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Results: 11
Credit Card Fraud Prediction Using XGBoost
With the development of technology, the internet and eCommerce online payment has become an essential mode of payment. Nowadays, credit card payment is a convenient mode of payment online as well as offline transactions. As...
Published by: IGI Global
Multi-Objective Optimization-Oriented Resource Allocation in the Fog Environment
Fog computing is a decentralized computer system where data, processing, storage, as well as applications are located anywhere between the cloud and data source. Fog computing takes the cloud closer to users, decreasing the...
Published by: IGI Global
Sorting Out Fuzzy Transportation Problems via ECCT and Standard Deviation
A well-organized arithmetical procedure entitled standard deviation is employed to find the optimum solution in this paper. This technique has been divided into two parts. The first methodology deals with constructing the entire...
Published by: IGI Global
A Novel Fuzzy Logic-Based Improved Cuckoo Search Algorithm
Cuckoo Search (CS) algorithm is a nature-inspired optimization algorithm (NIOA) with less control parameters that is stable, versatile, and easy to implement. CS has good global search capabilities, but it is prone to local...
Published by: IGI Global
Color Image Contrast Enhancement Using Modified Firefly Algorithm
The image enhancement process is used for improving the standard of the image, it's inspired by the development of human perception pictorial information. Increasing the contrast of the image, removing the unwanted noise from...
Published by: IGI Global
Wearable Devices Data for Activity Prediction Using Machine Learning Algorithms
Wearable devices are contributing heavily towards the proliferation of data and creating a rich minefield for data analytics. Recent trends in the design of wearable devices include several embedded sensors which also provide...
Published by: IGI Global
Wearable Devices Data for Activity Prediction Using Machine Learning Algorithms
Wearable devices are contributing heavily towards the proliferation of data and creating a rich minefield for data analytics. Recent trends in the design of wearable devices include several embedded sensors which also provide...
Published by: IGI Global
Shopper Segmentation Using Multivariate Risk Analysis for Innovative Marketing Strategies
Shopper buying behaviour is essential for the retailers to segment the shoppers in accordance to their disruptive attitude and perception for better innovative strategies which may lead to higher profits. The major purpose of...
Published by: IGI Global
A Parallel Particle Swarm Optimization for Community Detection in Large Attributed Graphs
Social network analysis (SNA) is an active research domain that mainly deals with large social graphs and their properties. Community detection (CD) is one of the active research topics belonging to this domain. Social graphs in...
Published by: IGI Global
Predicting Inpatient Status for the Next 30/60/90 Days With Machine Learning
In this paper, we report the development of machine learning techniques which can help hospital authorities assess a patients' medical condition and also calculate the probability of readmission of the patient as inpatient, and...
Published by: IGI Global
Data Analytic Techniques for Developing Decision Support System on Agrometeorological Parameters for Farmers
The day-to-day lives of humans are changing remarkably due to the evolution in tools, techniques and technology across the planet. This evolution is not only impacting the growth of humans but also contributing to the growth and...
Published by: IGI Global