Revolutionizing Retail: A Hybrid Machine Learning Approach for Precision Demand Forecasting and Strategic Decision-Making in Global Commerce

Journal of Computer Science and Technology Studies, Год журнала: 2024, Номер 6(1), С. 33 - 39

Опубликована: Янв. 2, 2024

A thorough comparison of several machine learning methods is provided in this paper, including gradient boosting, AdaBoost, Random Forest (RF), XGBoost, Artificial Neural Network (ANN), and a unique hybrid framework (RF-XGBoost-LR). The assessment investigates their efficacy real-time sales data analysis using key performance metrics like Mean Absolute Error (MAE), Squared (MSE), R2 score. study introduces the model RF-XGBoost-LR, leveraging both bagging boosting methodologies to address limitations individual models. Notably, XGBoost are scrutinized for strengths weaknesses, with strategically combining merits. Results demonstrate superior proposed terms accuracy robustness, showcasing potential applications supply chain studies demand forecasting. findings highlight significance industry-specific customization emphasize improved decision-making, marketing strategies, inventory management, customer satisfaction through precise

Язык: Английский

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Deep Learning in Stock Market Forecasting: Comparative Analysis of Neural Network Architectures Across NSE and NYSE

Journal of Computer Science and Technology Studies, Год журнала: 2024, Номер 6(1), С. 68 - 75

Опубликована: Янв. 13, 2024

This research explores the application of four deep learning architectures—Multilayer Perceptron (MLP), Recurrent Neural Networks (RNN), Long Short-Term Memory (LSTM), and Convolutional (CNN)—in predicting stock prices using historical data. Focusing on day-wise closing from National Stock Exchange (NSE) India New York (NYSE), study trains neural network NSE data tests it both NYSE stocks. Surprisingly, CNN model outperforms others, successfully despite being trained Comparative analysis against ARIMA underscores superior performance networks, emphasizing their potential in forecasting market trends. sheds light shared underlying dynamics between distinct markets demonstrates efficacy architectures price prediction.

Язык: Английский

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Advanced Cybercrime Detection: A Comprehensive Study on Supervised and Unsupervised Machine Learning Approaches Using Real-world Datasets

Journal of Computer Science and Technology Studies, Год журнала: 2024, Номер 6(1), С. 40 - 48

Опубликована: Янв. 2, 2024

In the ever-evolving field of cybersecurity, sophisticated methods—which combine supervised and unsupervised approaches—are used to tackle cybercrime. Strong tools include Support Vector Machines (SVM) K-Nearest Neighbors (KNN), while well-known methods K-means clustering model. These techniques are on publicly available StatLine dataset from CBS, which is a large that includes individual attributes one thousand crime victims. Performance analysis shows remarkable 91% accuracy SVM in classification by examining differences between training testing data. (KNN) models quite good arena; their detecting criminal activity impressive, at 79.56%. assessment metrics, such as False Positive (FP), True Negative (TN), (FN), (TP), Alarm Rate (FAR), Detection (DR), Accuracy (ACC), Recall, Precision, Specificity, Sensitivity, Fowlkes–Mallow's scores, provide comprehensive assessment.

Язык: Английский

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Harmonizing Macro-Financial Factors and Twitter Sentiment Analysis in Forecasting Stock Market Trends

Journal of Computer Science and Technology Studies, Год журнала: 2024, Номер 6(1), С. 58 - 67

Опубликована: Янв. 7, 2024

The surge in generative artificial intelligence technologies, exemplified by systems such as ChatGPT, has sparked widespread interest and discourse prominently observed on social media platforms like Twitter. This paper delves into the inquiry of whether sentiment expressed tweets discussing advancements AI can forecast day-to-day fluctuations stock prices associated companies. Our investigation involves analysis containing hashtags related to ChatGPT within timeframe December 2022 March 2023. Leveraging natural language processing techniques, we extract features, including positive/negative scores, from collected tweets. A range classifier machine learning models, encompassing gradient boosting, decision trees random forests, are employed train tweet sentiments features for prediction price movements among key companies, Microsoft OpenAI. These models undergo training testing phases utilizing an empirical dataset gathered during stipulated timeframe. preliminary findings reveal intriguing indications suggesting a plausible correlation between public reflected Twitter discussions surrounding subsequent impact market valuation trading activities concerning pertinent gauged through prices. study aims bullish or bearish trends leveraging derived extensive comprising 500,000 In conjunction with this Twitter, incorporate control variables macroeconomic indicators, uncertainty index data several prominent

Язык: Английский

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Comparing Machine Learning Techniques for Detecting Chronic Kidney Disease in Early Stage

Journal of Computer Science and Technology Studies, Год журнала: 2024, Номер 6(1), С. 20 - 32

Опубликована: Янв. 2, 2024

In medical care, side effect trial and error processes are utilized for the discovery of hidden reasons ailments determination conditions. our exploration, we used a crossbreed strategy to refine optimal model, improving Pearson relationship highlight choice purposes. The underlying stage included ideal models through careful survey current writing. Hence, proposed half-and-half model incorporated blend these models. base classifiers XGBoost, Arbitrary Woods, Strategic Relapse, AdaBoost, Crossover classifiers, while Meta classifier was Irregular Timberland classifier. essential target this examination evaluate best AI grouping techniques decide concerning accuracy. This approach resolved issue overfitting accomplished most elevated level exactness. focal point assessment precision, introduced far-reaching significant writing in even configuration. To carry out methodology, four top-performing fostered another named "half half," utilizing UCI Persistent Kidney Disappointment dataset prescient experiment, found that XGBoost gains almost 94% accuracy, random forest 93% Logistic Regression about 90% AdaBoost 91% new hybrid highest 95% performance Hybrid is on equivalent dataset. Various noticeable have been foresee event persistent kidney disappointment (CKF). These incorporate Naïve Bayes, Random Forest, Decision Tree, Support Vector Machine, K-nearest neighbor, LDA (Linear Discriminant Analysis), GB (Gradient Boosting), neural networks. examination, explicitly Regression, with highlights analyze their accuracy scores.

Язык: Английский

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Optimizing E-Commerce Profits: A Comprehensive Machine Learning Framework for Dynamic Pricing and Predicting Online Purchases

Journal of Computer Science and Technology Studies, Год журнала: 2023, Номер 5(4), С. 186 - 193

Опубликована: Дек. 15, 2023

In the online realm, pricing transparency is crucial in influencing consumer decisions and driving purchases. While dynamic not a novel concept widely employed to boost sales profit margins, its significance for retailers substantial. The current study an outcome of ongoing project that aims construct comprehensive framework deploy effective techniques, leveraging robust machine learning algorithms. objective optimize strategy on e-commerce platforms, emphasizing importance selecting right purchase price rather than merely offering cheapest option. Although primarily targets inventory-led companies, model's applicability can be extended marketplaces operate without maintaining inventories. endeavors forecast based adaptive or strategies individual products by integrating statistical models. Various data sources capturing visit attributes, visitor details, history, web data, contextual insights form foundation this framework. Notably, specifically emphasizes predicting purchases within customer segments focusing buyers. logical progression research involves personalization prediction, with future extensions planned once outcomes are presented. solution landscape encompasses mining, big technologies, implementation

Язык: Английский

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Do Governance Structures Matter to Service Provision?

International Journal of Arts and Humanities Studies, Год журнала: 2024, Номер 4(1), С. 51 - 67

Опубликована: Фев. 23, 2024

This study looks at how different city government structures affect housing assistance and English as a Second Language (ESL) programs. It examines the impact of various governance like Mayor-Council Council-Manager. The research uses data from surveys 1,201 local governments in United States. results show that cities with Council-Manager system are more likely to offer ESL assistance. They often work nonprofit organizations provide these services. In contrast, municipal County Commission structure less involved These findings suggest way is governed has big on public affects run their policies. However, study's method fact only small percentage responded survey limitations.

Язык: Английский

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Building Equity: Exploring the Impact of Sustainable Urban Policies on Social Welfare and Inclusivity

British Journal of Environmental Studies, Год журнала: 2024, Номер 4(1), С. 18 - 28

Опубликована: Март 5, 2024

This study, "Building Equity: Exploring the Impact of Sustainable Urban Policies on Social Welfare and Inclusivity," investigates relationship between sustainable building policies in urban areas their impact social welfare, with a focus protecting low-income households from utility shutoffs. Employing Sociology Theory, it examines how these influence dynamics residents' well-being. The research utilizes descriptive statistics, chi-square tests, multinomial logistic regression to analyze correlation welfare measures, finding significant link. study emphasizes need for integrated that cater both environmental sustainability welfare. It highlights importance enhancing safety nets, continuous policy evaluation, community involvement, data-driven policymaking. points out its limitations scope, methodology, generalizability, suggesting necessity broader, more context-specific future studies. Overall, this sheds light can promote equity.

Язык: Английский

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Exploring the Discrepancy between Marketing Focused on Racial and Ethnic Diversity and the Availability of Support for Immigrant Entrepreneurs in Economic Development

Journal of Humanities and Social Sciences Studies, Год журнала: 2024, Номер 6(2), С. 73 - 82

Опубликована: Фев. 23, 2024

This study investigates the complex relationship between emphasis on racial and ethnic diversity in economic development marketing availability of grant or loan programmes for immigrant entrepreneurs. Utilizing a comprehensive survey conducted collaboration with International City/County Management Association Cornell University, research analyses responses from chief administrative officers across U.S municipalities. The employs quantitative analysis to examine correlation diversity-focused strategies existence financial support mechanisms Key findings reveal statistically significant association presence programmes. However, highlights discrepancy claims actual available policy implications suggest need authentic integration both program implementation, emphasising role tangible mechanisms. underline necessity holistic inclusive that align promotional efforts practical

Язык: Английский

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An Overview of Prison Rape Elimination Acts (Prea) 2003

International Journal of Law and Politics Studies, Год журнала: 2024, Номер 6(2), С. 18 - 24

Опубликована: Март 15, 2024

The main objective of this paper is to briefly focus on a reform related prison called PREA which stands for Prison Rape Elimination Act, 2003. Act US federal law that was implemented in 2003 eradicate rape prisons. created principles recognizing, preventing, and responding sexual abuse harassment correctional settings such as prisons, jails, juvenile facilities, immigration detention centers. also requires data collecting reporting incidences within these well staff training avoid incidents. However, could not meet all the criteria included its eliminate culture prison. From concern, aim prisons (PREA) 2003, reasons why act put into place, current status rape, positive, negative impact probable strategies can be helpful appropriate implementation To accomplish endeavor, research followed systematic literature review methods due availability scholarly work field. Although has some positive aspects, overall analysis study uncovered accurately practical problems it. There are still improvements need accomplished prisoners. Some suggested ways were discussed improve

Язык: Английский

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