Relevant bibliographies by topics / Logical data

Contents

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

Academic literature on the topic 'Logical data'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Logical data"

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Kuper, Gabriel M., and Moshe Y. Vardi. "The logical data model." ACM Transactions on Database Systems 18, no. 3 (September 1993): 379–413. http://dx.doi.org/10.1145/155271.155274.

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Segev, Arie, and Arie Shoshani. "Logical modeling of temporal data." ACM SIGMOD Record 16, no. 3 (December 1987): 454–66. http://dx.doi.org/10.1145/38714.38760.

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Garani, Georgia, George K. Adam, and Dimitrios Ventzas. "Temporal data warehouse logical modelling." International Journal of Data Mining, Modelling and Management 8, no. 2 (2016): 144. http://dx.doi.org/10.1504/ijdmmm.2016.077156.

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Boros, Endre, Peter L. Hammer, Toshihide Ibaraki, and Alexander Kogan. "Logical analysis of numerical data." Mathematical Programming 79, no. 1-3 (October 1997): 163–90. http://dx.doi.org/10.1007/bf02614316.

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Grau, Bernardo Cuenca, and Egor V. Kostylev. "Logical Foundations of Linked Data Anonymisation." Journal of Artificial Intelligence Research 64 (February 16, 2019): 253–314. http://dx.doi.org/10.1613/jair.1.11355.

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The widespread adoption of the Linked Data paradigm has been driven by the increasing demand for information exchange between organisations, as well as by regulations in domains such as health care and governance that require certain data to be published. In this setting, sensitive information is at high risk of disclosure since published data can be often seamlessly linkedwith arbitrary external data sources.In this paper we lay the logical foundations of anonymisation in the context of Linked Data. We consider anonymisations of RDF graphs (and, more generally, relational datasets with labelled nulls) and define notions of policy-compliant and linkage-safe anonymisations. Policy compliance ensures that an anonymised dataset does not reveal any sensitive information as specified by a policy query. Linkage safety ensures that an anonymised dataset remains compliant even if it is linked to (possibly unknown) external datasets available on the Web, thus providing provable protection guarantees against data linkage attacks. We establish the computational complexity of the underpinning decision problems both under the open-world semantics inherent to RDF and under the assumption that an attacker has complete, closed-world knowledge over some parts of the original data.
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Ekin, Oya, Peter L. Hammer, and Alexander Kogan. "Convexity and logical analysis of data." Theoretical Computer Science 244, no. 1-2 (August 2000): 95–116. http://dx.doi.org/10.1016/s0304-3975(98)00337-5.

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Prokoshyna, Nataliya, Jaroslaw Szlichta, Fei Chiang, Renée J. Miller, and Divesh Srivastava. "Combining quantitative and logical data cleaning." Proceedings of the VLDB Endowment 9, no. 4 (December 2015): 300–311. http://dx.doi.org/10.14778/2856318.2856325.

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Turpin, Russell. "A logical approach to data structures." ACM SIGSOFT Software Engineering Notes 18, no. 5 (December 1993): 138–48. http://dx.doi.org/10.1145/167049.167073.

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Bouyer, Patricia. "A logical characterization of data languages." Information Processing Letters 84, no. 2 (October 2002): 75–85. http://dx.doi.org/10.1016/s0020-0190(02)00229-6.

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Barceló, Pablo. "Logical foundations of relational data exchange." ACM SIGMOD Record 38, no. 1 (June 24, 2009): 49–58. http://dx.doi.org/10.1145/1558334.1558341.

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Dissertations / Theses on the topic "Logical data"

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Martin, Bryan. "Collocation of Data in a Multi-temperate Logical Data Warehouse." University of Cincinnati / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1573569703200564.

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Becker, Katinka [Verfasser]. "Logical Analysis of Biological Data / Katinka Becker." Berlin : Freie Universität Berlin, 2021. http://d-nb.info/1241541779/34.

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Ferreira, Paulo Jorge Abreu Duarte. "Information flow analysis using data-dependent logical propositions." Master's thesis, Faculdade de Ciências e Tecnologia, 2012. http://hdl.handle.net/10362/8451.

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Dissertação para obtenção do Grau de Mestre em Engenharia Informática
A significant number of today’s software systems are designed around database systems that store business information, as well as data relevant to access control enforcement, such as user profiles and permissions. Thus, the code implementing security mechanisms is scattered across the application code, often replicated at different architectural layers, each one written in its own programming language and with its own data format. Several approaches address this problem by integrating the development of all application layers in a single programming language. For instance, languages like Ur/Web and LiveWeb/lDB provide static verification of security policies related to access control, ensuring that access control code is correctly placed. However, these approaches provide limited support to the task of ensuring that information is not indirectly leaked because of implementation errors. In this thesis, we present a type-based information-flow analysis for a core language based in lDB, whose security levels are logical propositions depending on actual data. This approach allows for an accurate tracking of information throughout a databasebacked software system, statically detecting the information leaks that may occur, with precision at the table-cell level. In order to validate our approach, we discuss the implementation of a proof of-concept extension to the LiveWeb framework and the concerns involved in the development of a medium-sized application in our language.
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Chung, Koo-Don. "Data transfer over multiplexed logical data links sharing a single physical circuit." Diss., Georgia Institute of Technology, 1990. http://hdl.handle.net/1853/9201.

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Alavi, Arash. "Data retrieval single layer networks of logical memory neurons." Thesis, Brunel University, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.302820.

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Higa, Kunihiko. "End user logical database design: The structured entity model approach." Diss., The University of Arizona, 1988. http://hdl.handle.net/10150/184539.

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We live in the Information Age. The effective use of information to manage organizational resources is the key to an organization's competitive power. Thus, a database plays a major role in the Information Age. A well designed database contains relevant, nonredundant, and consistent data. However, a well designed database is rarely achieved in practice. One major reason for this problem is the lack of effective support for logical database design. Since the late 1980s, various methodologies for database design have been introduced, based on the relational model, the functional model, the semantic database model, and the entity structure model. They all have, however, a common drawback: the successful design of database systems requires the experience, skills, and competence of a database analyst/designer. Unfortunately, such database analyst/designers are a scarce resource in organizations. The Structured Entity Model (SEM) method, as an alternative diagrammatic method developed by this research, facilitates the logical design phases of database system development. Because of the hierarchical structure and decomposition constructs of SEM, it can help a novice designer in performing top-down structured analysis and design of databases. SEM also achieves high semantic expressiveness by using a frame representation for entities and three general association categories (aspect, specialization, and multiple decomposition) for relationships. This also enables SEM to have high potential as a knowledge representation scheme for an integrated heterogeneous database system. Unlike most methods, the SEM method does not require designers to have knowledge of normalization theory in order to design a logical database. Thus, an end-user will be able to complete logical database design successfully using this approach. In this research, existing data models used for a logical database design were first studied. Second, the framework of SEM and the design approach using SEM were described and then compared with other data models and their use. Third, the effectiveness of the SEM method was validated in two experiments using novice designers and by a case analysis. In the final chapter of this dissertation, future research directions, such as the design of a logical database design expert system based on the SEM method and applications of this approach to other problems, such as the problems in integration of multiple databases and in an intelligent mail system, are discussed.
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PHIPPS, CASSANDRA J. "Migrating an Operational Database Schema to Data Warehouse Schemas." University of Cincinnati / OhioLINK, 2002. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1019667418.

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Mallur, Vikram. "A Model for Managing Data Integrity." Thesis, Université d'Ottawa / University of Ottawa, 2011. http://hdl.handle.net/10393/20233.

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Consistent, accurate and timely data are essential to the functioning of a modern organization. Managing the integrity of an organization’s data assets in a systematic manner is a challenging task in the face of continuous update, transformation and processing to support business operations. Classic approaches to constraint-based integrity focus on logical consistency within a database and reject any transaction that violates consistency, but leave unresolved how to fix or manage violations. More ad hoc approaches focus on the accuracy of the data and attempt to clean data assets after the fact, using queries to flag records with potential violations and using manual efforts to repair. Neither approach satisfactorily addresses the problem from an organizational point of view. In this thesis, we provide a conceptual model of constraint-based integrity management (CBIM) that flexibly combines both approaches in a systematic manner to provide improved integrity management. We perform a gap analysis that examines the criteria that are desirable for efficient management of data integrity. Our approach involves creating a Data Integrity Zone and an On Deck Zone in the database for separating the clean data from data that violates integrity constraints. We provide tool support for specifying constraints in a tabular form and generating triggers that flag violations of dependencies. We validate this by performing case studies on two systems used to manage healthcare data: PAL-IS and iMED-Learn. Our case studies show that using views to implement the zones does not cause any significant increase in the running time of a process.
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Hagward, Anders. "Using Git Commit History for Change Prediction : An empirical study on the predictive potential of file-level logical coupling." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-172998.

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In recent years, a new generation of distributed version control systems have taken the place of the aging centralized ones, with Git arguably being the most popular distributed system today. We investigate the potential of using Git commit history to predict files that are often changed together. Specifically, we look at the rename tracking heuristic found in Git, and the impact it has on prediction performance. By applying a data mining algorithm to five popular GitHub repositories we extract logical coupling – inter-file dependencies not necessarily detectable by static analysis – on which we base our change prediction. In addition, we examine if certain commits are better suited for change prediction than others; we define a bug fix commit as a commit that resolves one or more issues in the associated issue tracking system and compare their prediction performance. While our findings do not reveal any notable differences in prediction performance when disregarding rename information, they suggest that extracting coupling from, and predicting on, bug fix commits in particular could lead to predictions that are both more accurate and numerous.
De senaste åren har en ny generation av distribuerade versionshanteringssystem tagit plats där tidigare centraliserade sådana huserat. I spetsen för dessa nya system går ett system vid namn Git. Vi undersöker potentialen i att nyttja versionshistorik från Git i syftet att förutspå filer som ofta redigeras ihop. I synnerhet synar vi Gits heuristik för att detektera när en fil flyttats eller bytt namn, någonting som torde vara användbart för att bibehålla historiken för en sådan fil, och mäter dess inverkan på prediktionsprestandan. Genom att applicera en datautvinningsalgoritm på fem populära GitHubprojekt extraherar vi logisk koppling – beroenden mellan filer som inte nödvändigtvis är detekterbara medelst statisk analys – på vilken vi baserar vår prediktion. Därtill utreder vi huruvida vissa Gitcommits är bättre lämpade för prediktion än andra; vi definierar en buggfixcommit som en commit som löser en eller flera buggar i den tillhörande buggdatabasen, och jämför deras prediktionsprestanda. Medan våra resultat ej kan påvisa några större prestandamässiga skillnader när flytt- och namnbytesinformationen ignorerades, indikerar de att extrahera koppling från, och prediktera på, enbart bugfixcommits kan leda till förutsägelser som är både mer precisa och mångtaliga.
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Lopes, Siqueira Thiago Luis. "The Design of Vague Spatial Data Warehouses." Doctoral thesis, Universite Libre de Bruxelles, 2015. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/221701.

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Spatial data warehouses (SDW) and spatial online analytical processing (SOLAP) enhance decision making by enabling spatial analysis combined with multidimensional analytical queries. A SDW is an integrated and voluminous multidimensional database containing both conventional and spatial data. SOLAP allows querying SDWs with multidimensional queries that select spatial data that satisfy a given topological relationship and that aggregate spatial data. Existing SDW and SOLAP applications mostly consider phenomena represented by spatial data having exact locations and sharp boundaries. They neglect the fact that spatial data may be affected by imperfections, such as spatial vagueness, which prevents distinguishing an object from its neighborhood. A vague spatial object does not have a precisely defined boundary and/or interior. Thus, it may have a broad boundary and a blurred interior, and is composed of parts that certainly belong to it and parts that possibly belong to it. Although several real-world phenomena are characterized by spatial vagueness, no approach in the literature addresses both spatial vagueness and the design of SDWs nor provides multidimensional analysis over vague spatial data. These shortcomings motivated the elaboration of this doctoral thesis, which addresses both vague spatial data warehouses (vague SDWs) and vague spatial online analytical processing (vague SOLAP). A vague SDW is a SDW that comprises vague spatial data, while vague SOLAP allows querying vague SDWs. The major contributions of this doctoral thesis are: (i) the Vague Spatial Cube (VSCube) conceptual model, which enables the creation of conceptual schemata for vague SDWs using data cubes; (ii) the Vague Spatial MultiDim (VSMultiDim) conceptual model, which enables the creation of conceptual schemata for vague SDWs using diagrams; (iii) guidelines for designing relational schemata and integrity constraints for vague SDWs, and for extending the SQL language to enable vague SOLAP; (iv) the Vague Spatial Bitmap Index (VSB-index), which improves the performance to process queries against vague SDWs. The applicability of these contributions is demonstrated in two applications of the agricultural domain, by creating conceptual schemata for vague SDWs, transforming these conceptual schemata into logical schemata for vague SDWs, and efficiently processing queries over vague SDWs.
Les entrepôts de données spatiales (EDS) et l'analyse en ligne spatiale (ALS) améliorent la prise de décision en permettant l'analyse spatiale combinée avec des requêtes analytiques multidimensionnelles. Un EDS est une base de données multidimensionnelle intégrée et volumineuse qui contient des données classiques et des données spatiales. L'ALS permet l'interrogation des EDS avec des requêtes multidimensionnelles qui sélectionnent des données spatiales qui satisfont une relation topologique donnée et qui agrègent les données spatiales. Les EDS et l'ALS considèrent essentiellement des phénomènes représentés par des données spatiales ayant une localisation exacte et des frontières précises. Ils négligent que les données spatiales peuvent être affectées par des imperfections, comme l'imprécision spatiale, ce qui empêche de distinguer précisément un objet de son entourage. Un objet spatial vague n'a pas de frontière et/ou un intérieur précisément définis. Ainsi, il peut avoir une frontière large et un intérieur flou, et est composé de parties qui lui appartiennent certainement et des parties qui lui appartiennent éventuellement. Bien que plusieurs phénomènes du monde réel sont caractérisés par l'imprécision spatiale, il n'y a pas dans la littérature des approches qui adressent en même temps l'imprécision spatiale et la conception d'EDS ni qui fournissent une analyse multidimensionnelle des données spatiales vagues. Ces lacunes ont motivé l'élaboration de cette thèse de doctorat, qui adresse à la fois les entrepôts de données spatiales vagues (EDS vagues) et l'analyse en ligne spatiale vague (ALS vague). Un EDS vague est un EDS qui comprend des données spatiales vagues, tandis que l'ALS vague permet d'interroger des EDS vagues. Les contributions majeures de cette thèse de doctorat sont: (i) le modèle conceptuel Vague Spatial Cube (VSCube), qui permet la création de schémas conceptuels pour des EDS vagues à l'aide de cubes de données; (ii) le modèle conceptuel Vague Spatial MultiDim (VSMultiDim), qui permet la création de schémas conceptuels pour des EDS vagues à l'aide de diagrammes; (iii) des directives pour la conception de schémas relationnels et des contraintes d'intégrité pour des EDS vagues, et pour l'extension du langage SQL pour permettre l'ALS vague; (iv) l'indice Vague Spatial Bitmap (VSB-index) qui améliore la performance pour traiter les requêtes adressées à des EDS vagues. L'applicabilité de ces contributions est démontrée dans deux applications dans le domaine agricole, en créant des schémas conceptuels des EDS vagues, la transformation de ces schémas conceptuels en schémas logiques pour des EDS vagues, et le traitement efficace des requêtes sur des EDS vagues.
O data warehouse espacial (DWE) é um banco de dados multidimensional integrado e volumoso que armazena dados espaciais e dados convencionais. Já o processamento analítico-espacial online (SOLAP) permite consultar o DWE, tanto pela seleção de dados espaciais que satisfazem um relacionamento topológico, quanto pela agregação dos dados espaciais. Deste modo, DWE e SOLAP beneficiam o suporte a tomada de decisão. As aplicações de DWE e SOLAP abordam majoritarimente fenômenos representados por dados espaciais exatos, ou seja, que assumem localizações e fronteiras bem definidas. Contudo, tais aplicações negligenciam dados espaciais afetados por imperfeições, tais como a vagueza espacial, a qual interfere na identificação precisa de um objeto e de seus vizinhos. Um objeto espacial vago não tem sua fronteira ou seu interior precisamente definidos. Além disso, é composto por partes que certamente pertencem a ele e partes que possivelmente pertencem a ele. Apesar de inúmeros fenômenos do mundo real serem caracterizados pela vagueza espacial, na literatura consultada não se identificaram trabalhos que considerassem a vagueza espacial no projeto de DWE e nem para consultar o DWE. Tal limitação motivou a elaboração desta tese de doutorado, a qual introduz os conceitos de DWE vago e de SOLAP vago. Um DWE vago é um DWE que armazena dados espaciais vagos, enquanto que SOLAP vago provê os meios para consultar o DWE vago. Nesta tese, o projeto de DWE vago é abordado e as principais contribuições providas são: (i) o modelo conceitual VSCube que viabiliza a criação de um cubos de dados multidimensional para representar o esquema conceitual de um DWE vago; (ii) o modelo conceitual VSMultiDim que permite criar um diagrama para representar o esquema conceitual de um DWE vago; (iii) diretrizes para o projeto lógico do DWE vago e de suas restrições de integridade, e para estender a linguagem SQL visando processar as consultas de SOLAP vago no DWE vago; e (iv) o índice VSB-index que aprimora o desempenho do processamento de consultas no DWE vago. A aplicabilidade dessas contribuições é demonstrada em dois estudos de caso no domínio da agricultura, por meio da criação de esquemas conceituais de DWE vago, da transformação dos esquemas conceituais em esquemas lógicos de DWE vago, e do processamento de consultas envolvendo as regiões vagas do DWE vago.
Doctorat en Sciences de l'ingénieur et technologie
Location of the public defense: Universidade Federal de São Carlos, São Carlos, SP, Brazil.
info:eu-repo/semantics/nonPublished
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Books on the topic "Logical data"

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Chmura, Alan, and J. Mark Heumann. Logical Data Modeling. New York, NY: Springer New York, 2005. http://dx.doi.org/10.1007/b100064.

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E, Jones Paul, ed. Logical data base design. 2nd ed. Wellesley, Mass: QED Information Sciences, 1988.

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A practical guide to logical data modeling. New York: McGraw-Hill, 1993.

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Naqvi, Shamim. A logical language for data and knowledge bases. New York: Computer Science Press, 1989.

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Shalom, Tsur, ed. A logical language for data and knowledge bases. New York: Computer Science Press, 1989.

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International Federation of Accountants. Small and Medium Practices Task Force. Controlling computers in business: Logical access security. [United States?]: PricewaterhouseCoopers, 2003.

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H, Inmon William, and Graziano Kent 1960-, eds. The data model resource book: A library of logical data models and data warehouse designs. New York: Wiley, 1997.

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Chikalov, Igor. Three Approaches to Data Analysis: Test Theory, Rough Sets and Logical Analysis of Data. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013.

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Lager, Torbjörn. A logical approach to computational corpus linguistics. [Göteborg]: Department of Linguistics, Göteborg University, 1995.

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Finlay, Paul N. A logical way of controlling the cost of data acquisition. Loughborough: Loughborough University of Technology, 1985.

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Book chapters on the topic "Logical data"

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Toman, David. "Logical Data Expiration." In Logics for Emerging Applications of Databases, 203–38. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-642-18690-5_6.

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Skidmore, Steve. "Logical Data Design." In Introducing Systems Design, 53–68. London: Macmillan Education UK, 1996. http://dx.doi.org/10.1007/978-1-349-25536-8_5.

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Skidmore, Steve. "Logical Data Perspective." In Introducing Systems Analysis, 69–88. London: Macmillan Education UK, 1997. http://dx.doi.org/10.1007/978-1-349-14672-7_6.

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Morrissey, Sean. "Logical Data Analysis." In iOS Forensic Analysis for iPhone, iPad, and iPod touch, 135–207. Berkeley, CA: Apress, 2010. http://dx.doi.org/10.1007/978-1-4302-3343-5_5.

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Weik, Martin H. "logical data link." In Computer Science and Communications Dictionary, 922. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_10546.

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Weik, Martin H. "logical data structure." In Computer Science and Communications Dictionary, 922. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_10547.

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Vaisman, Alejandro, and Esteban Zimányi. "Logical Data Warehouse Design." In Data Warehouse Systems, 121–78. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-54655-6_5.

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Langer, Arthur M. "Logical Data Modeling (LDM)." In The Art of Analysis, 61–80. New York, NY: Springer New York, 1997. http://dx.doi.org/10.1007/978-1-4757-2748-7_4.

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Chou, Hsiu-Mei. "Logical Data Resource Storage." In Fish4Knowledge: Collecting and Analyzing Massive Coral Reef Fish Video Data, 51–57. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-30208-9_5.

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Joshi, Amit Krishna, Pascal Hitzler, and Guozhu Dong. "Logical Linked Data Compression." In The Semantic Web: Semantics and Big Data, 170–84. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38288-8_12.

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Conference papers on the topic "Logical data"

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Kumar, Shailesh, Chandrashekar V., and C. V. Jawahar. "Logical Itemset Mining." In 2012 IEEE 12th International Conference on Data Mining Workshops. IEEE, 2012. http://dx.doi.org/10.1109/icdmw.2012.85.

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Segev, Arie, and Arie Shoshani. "Logical modeling of temporal data." In the 1987 ACM SIGMOD international conference. New York, New York, USA: ACM Press, 1987. http://dx.doi.org/10.1145/38713.38760.

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Liu, Wei, Pin Wang, Yuyue Du, and Chun Yan. "Logical Petri Nets with Data." In 2015 Fifth International Conference on Instrumentation & Measurement, Computer, Communication and Control (IMCCC). IEEE, 2015. http://dx.doi.org/10.1109/imccc.2015.183.

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Jung, Jean Christoph, Carsten Lutz, Hadrien Pulcini, and Frank Wolter. "Logical Separability of Incomplete Data under Ontologies." In 17th International Conference on Principles of Knowledge Representation and Reasoning {KR-2020}. California: International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/kr.2020/52.

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Finding a logical formula that separates positive and negative examples given in the form of labeled data items is fundamental in applications such as concept learning, reverse engineering of database queries, and generating referring expressions. In this paper, we investigate the existence of a separating formula for incomplete data in the presence of an ontology. Both for the ontology language and the separation language, we concentrate on first-order logic and three important fragments thereof: the description logic ALCI, the guarded fragment, and the two-variable fragment. We consider several forms of separability that differ in the treatment of negative examples and in whether or not they admit the use of additional helper symbols to achieve separation. We characterize separability in a model-theoretic way, compare the separating power of the different languages, and determine the computational complexity of separability as a decision problem.
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Ikeda, R., Akash Das Sarma, and J. Widom. "Logical provenance in data-oriented workflows?" In 2013 29th IEEE International Conference on Data Engineering (ICDE 2013). IEEE, 2013. http://dx.doi.org/10.1109/icde.2013.6544882.

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Pfaltz, John L. "Establishing Logical Rules from Empirical Data." In 19th IEEE International Conference on Tools with Artificial Intelligence(ICTAI 2007). IEEE, 2007. http://dx.doi.org/10.1109/ictai.2007.53.

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Avila-Herrera, Juan Felix, and Munevver Mine Subasi. "Logical analysis of multi-class data." In 2015 XLI Latin American Computing Conference (CLEI). IEEE, 2015. http://dx.doi.org/10.1109/clei.2015.7360007.

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Turpin, Russell. "A logical approach to data structures." In the 1st ACM SIGSOFT symposium. New York, New York, USA: ACM Press, 1993. http://dx.doi.org/10.1145/256428.167073.

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Jovanovic, Petar, Alkis Simitsis, and Kevin Wilkinson. "Engine independence for logical analytic flows." In 2014 IEEE 30th International Conference on Data Engineering (ICDE). IEEE, 2014. http://dx.doi.org/10.1109/icde.2014.6816723.

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Goldberg, Noam, and Chung-chieh Shan. "Boosting Optimal Logical Patterns Using Noisy Data." In Proceedings of the 2007 SIAM International Conference on Data Mining. Philadelphia, PA: Society for Industrial and Applied Mathematics, 2007. http://dx.doi.org/10.1137/1.9781611972771.21.

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Reports on the topic "Logical data"

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Smith, III, Nguyen James F., and ThanhVu H. Evolutionary Data Mining Approach to Creating Digital Logic. Fort Belvoir, VA: Defense Technical Information Center, January 2010. http://dx.doi.org/10.21236/ada524122.

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Ganesh, Chidambar. Fuzzy Logic-Based Inferencing in the Presence of Input Data Uncertainty. Fort Belvoir, VA: Defense Technical Information Center, January 1998. http://dx.doi.org/10.21236/ada640493.

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Author, Not Given. Oak Ridge National Laboratory Technology Logic Diagram. Volume 3, Technology evaluation data sheets: Part A, Characterization, Decontamination. Office of Scientific and Technical Information (OSTI), September 1993. http://dx.doi.org/10.2172/10147346.

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Fellows, R. L. Oak Ridge K-25 Site Technology Logic Diagram. Volume 3, Technology evaluation data sheets; Part A, Characterization, decontamination, dismantlement. Office of Scientific and Technical Information (OSTI), February 1993. http://dx.doi.org/10.2172/10131616.

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Li, Howell, Tom Platte, Jijo K. Mathew, W. Benjamin Smith, Enrique Saldivar-Carranza, and Darcy M. Bullock. Using Connected Vehicle Data to Reassess Dilemma Zone Performance of Heavy Vehicles. Purdue University, 2020. http://dx.doi.org/10.5703/1288284317321.

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The rate of fatalities at signalized intersections involving heavy vehicles is nearly five times higher than for passenger vehicles in the US. Previous studies in the US have found that heavy vehicles are twice as likely to violate a red light compared with passenger vehicles. Current technologies leverage setback detection to extend green time for a particular phase and are based upon typical deceleration rates for passenger cars. Furthermore, dilemma zone detectors are not effective when the max out time expires and forces the onset of yellow. This study proposes the use of connected vehicle (CV) technology to trigger force gap out (FGO) before a vehicle is expected to arrive within the dilemma zone limit at max out time. The method leverages position data from basic safety messages (BSMs) to map-match virtual waypoints located up to 1,050 ft in advance of the stop bar. For a 55 mph approach, field tests determined that using a 6 ft waypoint radius at 50 ft spacings would be sufficient to match 95% of BSM data within a 5% lag threshold of 0.59 s. The study estimates that FGOs reduce dilemma zone incursions by 34% for one approach and had no impact for the other. For both approaches, the total dilemma zone incursions decreased from 310 to 225. Although virtual waypoints were used for evaluating FGO, the study concludes by recommending that trajectory-based processing logic be incorporated into controllers for more robust support of dilemma zone and other emerging CV applications.
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Fellows, R. L. Oak Ridge K-25 Site Technology Logic Diagram. Volume 3, Technology evaluation data sheets; Part B, Remedial action, robotics/automation, waste management. Office of Scientific and Technical Information (OSTI), February 1993. http://dx.doi.org/10.2172/10131618.

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Wiecha, Jean L., and Mary K. Muth. Agreements Between Public Health Organizations and Food and Beverage Companies: Approaches to Improving Evaluation. RTI Press, January 2021. http://dx.doi.org/10.3768/rtipress.2021.op.0067.2101.

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Efforts in the United States and abroad to address the chronic disease epidemic have led to the emergence of voluntary industry agreements as a substitute for regulatory approaches to improve the healthfulness of foods and beverages. Because of the lack of access to data and limited budgets, evaluations of these agreements have often been limited to process evaluation with less focus on outcomes and impact. Increasing scientific scope and rigor in evaluating voluntary food and beverage industry agreements would improve potential public health benefits and understanding of the effects of these agreements. We describe how evaluators can provide formative, process, and outcome assessment and discuss challenges and opportunities for impact assessment. We explain how logic models, industry profiles, quasi-experimental designs, mixed-methods approaches, and third-party data can improve the effectiveness of agreement design and evaluation. These methods could result in more comprehensive and rigorous evaluation of voluntary industry agreements, thus providing data to bolster the public health impacts of future agreements. However, improved access to data and larger evaluation budgets will be needed to support improvements in evaluation.
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Stouffer, Keith, Joe Falco, and Karen Scarfone. Guide to Industrial Control Systems (ICS) Security : Supervisory Control and Data Acquisition (SCADA) Systems, Distributed Control Systems (DCS), and Other Control System Configurations such as Programmable Logic Controllers (PLC). National Institute of Standards and Technology, May 2013. http://dx.doi.org/10.6028/nist.sp.800-82r1.

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Stouffer, Keith, Joe Falco, and Karen Scarfone. Guide to Industrial Control Systems (ICS) Security - Supervisory Control and Data Acquisition (SCADA) systems, Distributed Control Systems (DCS), and other control system configurations such as Programmable Logic Controllers (PLC). Gaithersburg, MD: National Institute of Standards and Technology, June 2011. http://dx.doi.org/10.6028/nist.sp.800.82.

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Bjella, Kevin, Yuri Shur, Misha Kanevskiy, Paul Duvoy, Bruno Grunau, John Best, Stephen Bourne, and Rosa Affleck. Improving design methodologies and assessment tools for building on permafrost in a warming climate. Engineer Research and Development Center (U.S.), November 2020. http://dx.doi.org/10.21079/11681/38879.

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The U.S. Department of Defense (DoD) operates numerous Arctic and Subarctic installations, including Alaska. Changes to permafrost can threaten critical built infrastructure. It is critical to accurately characterize and compare site conditions in permafrost regions to enable the efficient, cost-effective design and construction of an infrastructure well suited to the permafrost environment and that meets DoD requirements. This report describes three research efforts to establish (1) field investigation approaches for ground ice detection and delineation, (2) methods and modeling for early warning detection of thawing permafrost under infrastructure, and (3) an outline of a decision support system that determines the most applicable foundation design for warming and degrading permafrost. Outcomes of these interrelated efforts address needs to improve construction of DoD mission critical infrastructure on Arctic and Subarctic permafrost terrains. Field investigation processes used systematic methodologies including borehole data and geophysical measurements to effectively characterize subsurface permafrost information. The Permafrost Foundation Decision Support System (PFFDSS) tool implements and logically links field survey information and foundation type assessments. The current version of PFFDSS is designed to be accessible to design-engineers of a broad range of experience, that will reduce the effort and cost, and improve the effectiveness of site assessment.
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