Credit card fraud detection using machine learning: a study
P Tiwari, S Mehta, N Sakhuja, J Kumar… - arXiv preprint arXiv …, 2021 - arxiv.org
As the world is rapidly moving towards digitization and money transactions are becoming
cashless, the use of credit cards has rapidly increased. The fraud activities associated with it …
cashless, the use of credit cards has rapidly increased. The fraud activities associated with it …
Data security and privacy in cloud computing: concepts and emerging trends
Millions of users across the world leverages data processing and sharing benefits from
cloud environment. Data security and privacy are inevitable requirement of cloud …
cloud environment. Data security and privacy are inevitable requirement of cloud …
Performance analysis of machine learning centered workload prediction models for cloud
The precise estimation of resource usage is a complex and challenging issue due to the
high variability and dimensionality of heterogeneous service types and dynamic workloads …
high variability and dimensionality of heterogeneous service types and dynamic workloads …
PCA-RF: an efficient Parkinson's disease prediction model based on random forest classification
In this modern era of overpopulation disease prediction is a crucial step in diagnosing
various diseases at an early stage. With the advancement of various machine learning …
various diseases at an early stage. With the advancement of various machine learning …
HiSA-SMFM: historical and sentiment analysis based stock market forecasting model
One of the pillars to build a country's economy is the stock market. Over the years, people
are investing in stock markets to earn as much profit as possible from the amount of money …
are investing in stock markets to earn as much profit as possible from the amount of money …
A bio-inspired virtual machine placement toward sustainable cloud resource management
Virtual machine placement (VMP) is the process of selecting the most appropriate physical
machine (PM) to place users' requested virtual machine (VM) in large cloud data centers …
machine (PM) to place users' requested virtual machine (VM) in large cloud data centers …
An AI-driven VM threat prediction model for multi-risks analysis-based cloud cybersecurity
Cloud virtualization technology, ingrained with physical resource sharing, prompts
cybersecurity threats on users' virtual machines (VMs) due to the presence of inevitable …
cybersecurity threats on users' virtual machines (VMs) due to the presence of inevitable …
OFP-TM: an online VM failure prediction and tolerance model towards high availability of cloud computing environments
The indispensable collaboration of cloud computing in every digital service has raised its
resource usage exponentially. The ever-growing demand of cloud resources evades service …
resource usage exponentially. The ever-growing demand of cloud resources evades service …
Mlrm: A multiple linear regression based model for average temperature prediction of a day
Weather is a phenomenon that affects everything and everyone around us on a daily basis.
Weather prediction has been an important point of study for decades as researchers have …
Weather prediction has been an important point of study for decades as researchers have …
A high availability management model based on VM significance ranking and resource estimation for cloud applications
Massive upsurge in cloud resource usage stave off service availability resulting into
outages, resource contention, and excessive power-consumption. The existing approaches …
outages, resource contention, and excessive power-consumption. The existing approaches …