Search Results - ACM: H.: Information Systems/H.2: DATABASE MANAGEMENT/H.2.1: Logical Design~

DynamicSchema: a lightweight persistency framework for context-oriented data management

Authors: Castro, Sergio González, Sebastián Mens, Kim et al.

Contributors: Castro, Sergio González, Sebastián Mens, Kim et al.

Source: COP '12 ; https://inria.hal.science/hal-00720348 ; COP '12, ACM, Jun 2012, Beijing, China. pp.5:1--5:6, ⟨10.1145/2307436.2307441⟩

Subject Terms: ACM: H.: Information Systems/H.2: DATABASE MANAGEMENT/H.2.1: Logical Design, ACM: H.: Information Systems/H.1: MODELS AND PRINCIPLES, ACM: H.: Information Systems/H.4: INFORMATION SYSTEMS APPLICATIONS, [INFO.INFO-PL]Computer Science [cs]/Programming Languages [cs.PL]

Subject Geographic: Beijing, China

Availability: https://inria.hal.science/hal-00720348
https://inria.hal.science/hal-00720348v1/document
https://inria.hal.science/hal-00720348v1/file/2012-cop-castro.pdf
https://doi.org/10.1145/2307436.2307441

RDFViewS: A Storage Tuning Wizard for RDF Applications

Authors: Goasdoué, François Karanasos, Konstantinos Leblay, Julien et al.

Contributors: Goasdoué, François Karanasos, Konstantinos Leblay, Julien et al.

Source: ACM International Conference on Information and Knowledge Management ; https://inria.hal.science/inria-00509125 ; ACM International Conference on Information and Knowledge Management, Oct 2010, Toronto, Canada

Subject Terms: RDF Data Management, View Selection, Materialized Views, Query Optimization, RDFS, ACM: H.: Information Systems/H.3: INFORMATION STORAGE AND RETRIEVAL/H.3.4: Systems and Software, ACM: H.: Information Systems/H.2: DATABASE MANAGEMENT/H.2.1: Logical Design, [INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB], [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]

Subject Geographic: Toronto

Time: Toronto, Canada

Relation: info:eu-repo/semantics/altIdentifier/arxiv/1008.2186; ARXIV: 1008.2186

Availability: https://inria.hal.science/inria-00509125
https://inria.hal.science/inria-00509125v1/document
https://inria.hal.science/inria-00509125v1/file/cikm2010-karanasos.pdf

Distributed XML Design

Authors: Abiteboul, Serge Gottlob, Georg Manna, Marco et al.

Contributors: Abiteboul, Serge Gottlob, Georg Manna, Marco et al.

Source: Symposium on Principles of Database Systems (PODS) ; https://hal.inria.fr/inria-00429591 ; Symposium on Principles of Database Systems (PODS), Jun 2009, Providence, United States. ⟨10.1145/1559795.1559833⟩

Subject Terms: ACM: C.: Computer Systems Organization/C.2: COMPUTER-COMMUNICATION NETWORKS/C.2.4: Distributed Systems/C.2.4.2: Distributed databases, ACM: H.: Information Systems/H.2: DATABASE MANAGEMENT/H.2.1: Logical Design/H.2.1.0: Data models, ACM: H.: Information Systems/H.2: DATABASE MANAGEMENT/H.2.1: Logical Design/H.2.1.2: Schema and subschema, [INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB]

Subject Geographic: Providence, United States

Time: Providence, United States

Relation: info:eu-repo/grantAgreement/EC/FP7/226513/EU/Foundations of Web Data Management/WEBDAM; inria-00429591; https://hal.inria.fr/inria-00429591; https://hal.inria.fr/inria-00429591/document; https://hal.inria.fr/inria-00429591/file/p247-abiteboul.pdf

Availability: https://hal.inria.fr/inria-00429591
https://hal.inria.fr/inria-00429591/document
https://hal.inria.fr/inria-00429591/file/p247-abiteboul.pdf
https://doi.org/10.1145/1559795.1559833

Combining a Logical and a Numerical Method for Data Reconciliation

Authors: Saïs, Fatiha Pernelle, Nathalie Rousset, Marie-Christine et al.

Contributors: Saïs, Fatiha Pernelle, Nathalie Rousset, Marie-Christine et al.

Source: Lecture Notes in Computer Science ISBN: 9783642006845

Subject Terms: [INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI], ACM: H.: Information Systems, 0202 electrical engineering, electronic engineering, information engineering, ACM: H.: Information Systems/H.2: DATABASE MANAGEMENT, 02 engineering and technology, ACM: H.: Information Systems/H.2: DATABASE MANAGEMENT/H.2.5: Heterogeneous Databases, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]

File Description: application/pdf

Access URL: http://membres-liglab.imag.fr/rousset/publis/article-JoDsXII.pdf
https://inria.hal.science/inria-00433007v1
https://hal.inria.fr/hal-00953252
https://rd.springer.com/chapter/10.1007%2F978-3-642-00685-2_3
https://hal.inria.fr/inria-00433007/document
https://link.springer.com/chapter/10.1007%2F978-3-642-00685-2_3
https://dblp.uni-trier.de/db/journals/jods/jods12.html#SaisPR09
https://doi.org/10.1007/978-3-642-00685-2_3

Author manuscript, published in 'ACM International Conference on Information and Knowledge Management, Toronto: Canada (2010)' RDFViewS: A Storage Tuning Wizard for RDF Applications ∗

Authors: François Goasdoué Konstantinos Karanasos Julien Leblay et al.

Contributors: François Goasdoué Konstantinos Karanasos Julien Leblay et al.

Source: http://hal.inria.fr/docs/00/50/91/25/PDF/cikm2010-karanasos.pdf.

Subject Terms: Categories and Subject Descriptors, H.3.4 Information Storage And Retrieval, Systems and Software, H.2.1 Database Management, Logical Design General Terms, Algorithms, Design, Performance Keywords, RDF Data Management, View Selection, Materialized Views, Query Optimization, RDFS

File Description: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.230.562

Availability: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.230.562
http://hal.inria.fr/docs/00/50/91/25/PDF/cikm2010-karanasos.pdf

I/O Reference Behavior of Production Database Workloads and the TPC Benchmarks -- An Analysis at the Logical Level.

Authors: Hsu, Windsor W. Smith, Alan Jay Young, Honesty C.

Source: ACM Transactions on Database Systems; Mar2001, Vol. 26 Issue 1, p96-143, 48p

Subject Terms: ARTIFICIAL intelligence, BENCHMARKING (Management), DATABASE management, ONLINE data processing, DECISION support systems, INFORMATION storage & retrieval systems

Query-oriented Summarization of RDF Graphs

Authors: Čebirić, Šejla Goasdoué, François Manolescu, Ioana et al.

Contributors: Čebirić, Šejla Goasdoué, François Manolescu, Ioana et al.

Source: Data Engineering Meets Semantic Web Workshop (DESWeb) ; https://inria.hal.science/hal-01179484 ; Data Engineering Meets Semantic Web Workshop (DESWeb), Apr 2015, Seoul, South Korea ; http://desweb2015.imis.athena-innovation.gr

Subject Terms: Semantic Web, summarization, RDF data manipulation, RDF Data Management, ACM: H.: Information Systems/H.2: DATABASE MANAGEMENT, ACM: H.: Information Systems/H.2: DATABASE MANAGEMENT/H.2.3: Languages, ACM: H.: Information Systems/H.2: DATABASE MANAGEMENT/H.2.1: Logical Design, [INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB]

Subject Geographic: Seoul, South Korea

Availability: https://inria.hal.science/hal-01179484

RDF Analytics: Lenses over Semantic Graphs

Authors: Colazzo, Dario Goasdoué, François Manolescu, Ioana et al.

Contributors: Colazzo, Dario Goasdoué, François Manolescu, Ioana et al.

Source: 23rd International World Wide Web Conference
https://inria.hal.science/hal-00960609
23rd International World Wide Web Conference, Apr 2014, Seoul, South Korea. ⟨10.1145/2566486.2567982⟩

Subject Terms: RDF, data warehouse, OLAP, ACM: H.: Information Systems/H.2: DATABASE MANAGEMENT/H.2.1: Logical Design, ACM: H.: Information Systems/H.2: DATABASE MANAGEMENT/H.2.7: Database Administration/H.2.7.1: Data warehouse and repository, [INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB]

Subject Geographic: Seoul, South Korea

Availability: https://inria.hal.science/hal-00960609
https://inria.hal.science/hal-00960609/document
https://inria.hal.science/hal-00960609/file/paper.pdf
https://doi.org/10.1145/2566486.2567982

Reportonthe Second ACM Workshop on Hot Topics in Software Upgrades (HotSWUp’09)

Authors: Iulian Neamtiu Eli Tilevich The Pennsylvania State University CiteSeerX Archives

Contributors: Iulian Neamtiu Eli Tilevich The Pennsylvania State University CiteSeerX Archives

Source: http://www.cs.ucr.edu/~neamtiu/pubs/sigops10dumitras.pdf.

Subject Terms: Operating Systems, Organization and Design, H.2.1 [Database Management, Logical Design, K.6.3 [Management of Computing and Information Systems

File Description: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.295.4719; http://www.cs.ucr.edu/~neamtiu/pubs/sigops10dumitras.pdf

Availability: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.295.4719
http://www.cs.ucr.edu/~neamtiu/pubs/sigops10dumitras.pdf

Database Design with Common Sense Business Reasoning and Learning.

Authors: Storey, Veda C. Chiang, Roger H. L. Dey, Debabrata et al.

Source: ACM Transactions on Database Systems; Dec98, Vol. 22 Issue 4, p471-512, 42p, 3 Black and White Photographs, 3 Diagrams, 8 Charts, 1 Graph

Subject Terms: DATABASE design, DATABASE management, SYSTEMS design, ENTITY-relationship modeling, INFORMATION modeling, APPLICATION software

Self-tuning Database Systems: A Systematic Literature Review of Automatic Database Schema Design and Tuning.

Authors: Mozaffari, Maryam Dignös, Anton Gamper, Johann et al.

Source: ACM Computing Surveys; Nov2024, Vol. 56 Issue 11, p1-37, 37p

Subject Terms: ARTIFICIAL intelligence, DATABASE management, DATABASE design, DATABASES, MODELING languages (Computer science), KNAPSACK problems, EVOLUTIONARY algorithms

PHYSICAL DESIGN: EQUIVALENCIES IN DATABASE CONVERSION.

Authors: Gillenson, Mark L. Sibley, Edgar H.

Source: Communications of the ACM; Aug1990, Vol. 33 Issue 8, p120-131, 12p, 8 Diagrams

Subject Terms: DATABASE design, DATABASE management

FOREIGN KEYS DECREASE ADAPTABILITY OF DATABASE DESIGNS.

Authors: Sibley, Edgar H. Wilmot, Richard B.

Source: Communications of the ACM; Dec1984, Vol. 27 Issue 12, p1237-1243, 7p, 12 Diagrams

Subject Terms: DATABASE design, DATABASE management, SYSTEMS design, ELECTRONIC data processing, DATABASES, INFORMATION science

Investigating the Relationship Between SLOC and Logical Database Measures to Improve the Early Estimation of Software Cost.

Authors: Tokdemir, Gul Cagiltay, Nergiz Ercil

Source: International Journal of Software Engineering & Knowledge Engineering; Mar2019, Vol. 29 Issue 3, p401-413, 13p

Subject Terms: DATABASE design, DATABASE management software, COMPUTER software, SYSTEMS software, COMPUTER software development

On the Complexity of Managing Probabilistic XML Data

Authors: Senellart, Pierre Abiteboul, Serge Integration of data and knowledge distributed over the web (GEMO) et al.

Contributors: Senellart, Pierre Abiteboul, Serge Integration of data and knowledge distributed over the web (GEMO) et al.

Source: Principles Of Database Systems ; https://inria.hal.science/inria-00137138 ; Principles Of Database Systems, Jun 2007, Beijing/China

Subject Terms: XML, probabilistic databases, semi-structured databases, complexity, ACM: H.: Information Systems/H.2: DATABASE MANAGEMENT/H.2.1: Logical Design, ACM: F.: Theory of Computation/F.2: ANALYSIS OF ALGORITHMS AND PROBLEM COMPLEXITY/F.2.0: General, [INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB]

Availability: https://inria.hal.science/inria-00137138
https://inria.hal.science/inria-00137138v2/document
https://inria.hal.science/inria-00137138v2/file/pods102-senellart.pdf

A Case Study in Tourism Database Logical Design.

Authors: Jim Chen Corprew, James C.

Source: Academic Forum Conference Proceedings; Jun2015, pTAF000006-TAF000006, 1p

Subject Terms: DATABASE design, RELATIONAL databases, PROGRAMMING languages, HOSPITALITY industry

Computer-Aided Analysis and Design of Information Systems.

Authors: Nunamaker Jr., J.F. Konsynski Jr., Benn R. Ho, Thomas et al.

Source: Communications of the ACM; Dec1976, Vol. 19 Issue 12, p674-687, 14p, 8 Diagrams, 1 Chart

Subject Terms: COMPUTER-aided design, INFORMATION resources management

The Evolution of Storage Structures.

Authors: Bachman, Charles W.

Source: Communications of the ACM; Jul1972, Vol. 15 Issue 7, p628-634, 7p, 11 Diagrams

Subject Terms: DATABASE management software, ELECTRONIC data processing, DATABASES, INFORMATION storage & retrieval systems, DATABASE administration, DATA structures, ELECTRONIC file management, COMPUTER systems, INFORMATION services

The Role of Domain Ontologies in Database Design: An Ontology Management and Conceptual Modeling Environment.

Authors: Sugumaran, Vijayan Storey, Veda C.

Source: ACM Transactions on Database Systems; Sep2006, Vol. 31 Issue 3, p1064-1094, 31p

Subject Terms: DATABASE design, ONTOLOGY, SYSTEMS design, DATABASE management, ELECTRONIC information resources, ENTITY-relationship modeling, INFORMATION modeling

1. American Heart Association. (2021). Heart disease and stroke statistics—2021 update. Circulation, 143(8), e254-e743. 2. Rahman, M., Al Amin, M., Hasan, R., Hossain, S. T., Rahman, M. H., & Rashed, R. A. M. (2025). A Predictive AI Framework for Cardiovascular Disease Screening in the US: Integrating EHR Data with Machine and Deep Learning Models. British Journal of Nursing Studies, 5(2), 40-48. 3. ZakirHossain, M., Khan, M. M., Thapa, S., Uddin, R., Meem, E. J., Niloy, S. K., ... & Bhavani, G. D. (2025, February). Advanced Deep Learning Techniques for Precision Diagnosis of Tea Leaf Diseases. In 2025 IEEE International Conference on Emerging Technologies and Applications (MPSec ICETA) (pp. 1-6). IEEE. 4. Chen, T., & Guestrin, C. (2016). XGBoost: A scalable tree boosting system. In Proceedings of the 22nd ACM SIGKDD international conference on knowledge discovery and data mining (pp. 785-794). ACM. 5. Damen, J. A., Hooft, L., Schuit, E., Debray, T. P., Collins, G. S., Tzoulaki, I., Lassale, C. M., Siontis, G. C., Chiocchia, V., Roberts, C., Schlüssel, M. M., Gerry, S., Black, J. A., Heus, P., van der Schouw, Y. T., Peelen, L. M., & Moons, K. G. (2016). Prediction models for cardiovascular disease risk in the general population: systematic review. BMJ, 353, i2416. 6. Framingham Heart Study. (1948). Framingham Heart Study cohort research data. National Heart, Lung, and Blood Institute. 7. Johnson, A. E., Pollard, T. J., Shen, L., Lehman, L. H., Feng, M., Ghassemi, M., Moody, B., Szolovits, P., Celi, L. A., & Mark, R. G. (2016). MIMIC-III, a freely accessible critical care database. Scientific Data, 3, 160035. 8. Krittanawong, C., Zhang, H., Wang, Z., Aydar, M., & Kitai, T. (2017). Artificial intelligence in precision cardiovascular medicine. Journal of the American College of Cardiology, 69(21), 2657-2664. 9. Lundberg, S. M., & Lee, S. I. (2017). A unified approach to interpreting model predictions. In Advances in Neural Information Processing Systems 30 (NIPS 2017) (pp. 4765-4774). 10. Pedregosa, F., Varoquaux, G., Gramfort, A., Michel, V., Thirion, B., Grisel, O., Blondel, M., Prettenhofer, P., Weiss, R., Dubourg, V., Vanderplas, J., Passos, A., Cournapeau, D., Brucher, M., Perrot, M., & Duchesnay, É. (2011). Scikit-learn: Machine learning in Python. Journal of Machine Learning Research, 12, 2825–2830. 11. Shameer, K., Johnson, K. W., Glicksberg, B. S., Dudley, J. T., & Sengupta, P. P. (2018). Machine learning in cardiovascular medicine: are we there yet? Heart, 104(14), 1156-1164. 12. Steyerberg, E. W., Vergouwe, Y., & van Calster, B. (2019). Towards better clinical prediction models: seven steps for development and an ABCD for validation. European Heart Journal, 40(15), 1255–1264. 13. Sudlow, C., Gallacher, J., Allen, N., Beral, V., Burton, P., Danesh, J., Downey, P., Elliott, P., Green, J., Landray, M., Liu, B., Matthews, P., Ong, G., Pell, J., Silman, A., Young, A., Sprosen, T., Peakman, T., & Collins, R. (2015). UK biobank: an open access resource for identifying the causes of a wide range of complex diseases of middle and old age. PLOS Medicine, 12(3), e1001779. 14. Weng, S. F., Reps, J., Kai, J., Garibaldi, J. M., & Qureshi, N. (2017). Can machine-learning improve cardiovascular risk prediction using routine clinical data? PLOS ONE, 12(4), e0174944. 15. World Health Organization. (2021). Cardiovascular diseases (CVDs). Retrieved from https://www.who.int/news-room/fact-sheets/detail/cardiovascular-diseases-(cvds) 16. Abadi, M., Barham, P., Chen, J., Chen, Z., Davis, A., Dean, J., Devin, M., Ghemawat, S., Irving, G., Isard, M., Kudlur, M., Levenberg, J., Monga, R., Moore, S., Murray, D. G., Steiner, B., Tucker, P., Vasudevan, V., Warden, P., ... Zheng, X. (2016). TensorFlow: A system for large-scale machine learning. In 12th USENIX symposium on operating systems design and implementation (OSDI 16) (pp. 265–283). 17. Chollet, F. (2015). Keras (Version 2.4.0) [Computer software]. https://github.com/fchollet/keras

Authors: Okunola, Abiodun