li. "Pedestrian Attribute Classification in Surveillance: Database and Evaluation." In 2013 IEEE International Conference on Computer Vision Workshops (ICCVW). IEEE, 2013. http://dx.doi.org/10.1109/iccvw.2013.51.

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Liu, Kaiping, Hee Beng Kuan Tan, and Xu Chen. "Extraction of Attribute Dependency Graph from Database Applications." In 2011 18th Asia Pacific Software Engineering Conference. IEEE, 2011. http://dx.doi.org/10.1109/apsec.2011.10.

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Amtmann, J., C. G. Eichkitz, and M. G. Schreilechner. "Seismic Attribute Database for Time Effective Literature Research." In 74th EAGE Conference and Exhibition incorporating EUROPEC 2012. EAGE Publications BV, 2012. http://dx.doi.org/10.3997/2214-4609.20148142.

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Reports on the topic "Attribute Database"

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Lutz, Carsten. Reasoning about Entity Relationship Diagrams with Complex Attribute Dependencies. Aachen University of Technology, 2002. http://dx.doi.org/10.25368/2022.119.

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Entity Relationship (ER) diagrams are among the most popular formalisms for the support of database design [7, 12, 17, 6]. Their classical use in the (usually computer aided) database design process can roughly be described as follows: after evaluating the requirements of the application, the database designer constructs an ER schema, which represents the conceptual model of the new database. CASE tools can be used to automatically transform the ER schema into a relational database schema, which is then manually fine-tuned. During the last years, the initially rather simple ER formalisms has b
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Chorlton, L. B. Generalized geology of the world: bedrock domains and major faults in GIS format: a small-scale world geology map with an extended geological attribute database. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2007. http://dx.doi.org/10.4095/223767.

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Kindt, Roeland, Ian K Dawson, Jens-Peter B Lillesø, Alice Muchugi, Fabio Pedercini, and James M Roshetko. The one hundred tree species prioritized for planting in the tropics and subtropics as indicated by database mining. World Agroforestry, 2021. http://dx.doi.org/10.5716/wp21001.pdf.

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A systematic approach to tree planting and management globally is hindered by the limited synthesis of information sources on tree uses and species priorities. To help address this, the authors ‘mined’ information from 23 online global and regional databases to assemble a list of the most frequent tree species deemed useful for planting according to database mentions, with a focus on tropical regions. Using a simple vote count approach for ranking species, we obtained a shortlist of 100 trees mentioned in at least 10 of our data sources (the ‘top-100’ species). A longer list of 830 trees that
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Loftis, Charles, Tennyson Chen, and Jonathan Cirella. Attribute-level encryption of data in public android databases. RTI Press, 2013. http://dx.doi.org/10.3768/rtipress.2013.op.0016.1309.

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Klein, John, Ian Gorton, Neil Ernst, Patrick Donohoe, Kim Pham, and Chrisjan Matser. Quality Attribute-Guided Evaluation of NoSQL Databases: An Experience Report. Defense Technical Information Center, 2014. http://dx.doi.org/10.21236/ada613928.

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Klein, John, Ian Gorton, Neil Ernst, Patrick Donohoe, Kim Pham, and Chrisjan Matser. Quality Attribute-Guided Evaluation of NoSQL Databases: A Case Study. Defense Technical Information Center, 2015. http://dx.doi.org/10.21236/ada614284.

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Loper, Susan A., and William F. Sandusky. Attributes of the Federal Energy Management Program's Federal Site Building Characteristics Database. Office of Scientific and Technical Information (OSTI), 2010. http://dx.doi.org/10.2172/1005139.

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Landres, Peter, and Shannon Meyer. National Wilderness Preservation System database: key attributes and trends, 1964 through 1999. U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station, 2000. http://dx.doi.org/10.2737/rmrs-gtr-18.

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Audoly, Richard, Manudeep Bhuller, and Tore Adam Reiremo. The Pay and Non-Pay Content of Job Ads. Federal Reserve Bank of New York, 2024. http://dx.doi.org/10.59576/sr.1124.

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How informative are job ads about the actual pay and amenities offered by employers? Using a comprehensive database of job ads posted by Norwegian employers, we develop a methodology to systematically classify the information on both pay and non-pay job attributes advertised in vacancy texts. We link this information to measures of employer attractiveness, which we derive from a job search model estimated on observed wages and worker mobility flows. About 55 percent of job ads provide information related to pay and nearly all ads feature information on non-pay attributes. We show that publicly
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Muñoz, Ercio, and Gabriela Jaque. Sibling Correlations in Schooling around the World: A New Database. Inter-American Development Bank, 2024. http://dx.doi.org/10.18235/0013272.

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We estimate sibling correlations in schooling (i.e., the fraction of inequality in educational outcomes that can be attributed to factors shared by siblings) for 94 countries, accounting for 85% of the world population. With this new database, we document several findings. On average, at least 51% of the inequality in schooling can be explained by shared family background. There are large regional differences, with North America and South Asia displaying the lowest and highest sibling correlations, respectively. There is important heterogeneity within some regions. The average sibling correlat
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