Journal of Big Data

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iiHadoop: an asynchronous distributed framework for incremental iterative computations
Journal of Big Data - Tập 4 - Trang 1-30 - 2017
Afaf G. Bin Saadon, Hoda M. O. Mokhtar
It is true that data is never static; it keeps growing and changing over time. New data is added and old data can either be modified or deleted. This incremental nature of data motivates the development of new systems to perform large-scale data computations incrementally. MapReduce was recently introduced to provide an efficient approach for handling large-scale data computations. Nevertheless, i...... hiện toàn bộ
On the sustainability of smart and smarter cities in the era of big data: an interdisciplinary and transdisciplinary literature review
Journal of Big Data - Tập 6 - Trang 1-64 - 2019
Simon Elias Bibri
There has recently been a conscious push for cities across the globe to be smart and even smarter and thus more sustainable by developing and implementing big data technologies and their applications across various urban domains in the hopes of reaching the required level of sustainability and improving the living standard of citizens. Having gained momentum and traction as a promising response to...... hiện toàn bộ
Big data driven co-occurring evidence discovery in chronic obstructive pulmonary disease patients
Journal of Big Data - Tập 4 - Trang 1-18 - 2017
Christopher Baechle, Ankur Agarwal, Xingquan Zhu
Chronic Obstructive Pulmonary Disease (COPD) is a chronic lung disease that affects airflow to the lungs. Discovering the co-occurrence of COPD with other diseases, symptoms, and medications is invaluable to medical staff. Building co-occurrence indexes and finding causal relationships with COPD can be difficult because often times disease prevalence within a population influences results. A metho...... hiện toàn bộ
Selecting critical features for data classification based on machine learning methods
Journal of Big Data - Tập 7 - Trang 1-26 - 2020
Rung-Ching Chen, Christine Dewi, Su-Wen Huang, Rezzy Eko Caraka
Feature selection becomes prominent, especially in the data sets with many variables and features. It will eliminate unimportant variables and improve the accuracy as well as the performance of classification. Random Forest has emerged as a quite useful algorithm that can handle the feature selection issue even with a higher number of variables. In this paper, we use three popular datasets with a ...... hiện toàn bộ
Big data actionable intelligence architecture
Journal of Big Data - Tập 7 - Trang 1-19 - 2020
Tian J. Ma, Rudy J. Garcia, Forest Danford, Laura Patrizi, Jennifer Galasso, Jason Loyd
The amount of data produced by sensors, social and digital media, and Internet of Things (IoTs) are rapidly increasing each day. Decision makers often need to sift through a sea of Big Data to utilize information from a variety of sources in order to determine a course of action. This can be a very difficult and time-consuming task. For each data source encountered, the information can be redundan...... hiện toàn bộ
Regularized Simple Graph Convolution (SGC) for improved interpretability of large datasets
Journal of Big Data - Tập 7 - Trang 1-17 - 2020
Phuong Pho, Alexander V. Mantzaris
Classification of data points which correspond to complex entities such as people or journal articles is a ongoing research task. Notable applications are recommendation systems for customer behaviors based upon their features or past purchases and in academia labeling relevant research papers in order to reduce the reading time required. The features that can be extracted are many and result in l...... hiện toàn bộ
Evaluating partitioning and bucketing strategies for Hive-based Big Data Warehousing systems
Journal of Big Data - - 2019
Eric Costa, Carlos Costa, Maribel Yasmina Santos
Improving lookup and query execution performance in distributed Big Data systems using Cuckoo Filter
Journal of Big Data - Tập 9 - Trang 1-30 - 2022
Sharafat Ibn Mollah Mosharraf, Muhammad Abdullah Adnan
Performance is a critical concern when reading and writing data from billions of records stored in a Big Data warehouse. We introduce two scopes for query performance improvement. One is to improve the performance of lookup queries after data deletion in Big Data systems that use Eventual Consistency. We propose a scheme to improve lookup performance after data deletion by using Cuckoo Filter. Ano...... hiện toàn bộ
Assessing survival time of heart failure patients: using Bayesian approach
Journal of Big Data - Tập 8 - Trang 1-18 - 2021
Tafese Ashine, Geremew Muleta, Kenenisa Tadesse
Heart failure is a failure of the heart to pump blood with normal efficiency and a globally growing public health issue with a high death rate all over the world, including Ethiopia. The goal of this study was to identify factors affecting the survival time of heart failure patients. To achieve the aim, 409 heart failure patients were included in the study based on data taken from medical records ...... hiện toàn bộ
An improved deep hashing model for image retrieval with binary code similarities
Journal of Big Data - Tập 11 Số 1
Huawen Liu, Zongda Wu, Minghao Yin, Dunshan Yu, Xiaoyan Zhu, Jungang Lou
AbstractThe exponential growth of data raises an unprecedented challenge in data analysis: how to retrieve interesting information from such large-scale data. Hash learning is a promising solution to address this challenge, because it may bring many potential advantages, such as extremely high efficiency and low storage cost, after projecting high-dimensional data ...... hiện toàn bộ
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