1,126 resources related to Deductive databases
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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.
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.
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.
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
Industrial Informatics, Computational Intelligence, Control and Systems, Cyber-physicalSystems, Energy and Environment, Mechatronics, Power Electronics, Signal and InformationProcessing, Network and Communication Technologies
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.
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 ...
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.
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.
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.
IEE Colloquium on Distributed Databases, 1992
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 ...
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 ...
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, ...
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 ...
Ronald Fagin: 2012 IEEE Computer Society W. Wallace McDowell Award Winner
Time-series Workloads and Implications for Time-series Databases - Michael Freedman - IEEE Sarnoff Symposium, 2019
A perspective shift from Fuzzy logic to Neutrosophic Logic - Swati Aggarwal
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.
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.
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 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 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.
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>>
In this paper we present the results of an intelligent analysis of database which was gathered during e- learningproject called DISNET  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.
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.
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.
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