Conferences related to Deductive databases

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2023 Annual International Conference of the IEEE Engineering in Medicine & Biology Conference (EMBC)

The conference program will consist of plenary lectures, symposia, workshops and invitedsessions of the latest significant findings and developments in all the major fields of biomedical engineering.Submitted full papers will be peer reviewed. Accepted high quality papers will be presented in oral and poster sessions,will appear in the Conference Proceedings and will be indexed in PubMed/MEDLINE.


2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC)

The 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2020) will be held in Metro Toronto Convention Centre (MTCC), Toronto, Ontario, Canada. SMC 2020 is the flagship conference of the IEEE Systems, Man, and Cybernetics Society. It provides an international forum for researchers and practitioners to report most recent innovations and developments, summarize state-of-the-art, and exchange ideas and advances in all aspects of systems science and engineering, human machine systems, and cybernetics. Advances in these fields have increasing importance in the creation of intelligent environments involving technologies interacting with humans to provide an enriching experience and thereby improve quality of life. Papers related to the conference theme are solicited, including theories, methodologies, and emerging applications. Contributions to theory and practice, including but not limited to the following technical areas, are invited.


2019 Federated Conference on Computer Science and Information Systems (FedCSIS)

The mission of the FedCSIS Conference Series is to provide a highly acclaimed multi-conference forum in computer science and information systems. The forum invites researchers from around the world to contribute their research results and participate in Events focused on their scientific and professional interests in computer science and information systems.The FedCSIS multi-conference consists of a significant number of recurring Events and it welcomes proposals for new Events (conferences, symposia, workshops, special sessions). Each Event may run over any span of time within the conference dates (from half-day to three days). Since 2012, Proceedings of the FedCSIS conference are indexed in the Web of Science and other indexing services.

  • 2018 Federated Conference on Computer Science and Information Systems (FedCSIS)

    The mission of the FedCSIS Conference Series is to provide a highly acclaimed multi-conference forum in computer science and information systems. The forum invites researchers from around the world to contribute their research results and participate in Events focused on their scientific and professional interests in computer science and information systems.The FedCSIS multi-conference consists of a significant number of recurring Events and it welcomes proposals for new Events (conferences, symposia, workshops, special sessions). Each Event may run over any span of time within the conference dates (from half-day to three days). Since 2012, Proceedings of the FedCSIS conference are indexed in the Web of Science and other indexing services.

  • 2017 Federated Conference on Computer Science and Information Systems (FedCSIS)

    The FedCSIS Multiconference consists of Events (conferences, symposia, workshops, special sessions). Each Event may run over any span of time within the conference dates (from half-day to three days). The FedCSIS Events provide a platform for bringing together researchers, practitioners, and academia to present and discuss ideas, challenges and potential solutions on established or emerging topics related to research and practice in computer science and information systems. Since 2012, Proceedings of the FedCSIS conference are indexed in the Thomson Reuters Web of Science.

  • 2016 Federated Conference on Computer Science and Information Systems (FedCSIS)

    The FedCSIS Multiconference consists of Events (conferences, symposia, workshops, special sessions). Each Event may run over any span of time within the conference dates (from half-day to three days). The FedCSIS Events provide a platform for bringing together researchers, practitioners, and academia to present and discuss ideas, challenges and potential solutions on established or emerging topics related to research and practice in computer science and information systems. Since 2012, Proceedings of the FedCSIS conference are indexed in the Thomson Reuters Web of Science.

  • 2015 Federated Conference on Computer Science and Information Systems (FedCSIS)

    The FedCSIS Multiconference consists of Events (conferences, symposia, workshops, special sessions). Each Event may run over any span of time within the conference dates (from half-day to three days). The FedCSIS Events provide a platform for bringing together researchers, practitioners, and academia to present and discuss ideas, challenges and potential solutions on established or emerging topics related to research and practice in computer science and information systems.

  • 2014 Federated Conference on Computer Science and Information Systems (FedCSIS)

    The FedCSIS Multiconference consists of Events (conferences, symposia, workshops, special sessions). Each Event may run over any span of time within the conference dates (from half-day to three days). The FedCSIS Events provide a platform for bringing together researchers, practitioners, and academia to present and discuss ideas, challenges and potential solutions on established or emerging topics related to research and practice in computer science and information systems.

  • 2013 Federated Conference on Computer Science and Information Systems (FedCSIS)

    FedCSIS Multiconference consists of Events (conferences, symposia, workshops, special sessions) that provide a platform for bringing together researchers, practitioners, and academia to present and discuss ideas, challenges and potential solutions on topics related to research and practice in CS/IS.

  • 2012 Federated Conference on Computer Science and Information Systems (FedCSIS)

    Continuation of FedCSIS 2011, scope depends on the scopes of individual events that FedCSIS consists of.

  • 2011 Federated Conference on Computer Science and Information Systems (FedCSIS)


2019 IEEE 35th International Conference on Data Engineering (ICDE)

AI interaction with DB technologyBig Data, Data-Warehousing System ArchitecturesBenchmarking, Performance Modelling, and TuningCrowdsourcingCloud Computing and Database-as-a-ServiceDatabase Privacy, Security, and TrustData ScienceData Integration, Metadata Management, and InteroperabilityData Models, Semantics, Query languagesData Mining and Knowledge DiscoveryData Provenance, Workflows, Scientific Data ManagementData Stream Systems and Sensor NetworksData Visualization and Interactive Data ExplorationDistributed, Parallel and P2P Data ManagementHigh Performance Transaction ManagementInformation Extraction, Data Cleaning CurationModern Hardware and In-Memory Database SystemsQuery Processing, Indexing, and OptimizationScalable Analytics, Graph, RDF, Web Data and Social NetworksStrings, Texts, and Keyword SearchTemporal, Spatial, Mobile and Multimedia DataUncertain, Probabilistic and Approximate Databases


2018 13th IEEE Conference on Industrial Electronics and Applications (ICIEA)

Industrial Informatics, Computational Intelligence, Control and Systems, Cyber-physicalSystems, Energy and Environment, Mechatronics, Power Electronics, Signal and InformationProcessing, Network and Communication Technologies


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Periodicals related to Deductive databases

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Computer

Computer, the flagship publication of the IEEE Computer Society, publishes peer-reviewed technical content that covers all aspects of computer science, computer engineering, technology, and applications. Computer is a resource that practitioners, researchers, and managers can rely on to provide timely information about current research developments, trends, best practices, and changes in the profession.


Computers, IEEE Transactions on

Design and analysis of algorithms, computer systems, and digital networks; methods for specifying, measuring, and modeling the performance of computers and computer systems; design of computer components, such as arithmetic units, data storage devices, and interface devices; design of reliable and testable digital devices and systems; computer networks and distributed computer systems; new computer organizations and architectures; applications of VLSI ...


Engineering in Medicine and Biology Magazine, IEEE

Both general and technical articles on current technologies and methods used in biomedical and clinical engineering; societal implications of medical technologies; current news items; book reviews; patent descriptions; and correspondence. Special interest departments, students, law, clinical engineering, ethics, new products, society news, historical features and government.


Engineering Management, IEEE Transactions on

Management of technical functions such as research, development, and engineering in industry, government, university, and other settings. Emphasis is on studies carried on within an organization to help in decision making or policy formation for RD&E.


Geoscience and Remote Sensing, IEEE Transactions on

Theory, concepts, and techniques of science and engineering as applied to sensing the earth, oceans, atmosphere, and space; and the processing, interpretation, and dissemination of this information.


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Most published Xplore authors for Deductive databases

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Xplore Articles related to Deductive databases

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IEE Colloquium on 'Distributed Databases' (Digest No.229)

IEE Colloquium on Distributed Databases, 1992

None


Geometric querying of time-dependent data for data mining in molecular dynamics

2004 International Conference on Cyberworlds, 2004

Temporal databases and data warehouses are essential components of intelligent information systems in cyberworlds. We describe a geometric model for querying time-dependent data in databases and warehouses. An implementation and application of the model for querying of results of numerical simulation in molecular dynamics is discussed. Data are interpreted geometrically as multidimensional points with time dimension. A geometric query is ...


Ontology Merging and Data Schema Integration: An Approach to Identify Semantic Similarity and Resolve Schematic Heterogeneity in Interoperable GIS Application

2009 Ninth International Conference on Intelligent Systems Design and Applications, 2009

Data and information sharing is driven by the need to maintain more accurate and up to date spatial temporal database and at the same time reduce the data acquisition and maintenance costs. This paper discusses the need of a database schema integration and ontology merging to support interoperability GIS applications. This enable translation query from one database schema into another ...


An incremental clustering algorithm based on swarm intelligence theory

Proceedings of 2004 International Conference on Machine Learning and Cybernetics (IEEE Cat. No.04EX826), 2004

Although many clustering algorithms have been proposed so far, they seldom focused on high-dimensional and incremental databases. We present a new type of incremental clustering algorithm, which is based on the swarm intelligence theory. The new type of incremental clustering algorithm implements the clustering process by the actions of clustering agents. The clustering agents, which move in a three-dimensional space, ...


A methodology for automatic retrieval of similarly shaped machinable components

2001 IEEE International Conference on Systems, Man and Cybernetics. e-Systems and e-Man for Cybernetics in Cyberspace (Cat.No.01CH37236), 2001

A methodology that can intelligently search a CAD database of 2.5D machinable components and retrieve components and sub-pieces with similar shape characteristics has been presented. The proposed methodology has the potential to reduce both the development time and cost of new designs by effectively re- using existing designs more efficiently. This is accomplished by searching a database of parts with ...


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Educational Resources on Deductive databases

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IEEE-USA E-Books

  • IEE Colloquium on 'Distributed Databases' (Digest No.229)

    None

  • Geometric querying of time-dependent data for data mining in molecular dynamics

    Temporal databases and data warehouses are essential components of intelligent information systems in cyberworlds. We describe a geometric model for querying time-dependent data in databases and warehouses. An implementation and application of the model for querying of results of numerical simulation in molecular dynamics is discussed. Data are interpreted geometrically as multidimensional points with time dimension. A geometric query is a query solid of any shape specified by its parameters, location and time. These queries are formulated with geometric objects and operations over them to form the query solid. The geometric objects and operations are described with implicit functions. With the uniform geometric model for querying time- dependent data, 3D visualization tools can be naturally incorporated into the molecular dynamics visualization system to pose the queries.

  • Ontology Merging and Data Schema Integration: An Approach to Identify Semantic Similarity and Resolve Schematic Heterogeneity in Interoperable GIS Application

    Data and information sharing is driven by the need to maintain more accurate and up to date spatial temporal database and at the same time reduce the data acquisition and maintenance costs. This paper discusses the need of a database schema integration and ontology merging to support interoperability GIS applications. This enable translation query from one database schema into another to support finally the development of XML-GML based document. Research results shows the potential use of the approaches to solve problems associated with seamless GIS based information sharing.

  • An incremental clustering algorithm based on swarm intelligence theory

    Although many clustering algorithms have been proposed so far, they seldom focused on high-dimensional and incremental databases. We present a new type of incremental clustering algorithm, which is based on the swarm intelligence theory. The new type of incremental clustering algorithm implements the clustering process by the actions of clustering agents. The clustering agents, which move in a three-dimensional space, have the abilities of memory, communication, analysis, judgement, coordination and so on. This new type of incremental clustering algorithm is applicable in periodically incremental environment. Experimental results have shown that this algorithm has many merits such as insensitivity to the order of the data, capability of dealing with the exceptional, high-dimensional and complicated data.

  • A methodology for automatic retrieval of similarly shaped machinable components

    A methodology that can intelligently search a CAD database of 2.5D machinable components and retrieve components and sub-pieces with similar shape characteristics has been presented. The proposed methodology has the potential to reduce both the development time and cost of new designs by effectively re- using existing designs more efficiently. This is accomplished by searching a database of parts with their associated plans and extracting parts of those plans that are required for the query part. These plan parts can subsequently be merged to develop the entire plan for the query part. The methodology utilizes qualitative matrices to represent the spatial relationship between the maximal features of the query component. These feature-spatial relationship pairs are matched against those present in existing components within the database. The query can be relaxed based upon TAH structures that allow for generalizing of features and spatial relationships to allow for the best match to be found if no exact match is found.

  • The Research of Embedded Linux and SQLite Database Application in the Intelligent Monitoring System

    The Lab Intelligent Monitoring System based on S3C2440 ARM microprocessor and embedded Linux has been designed to accomplish the remote monitoring of the parameters and video images of environment in the Laboratory. The embedded database SQLite manages the data collected by sensor networks. A system program based on Qt/Embedded and Linux drivers realizes the local management of environmental data. Build an embedded web server to launch the data of sensor networks and video images to achieve remote monitoring. This paper focuses on the difficult points of the application and realization of embedded database SQLite in the Intelligent Laboratory Monitoring System for the local management and remote release of the data collected by sensor networks and video camera.

  • Fuzzy querying for Microsoft Access

    A fuzzy querying system for Microsoft Access, a Windows-based database management system, is presented. It is based on the authors' FQUERY, already implemented for XBase, which allows the user to employ queries with fuzzy values and relations in the conditions, and also fuzzy linguistic quantifiers (e.g. almost all, most, etc.) to determine how many conditions (e.g. most) are to be fulfilled. Basically, the system was implemented by extending the Query Design Toolbar in the Query Design window, and developing (in Access Basic) a library of functions covering FQUERY's capabilities.<<ETX>>

  • Discovering new knowledge with advanced data mining tool

    In this paper we present the results of an intelligent analysis of database which was gathered during e- learningproject called DISNET [1] in which a random sample of around 300 unemployed people collaborated. The intelligent data analysis using advanced methods for decision tree construction was used in order to try to find the main factors that influence a trainee's progress in knowing how to use e-materials. We also analysed how trainee's gender influences on the usage of e-materials.

  • Efficient browsing in multimedia databases using intelligent agents and content-based retrieval schemes

    An intelligent multimedia system is developed for efficient retrieval and processing of information stored in multimedia databases. Intelligent agents are employed in order to limit the search into minor subsets of the database; a training strategy is introduced for quick browsing in the database contents. Content-based query and retrieval schemes are also employed to increase the effectiveness of the browsing procedure.

  • An Intelligent Clustering Algorithm for 3D Objects Layouts in Storage Systems

    In many virtual environments (VE) applications, the size of the database is not only extremely large, it is also growing rapidly. However, little approaches for discovering object correlations in VE to improve the performance of storage systems. In this paper, we develop a class of view- based projection-generation method for mining various frequent sequential traversal patterns in the VE. The frequent sequential traversal patterns are used to predict the user navigation behavior. Furthermore, the hypergraph (HG)-based clustering scheme can help reduce disk access time with proper placement patterns into disk blocks. Finally, we have done extensive experiments to demonstrate how these proposed techniques not only significantly cut down disk access time, but also enhance the accuracy of data prefetching.



Standards related to Deductive databases

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