Results 21 to 30 of about 263 (155)

Workload‐Aware Performance Tuning for Multimodel Databases Based on Deep Reinforcement Learning

International Journal of Intelligent Systems, Volume 2023, Issue 1, 2023., 2023
Currently, multimodel databases are widely used in modern applications, but the default configuration often fails to achieve the best performance. How to efficiently manage and tune the performance of multimodel databases is still a problem. Therefore, in this study, we present a configuration parameter tuning tool MMDTune+ for ArangoDB.
Jun Sun, Feng Ye, Nadia Nedjah, Ming Zhang, Dong Xu, Yu-an Tan   +5 more
wiley   +1 more source

Health-care databases and its role in transformation of medicine

Journal of the Scientific Society, 2020
Health-care database is a collection of health-care data organized for storage, accessibility, and retrieval. Health-care database serves to replace the paper documents, filing cabinets of old, and file folders, which will be more convenient and ...
Lakshmi Venkata Simhachalam Kutikuppala, S V Venu Gopal Raju, Sadhana Jonna, Tarun Kumar Suvvari, Navya Reddy Veeramreddy   +4 more
doaj   +1 more source

Erenumab dosage for migraine prevention: An evidence‐based narrative review with recommendations

Headache: The Journal of Head and Face Pain, Volume 62, Issue 4, Page 420-435, April 2022., 2022
Abstract Background Therapeutic monoclonal antibodies against the calcitonin gene‐related peptide (CGRP) receptor or its ligand have changed the landscape of treatment options for migraine. Erenumab is the first and only fully human monoclonal antibody designed to target and block the CGRP receptor.
Stewart J. Tepper, Huma U. Sheikh, Carrie O. Dougherty, Stephanie J. Nahas, Paul K. Winner, Ananda Krishna Karanam, Andrew M. Blumenfeld, Ahmad Abdrabboh, Soeren Rasmussen, Jamie L. Weiss, Jessica Ailani   +10 more
wiley   +1 more source

Proposed framework for enhancing integrity technique using distributed query operation [PDF]

BIO Web of Conferences
Database growth and Storage problems are main concern for large and small enterprises nowadays, which significantly influences the efficiency of database applications. Database archiving is one of the solutions available for management.
Farooq Khattak Umar, Alı Aıtızaz, Hussein, Hussein Al Naffakh Ali   +3 more
doaj   +1 more source

[Retracted] Design and Application of Intelligent Management Platform Based on Big Data

Security and Communication Networks, Volume 2022, Issue 1, 2022., 2022
Big data technology has greatly promoted the construction of intelligent administrative management and improved the decision‐making ability continuously. Data mining also lays a solid foundation for the construction of administrative management platform and reflects the potential value of data. In this study, an intelligent management platform based on
Yunuo Su, Minhui Dai, Haoyu Zhou, Hangjun Che   +3 more
wiley   +1 more source

Corpus‐Based Japanese Reading Teaching Database Cloud Service Model

Mathematical Problems in Engineering, Volume 2022, Issue 1, 2022., 2022
With the widespread application of mobile Internet technology, big data, and artificial intelligence, the demand for computing resources in the whole society is growing rapidly. Database cloud service is an online managed high‐availability database service built on a cloud computing platform.
Xiaoying Liu, Naeem Jan
wiley   +1 more source

Translytics: A Novel Approach for Runtime Selection of Database Layout Based on User’s Context

Scientific Programming, Volume 2022, Issue 1, 2022., 2022
Currently, organizations have to maintain separate systems for transactions and analytics inside the company. Notably, different vendors provide the capabilities for either of these tasks that require specialized hardware or software. Data engineers are required to retrieve data from one source and transform it into another format to obtain the maximum
Muhammad Makhshif Tanvir, Muhammad Khuram Shahzad, Muhammad Anwar, Su Man Nam, Sikandar Ali   +4 more
wiley   +1 more source

Development of Data Warehouse for Financial Report in Faculty of Science, Naresuan University

วารสารวิทยาการสารสนเทศและเทคโนโลยีประยุกต์, 2022
Data warehouse technology is useful for managing large data. The purpose of them are analyzing organization’s datasets to formulate a strategy and direction of the organization. In this paper have present method of the development of data warehouse based
Kittipong Songsiri, Kreangsak Tamee
doaj   +1 more source

A Novel Optimized Case-Based Reasoning Approach With K-Means Clustering and Genetic Algorithm for Predicting Multi-Class Workload Characterization in Autonomic Database and Data Warehouse System

IEEE Access, 2020
Data management systems are essential elements for any organization which is dealing with large volume of data now a days. Due to increase in data volume, and its complexities, it has become more challenging job for workload management system to maintain
Nusrat Shaheen, Basit Raza, Ahmad Raza Shahid, Hani Alquhayz   +3 more
doaj   +1 more source

On the Performance of Three In-Memory Data Systems for On Line Analytical Processing [PDF]

Informatică economică, 2017
In-memory database systems are among the most recent and most promising Big Data technologies, being developed and released either as brand new distributed systems or as extensions of old monolith (centralized) database systems.
Ionut HRUBARU, Marin FOTACHE
doaj   +1 more source