Journal of Big Data
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Sensor data quality: a systematic review
Journal of Big Data - Tập 7 - Trang 1-49 - 2020
Sensor data quality plays a vital role in Internet of Things (IoT) applications
as they are rendered useless if the data quality is bad. This systematic review
aims to provide an introduction and guide for researchers who are interested in
quality-related issues of physical sensor data. The process and results of the
systematic review are presented which aims to answer the following research
quest...
Impact of reviewer social interaction on online consumer review fraud detection
Journal of Big Data - Tập 4 - Trang 1-19 - 2017
Online consumer reviews have become a baseline for new consumers to try out a
business or a new product. The reviews provide a quick look into the application
and experience of the business/product and market it to new customers. However,
some businesses or reviewers use these reviews to spread fake information about
the business/product. The fake information can be used to promote a relatively
av...
An intelligent Alzheimer’s disease diagnosis method using unsupervised feature learning
Journal of Big Data - Tập 6 - Trang 1-16 - 2019
Today, the diagnosis of Alzheimer’s disease (AD) or mild cognitive impairment
(MCI) has attracted the attention of researchers in this field owing to the
increase in the occurrence of the diseases and the need for early diagnosis.
Unfortunately, the nature of high dimension of neural data and few available
samples led to the creation of a precise computer diagnostic system. Machine
learning techni...
HaRD: a heterogeneity-aware replica deletion for HDFS
Journal of Big Data - Tập 6 - Trang 1-21 - 2019
The Hadoop distributed file system (HDFS) is responsible for storing very large
data-sets reliably on clusters of commodity machines. The HDFS takes advantage
of replication to serve data requested by clients with high throughput. Data
replication is a trade-off between better data availability and higher disk
usage. Recent studies propose different data replication management frameworks
that alte...
Rating prediction of peer-to-peer accommodation through attributes and topics from customer review
Journal of Big Data - Tập 8 - Trang 1-29 - 2021
This study aims to predict customers’ behavior in classifying their reviews as
high rated or low rated using associated attributes and topics found in the
review. Knowing customer reviewing action better can lead to a successful
strategy implementation of the relevant parties related to this study such as
policy to manage customer reviews by keeping their satisfaction high. We applied
a big data a...
A graph-based big data optimization approach using hidden Markov model and constraint satisfaction problem
Journal of Big Data - Tập 8 - Trang 1-29 - 2021
To address the challenges of big data analytics, several works have focused on
big data optimization using metaheuristics. The constraint satisfaction problem
(CSP) is a fundamental concept of metaheuristics that has shown great efficiency
in several fields. Hidden Markov models (HMMs) are powerful machine learning
algorithms that are applied especially frequently in time series analysis.
However,...
Using Big Data-machine learning models for diabetes prediction and flight delays analytics
Journal of Big Data - Tập 7 - Trang 1-18 - 2020
Nowadays large data volumes are daily generated at a high rate. Data from health
system, social network, financial, government, marketing, bank transactions as
well as the censors and smart devices are increasing. The tools and models have
to be optimized. In this paper we applied and compared Machine Learning
algorithms (Linear Regression, Naïve bayes, Decision Tree) to predict diabetes.
Further ...
Summarizing large text collection using topic modeling and clustering based on MapReduce framework
Journal of Big Data - Tập 2 - Trang 1-18 - 2015
Document summarization provides an instrument for faster understanding the
collection of text documents and has a number of real life applications.
Semantic similarity and clustering can be utilized efficiently for generating
effective summary of large text collections. Summarizing large volume of text is
a challenging and time consuming problem particularly while considering the
semantic similari...
An enhanced random forest approach using CoClust clustering: MIMIC-III and SMS spam collection application
Journal of Big Data - Tập 10 Số 1
AbstractThe random forest algorithm could be enhanced and produce better results
with a well-designed and organized feature selection phase. The dependency
structure between the variables is considered to be the most important criterion
behind selecting the variables to be used in the algorithm during the feature
selection phase. As the dependency structure is mostly nonlinear, making use of
a too...
Prediction of flight departure delays caused by weather conditions adopting data-driven approaches
Journal of Big Data -
AbstractIn this study, we utilize data-driven approaches to predict flight
departure delays. The growing demand for air travel is outpacing the capacity
and infrastructure available to support it. In addition, abnormal weather
patterns caused by climate change contribute to the frequent occurrence of
flight delays. In light of the extensive network of international flights
covering vast distances ...
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