Data model

p 01-01-1970   Download

p 01-01-1970   Download

To predict the survival probability of septic patients over time, integrating the Sequential Organ Failure Assessment (SOFA) score with other key clinical features. Subject and method: Using stepwise and exhaustive search techniques, we analyzed time-dependent data from 125 patients in the Intensive Care Unit of the 108 Military Central Hospital, collected during a cohort study conducted between December 2019 and February 2021.

11p vihizuzen 26-05-2025 2 1   Download

Bài thuyết trình Ứng dụng khai thác dữ liệu (Data Mining and Application): Linear Models For Anomaly Detection giới thiệu các mô hình tuyến tính được sử dụng để phát hiện bất thường trong tập dữ liệu. Bài thuyết trình cung cấp cái nhìn tổng quan, cách áp dụng thuật toán cũng như các ví dụ minh họa cụ thể. Đây là phương pháp đơn giản nhưng hiệu quả trong việc nhận diện dữ liệu ngoại lệ. Mời các bạn cùng tham khảo để biết thêm chi tiết!

45p hoatrongguong03 15-05-2025 1 1   Download

Bài giảng môn học Cơ sở dữ liệu - Chương 2: Mô hình dữ liệu quan hệ (Relational Data Model) trình bày các khái niệm của mô hình dữ liệu quan hệ, chuyển lược đồ ER sang mô hình dữ liệu quan hệ. Đây là mô hình dữ liệu phổ biến và làm nền cho nhiều hệ quản trị hiện nay. Mời các bạn cùng tham khảo bài giảng để biết thêm chi tiết!

49p hoatrongguong03 15-05-2025 7 1   Download

This study investigates the factors affecting students' intention to participate in training and development programs on Digital and Technological skills at Can Tho University of Technology. Using a survey of 339 students, the study employs reliability testing, exploratory factor analysis (EFA), and Partial Least Squares Structural Equation Modeling (PLS-SEM) to analyze the data.

9p vijiraiya 19-05-2025 5 1   Download

This mixed-methods study examines Vietnamese tertiary EFL teachers' self-efficacy and information and communication technology integration practices. Survey data from 84 lecturers revealed moderately high self-efficacy, with highest confidence in instructional strategies and lowest in student engagement.

8p vijiraiya 19-05-2025 1 1   Download

In this paper, we propose a single-step Deep Neural Network (DNN) for CE, termed Iterative Sequential DNN (ISDNN), inspired by recent developments in data detection algorithms. ISDNN is a DNN based on the projected gradient descent algorithm for CE problems, with the iterative iterations transforming into a DNN using the deep unfolding method.

7p vijiraiya 19-05-2025 1 1   Download

This study investigates the relationship between LCC expansion and international tourism demand, while also identifying key factors that influence tourism demand in ASEAN countries. Utilizing panel data from seven ASEAN member nations in the period 2010 to 2022, the analysis is conducted through a regression model.

5p vijiraiya 19-05-2025 3 1   Download

Bài giảng "Lập trình Python cho máy học: Bài 10 - Xây dựng mô hình máy học" tập trung vào quy trình xây dựng mô hình máy học từ đầu đến cuối, bao gồm các bước huấn luyện, đánh giá và tối ưu hóa mô hình. Nội dung bao gồm cách chọn mô hình phù hợp, huấn luyện mô hình với dữ liệu, đánh giá hiệu suất mô hình qua các chỉ số như accuracy, precision, recall, F1-score, và sử dụng các kỹ thuật như cross-validation để đảm bảo mô hình không bị quá khớp.

39p bachlapkim01 09-05-2025 1 1   Download

Bài giảng "Lập trình Python cho máy học: Bài 11 - Xây dựng mô hình máy học (tt)" tập trung vào các kỹ thuật quan trọng trong việc xây dựng và tối ưu hóa mô hình máy học. Nội dung bao gồm: Model Selection và Evaluation; Handle Imbalanced Data Method; Error Analysis Model. Mời các bạn cùng tham khảo!

60p bachlapkim01 09-05-2025 2 1   Download

This article proposes a distributed algorithm to deal with this problem, called the distributed algorithm for sequential pattern mining on a large sequence dataset using dynamic vector bit structures on the MapReduce distributed programming model (DSPDBV).

10p visarada 28-04-2025 2 1   Download

This study aims to examine the effect of organizational justice on the organizational citizenship behaviors of employees in information technology enterprises, with a specific focus on the mediating role of job satisfaction. Data was collected from 300 voluntary respondents working in information technology enterprises in Vietnam, using online structured questionnaires. T

11p visarada 28-04-2025 2 1   Download

This study focuses on developing a machine learning model through the process of analyzing. comparing, and evaluating the performance of five models: AdaBoost, Decision Tree, RandomForest, ExtraTree, and BernoulliNB. All models are implemented using the "Predict Student Dropout Dataset." Based on the results obtained after processing the data, the study will conduct an analysis based on two main criteria: evaluation by average percentage, standard deviation, and final outcomes, as well as evaluation using a time-series model of age (Balanced Accuracy Progression).

16p visarada 28-04-2025 1 1   Download

In this article, we will discuss the use of a database, called Churn Modeling, which collects statistical data from banks. We will also explore the application of the BernoulliNB algorithm, combined with the incremental machine learning method, to process streaming data and analyze and predict customer churn rates in banks.

10p visarada 28-04-2025 1 1   Download

This paper presents the process of building and developing a mobile application designed to assist students and users in learning and applying Database management techniques. The goal of the application is to provide a user-friendly tool for solving exercises related to functional dependencies and keys, as well as normalizing relational schemas from basic to advanced levels.

8p visarada 28-04-2025 1 1   Download

Ontology matching, a field within data management and information retrieval, utilizes machine learning to integrate and link different data sources by identifying equivalences and relationships between concepts across various ontologies. This report provides an overview of key techniques and methods in ontology matching, including vectorization and embeddings such as Word2Vec, similarity measure like Levenshtein Distance and Jaccard Index, and machine learning models that improve accuracy in classifying and matching concepts.

11p visarada 28-04-2025 1 1   Download

The paper conducts an empirical investigation to examine whether there is a linkage between financial development and income disparity or not. Final results withdrawn from the ARDL model, which is employed to deal with Vietnam’s national-level time series data from 1992 to 2021, reveal that the influence of financial development on income inequality depends on the specific measure used to capture its multidimensional aspects.

18p vimaito 11-04-2025 5 1   Download

In this study, Partial Least Square – Structural Equation Modeling (PLS-SEM) was used to analyze data from the questionnaire survey of 363 customers who are familiar with live streaming platforms in Vietnam. By using SmartPLS for data empirical evaluation and hypotheses testing, research shows that the social presence of a live streaming platform and scarcity have a positive impact on consumer’s flow states, hence inducing consumers’ impulsive buying behaviors.

20p viling 11-10-2024 6 1   Download

In this study, we propose a novel approach using the oscillation characteristics of the RMS current as the input to machine learning models, combined with the confident learning technique. Using the oscillation characteristics obtained by taking a discrete Fourier transform (DFT) of the RMS current as model input, we aim to reduce the computational requirements of the machine learning models.

12p viling 11-10-2024 4 1   Download