Journal of Big Data
SCOPUS (2014-2023)SCIE-ISI
2196-1115
Cơ quản chủ quản: Springer Nature , SpringerOpen
Lĩnh vực:
Hardware and ArchitectureInformation SystemsInformation Systems and ManagementComputer Networks and Communications
Các bài báo tiêu biểu
Internet of Things is a revolutionary approach for future technology enhancement: a reviewAbstract Internet of Things (IoT) is a new paradigm that has changed the traditional way of living into a high tech life style. Smart city, smart homes, pollution control, energy saving, smart transportation, smart industries are such transformations due to IoT. A lot of crucial research studies and investigations have been done in order to enhance the technology th... ... hiện toàn bộ
Tập 6 Số 1 - 2019
CatBoost for big data: an interdisciplinary reviewAbstract Gradient Boosted Decision Trees (GBDT’s) are a powerful tool for classification and regression tasks in Big Data. Researchers should be familiar with the strengths and weaknesses of current implementations of GBDT’s in order to use them effectively and make successful contributions. CatBoost is a member of the family of GBDT machine learning ensemble techni... ... hiện toàn bộ
- 2020
An industrial big data pipeline for data-driven analytics maintenance applications in large-scale smart manufacturing facilities
Tập 2 Số 1 - 2015
A review of data mining using big data in health informaticsAbstract
The amount of data produced within Health Informatics has grown to be quite vast, and analysis of this Big Data grants potentially limitless possibilities for knowledge to be gained. In addition, this information can improve the quality of healthcare offered to patients. However, there are a number of issues that arise when dealing with these vas... ... hiện toàn bộ
- 2014
Enlarging smaller images before inputting into convolutional neural network: zero-padding vs. interpolationAbstract The input to a machine learning model is a one-dimensional feature vector. However, in recent learning models, such as convolutional and recurrent neural networks, two- and three-dimensional feature tensors can also be inputted to the model. During training, the machine adjusts its internal parameters to project each feature tensor close to its target. Afte... ... hiện toàn bộ
Tập 6 Số 1 - 2019
A survey and analysis of intrusion detection models based on CSE-CIC-IDS2018 Big DataAbstract The exponential growth in computer networks and network applications worldwide has been matched by a surge in cyberattacks. For this reason, datasets such as CSE-CIC-IDS2018 were created to train predictive models on network-based intrusion detection. These datasets are not meant to serve as repositories for signature-based detection systems, but rather to ... ... hiện toàn bộ
- 2020