Data mining in time series databases / by Last, Mark, Kandel, Abraham, Bunke, Horst

PhilDB: the time series database with built-in change logging by Andrew MacDonald

“…PhilDB is an open-source time series database that supports storage of time series datasets that are dynamic; that is, it records updates to existing values in a log as they occur. …”
Get full text

EdgeDB: An Efficient Time-Series Database for Edge Computing by Yang Yang, Qiang Cao, Hong Jiang

Subjects: “…Time-series database…”
Get full text

A New NVM Device Driver for IoT Time Series Database by Tao Cai, Yueming Ma, Peiyao Liu, Dejiao Niu, Lei Li

Subjects: Get full text

NagareDB: A Resource-Efficient Document-Oriented Time-Series Database by Carlos Garcia Calatrava, Yolanda Becerra Fontal, Fernando M. Cucchietti, Carla Diví Cuesta

Subjects: “…time series database…”
Get full text

Design and performance test of USV information management system based on time-series database by Huang Yi, Wang Hongdong, Cheng Fengrui, Liang Xiaofeng, Yi Hong

Subjects: Get full text

A Holistic Scalability Strategy for Time Series Databases Following Cascading Polyglot Persistence by Carlos Garcia Calatrava, Yolanda Becerra Fontal, Fernando M. Cucchietti

Subjects: “…time series database…”
Get full text

Multiple time series database on microservice architecture for IoT-based sleep monitoring system by Eko Simanjuntak, Nico Surantha

Subjects: Get full text

Full Model Selection Problem and Pipelines for Time-Series Databases: Contrasting Population-Based and Single-point Search Metaheuristics by Nancy Pérez-Castro, Héctor Gabriel Acosta-Mesa, Efrén Mezura-Montes, Nicandro Cruz-Ramírez

“…Multiple experiments are carried out to analyze the performance of each approach in ten time-series databases. The final results suggest that the µ-DE approach with rand/1/bin variant is useful to find competitive pipelines without sacrificing performance, whereas a local search with binary encoding achieves the lowest misclassification error rates but has the highest computational cost during the training stage.…”
Get full text

TimeSpec4LULC: a global multispectral time series database for training LULC mapping models with machine learning by R. Khaldi, R. Khaldi, R. Khaldi, D. Alcaraz-Segura, D. Alcaraz-Segura, D. Alcaraz-Segura, E. Guirado, Y. Benhammou, Y. Benhammou, A. El Afia, F. Herrera, S. Tabik

Get full text

Using application benchmark call graphs to quantify and improve the practical relevance of microbenchmark suites by Martin Grambow, Christoph Laaber, Philipp Leitner, David Bermbach

Subjects: Get full text

Dynamic Configurable Write-Ahead Logging Framework for Memory Table by ZHU Haiming, HUANG Xiangdong, QIAO Jialin, WANG Jianmin

Subjects: “…write-ahead logging (wal); redo log; log-structured merge-tree (lsm); time series database…”
Get full text

Underground location service system design by DU Zhigang, CHU Nan, LUO Ke

Subjects: Get full text

Dataset of companies’ profitability, government debt, financial statements' key indicators and earnings in an emerging market: Developing a panel and time series database of value-added tax rate increase impacts [version 1; peer review: 2 approved] by Ebrahim Al-Matari, Mahfoudh Mgammal

Get full text

Analyzing I/O Characteristics of Time-Series Data Using High Performance Storage Devices by Sangmyung Lee, Yongseok Son, Sunggon Kim

“…To handle this, time-series database systems, which specially target time-series data, are emerging. …”
Get full text

Introducing Polyglot-Based Data-Flow Awareness to Time-Series Data Stores by Carlos Garcia Calatrava, Yolanda Becerra, Fernando M. Cucchietti

“…As a consequence of this sensor and IoT boom, Time-Series databases (TSDB), designed to manage sensor data, became the fastest-growing database category since 2019. …”
Get full text

The evolution of the ALICE O2 monitoring system by Wegrzynek Adam, Vino Gioacchino

“…In addition, Telegraf provides operating system sensors, InfluxDB is used as a time-series database, Grafana as a visualisation tool. The above tool selection evolved from the initial version where collectD was used instead of Telegraf, and Apache Flume together with Apache Spark instead of Apache Kafka.…”
Get full text

Implementation of the Pareto principle in focus group generation based on global coronavirus disease morbidity and mortality rates by Mostafa Essam Eissa, Engy Refaat Rashed, Dalia Essam Eissa

“…In this article, we have provided a new simplified insight into the 2019 coronavirus disease (COVID-19) using the Pareto principle to highlight the main contributors to morbidity and mortality. A time series database of confirmed cumulative cases and deaths for all countries was processed from the Humanitarian Data Exchange website provided by the United Nations Office for the Coordination of Humanitarian Affairs. …”
Get full text

Research of distributed performance testing and monitoring system for DNS based on Promethus by Huang Bing, Wu Yunfeng, Zhang Kaixin, Han Qingmin, Zhang Jiufa, Chai Chuchu

“…Based on the Promethus time series database, this paper designs and implements a distributed automatic test and monitoring system for response performance of domain name system. …”
Get full text

Identification of epilepsy utilizing hilbert transform and SVM based classifier by Talal M Bakhsh, Saeed Meshgini, Ali Farzamnia

“…We have used five sets of EEG signals which are publicly accessible on EEG time series database. The evaluation and comparison of SVM based classifier with two other classification methods such as KNN and LVQ based classifier was done.…”
Get full text