Search Results - ACM: H.: Information Systems/H.2: DATABASE MANAGEMENT/H.2.6: Database Machines

Principles of Distributed Database Systems, third edition

Authors: Özsu, Tamer M. Valduriez, Patrick Database Research Group Waterloo et al.

Contributors: Özsu, Tamer M. Valduriez, Patrick Database Research Group Waterloo et al.

Source: https://inria.hal.science/hal-00640392 ; Springer, pp.845, 2011, 978-1-4419-8833-1.

Subject Terms: ACM: H.: Information Systems/H.2: DATABASE MANAGEMENT, ACM: H.: Information Systems/H.2: DATABASE MANAGEMENT/H.2.4: Systems/H.2.4.1: Distributed databases, ACM: H.: Information Systems/H.2: DATABASE MANAGEMENT/H.2.6: Database Machines, [INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB]

Availability: https://inria.hal.science/hal-00640392

Parallel OLAP query processing in database clusters with data replication

Authors: Lima, Alexandre Furtado, Camille Valduriez, Patrick et al.

Contributors: Lima, Alexandre Furtado, Camille Valduriez, Patrick et al.

Source: Distributed and Parallel Databases. 25:97-123

Subject Terms: [INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB], Dynamic load balancing, OLAP query processing · Partial replication, [INFO.INFO-DC] Computer Science [cs]/Distributed, Parallel, and Cluster Computing [cs.DC], 0202 electrical engineering, electronic engineering, information engineering, ACM: H.: Information Systems/H.2: DATABASE MANAGEMENT/H.2.6: Database Machines, [INFO.INFO-DB] Computer Science [cs]/Databases [cs.DB], ACM: E.: Data, Database clusters, Virtual partitioning, 02 engineering and technology, ACM: H.: Information Systems/H.2: DATABASE MANAGEMENT/H.2.4: Systems, Parallel databases

Access URL: https://inria.hal.science/inria-00482183v1
https://link.springer.com/content/pdf/10.1007%2Fs10619-009-7037-8.pdf
https://hal.inria.fr/inria-00482183
https://www-sop.inria.fr/members/Patrick.Valduriez/pmwiki/Patrick/uploads/Publications/LimaDAPD09.pdf
https://link.springer.com/article/10.1007/s10619-009-7037-8
http://portal.acm.org/citation.cfm?id=1519352.1519370
https://dl.acm.org/doi/10.1007/s10619-009-7037-8

Parallel OLAP query processing in database clusters with data replication

Authors: Lima, Alexandre, A. Furtado, Camille Valduriez, Patrick et al.

Contributors: Lima, Alexandre, A. Furtado, Camille Valduriez, Patrick et al.

Source: ISSN: 0926-8782.

Subject Terms: Parallel databases, Database clusters, OLAP query processing · Partial replication, Virtual partitioning, Dynamic load balancing, ACM: E.: Data, ACM: H.: Information Systems/H.2: DATABASE MANAGEMENT/H.2.6: Database Machines, ACM: H.: Information Systems/H.2: DATABASE MANAGEMENT/H.2.4: Systems, [INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB]

Availability: https://inria.hal.science/inria-00482183

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

Automatic Virtual Machine Configuration for Database Workloads.

Authors: SOROR, AHMED A. MINHAS, UMAR FAROOQ ABOULNAGA, ASHRAF et al.

Source: ACM Transactions on Database Systems; Feb2010, Vol. 35 Issue 1, p7-7:47, 47p, 3 Diagrams, 4 Charts, 32 Graphs

Subject Terms: DATABASES, DATABASE searching, MANAGEMENT information systems, DATABASE management, DATABASE design, SQL, ONLINE data processing

Some Considerations about Modern Database Machines.

Authors: Velicanu, Manole Litan, Daniela Mocanu, Aura-Mihaela

Source: Informatica Economica; 2010, Vol. 14 Issue 2, p37-44, 8p, 1 Chart

Subject Terms: DATABASES, COMPUTER systems, DATABASE searching, OLAP technology, ONLINE data processing, PARALLEL processing, INFORMATION resources management

A Unified Log-Based Relevance Feedback Scheme for Image Retrieval.

Authors: Hoi, Steven C. H. Lyu, Michael R. Jin, Rong

Source: IEEE Transactions on Knowledge & Data Engineering; Apr2006, Vol. 18 Issue 4, p509-524, 16p, 3 Black and White Photographs, 4 Diagrams, 6 Charts, 2 Graphs

Subject Terms: INFORMATION storage & retrieval systems, INFORMATION retrieval, ALGORITHMS, DIGITAL image processing, DIGITAL images, LABELING-machines, COREL software, INFORMATION resources management, DATABASE management

Integration testing of object-oriented components using finite state machines.

Authors: Gallagher, Leonard Offutt, Jeff Cincotta, Anthony

Source: Software Testing: Verification & Reliability; Dec2006, Vol. 16 Issue 4, p215-266, 52p, 7 Diagrams, 4 Charts

Subject Terms: SOFTWARE architecture, DATABASE management, COMPUTER network resources, INFORMATION storage & retrieval systems, RELATIONAL databases, FLOWGRAPHS

Calendar of Events.

Source: Communications of the ACM; Sep76, Vol. 19 Issue 9, p531-537, 3p

Subject Terms: CONFERENCES & conventions, MEETINGS, MANAGEMENT information systems, DATABASE management, COMPUTER security, DATABASES

NEWS.

Authors: Grabbe, F. M.

Source: Communications of the ACM; Apr1969, Vol. 12 Issue 4, p241-243, 3p

Subject Terms: CONFERENCES & conventions, MANAGEMENT information systems, INFORMATION storage & retrieval systems, SEMINARS, ELECTRONIC data processing, DATABASE management

Company/Entity: ASSOCIATION for Computing Machinery

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

CALENDAR OF EVENTS.

Source: Communications of the ACM; Jul98, Vol. 41 Issue 7, p119-121, 3p

Subject Terms: CONFERENCES & conventions, SCIENCE, TECHNOLOGY, COMPUTER simulation, INFORMATION resources, DATABASE management

Reviews & Products: COMMUNICATIONS of the ACM (Periodical)

Typed Abstract State Machines for data-intensive applications.

Authors: Schewe, Klaus-Dieter Zhao, Jane

Source: Knowledge & Information Systems; Jun2008, Vol. 15 Issue 3, p381-391, 11p

Subject Terms: DATABASE management, DATA warehousing, INFORMATION storage & retrieval systems, ABSTRACTING & indexing services, MANAGEMENT information systems

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

Acm forum.

Authors: Lynn, M. Stuart Miller, Jooquin Pollack, Philip L. et al.

Source: Communications of the ACM; Apr1983, Vol. 26 Issue 4, p243-324, 3p

Subject Terms: LETTERS to the editor, COBOL (Computer program language), PROGRAMMING languages, SOFTWARE engineering, DATABASE management

Company/Entity: ASSOCIATION for Computing Machinery

Classification-Aware Hidden-Web Text Database Selection.

Authors: Ipeirotis, Panagiotis G. Gravano, Luis

Source: ACM Transactions on Information Systems; Mar2008, Vol. 26 Issue 2, p6:1-6:66, 66p, 4 Diagrams, 22 Charts, 29 Graphs

Subject Terms: ONLINE databases, DATABASE management, WORLD Wide Web, INFORMATION storage & retrieval systems, COMPUTER interfaces, ALGORITHMS, ZIPF'S law, WORD frequency, ENGLISH language

E-business: A New Challenge for Database Management Systems.

Authors: Bouneffa, M. Basson, H. Deruelle, L.

Source: Information & Communications Technology Law; Oct2001, Vol. 10 Issue 3, p299-308, 10p, 5 Diagrams

Subject Terms: DATABASE management, INTERNET industry

Multi-View Memory Support to Operating Systems in Locking for Transaction and Database Systems.

Authors: Bodorik, P. Jutla, D.

Source: Computer Journal; 1998, Vol. 41 Issue 2, p84-97, 14p

Subject Terms: TRANSACTION systems (Computer systems), COMPUTER operating systems, DATABASES, COMPUTER memory management, FINITE state machines, COMPUTER input-output equipment, APPLICATION software

Query Reorganization Algorithms for Efficient Boolean Information Filtering.

Authors: Zervakis, Lefteris Tryfonopoulos, Christos Skiadopoulos, Spiros et al.

Source: IEEE Transactions on Knowledge & Data Engineering; Feb2017, Vol. 29 Issue 2, p418-432, 15p

Subject Terms: QUERY (Information retrieval system), INFORMATION filtering systems, MULTICORE processors, DATA mining, CLUSTER analysis (Statistics)

Natural Language Understanding for Information-Filtering Systems.

Source: Communications of the ACM; Dec1992, Vol. 35 Issue 12, p80-81, 2p

Subject Terms: INFORMATION retrieval, ARTIFICIAL intelligence, INFORMATION resources management, KEYWORD searching, ELECTRONIC information resource searching, COMPUTER science