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Data accuracy
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Part 1 of ebook "Principles of data mining (Third edition)" provides readers with contents including: Chapter 1 - Introduction to data mining; Chapter 2 - Data for data mining; Chapter 3 - Introduction to classification, Naïve bayes and nearest neighbour; Chapter 4 - Using decision trees for classification; Chapter 5 - Decision tree induction, using entropy for attribute selection; Chapter 6 - Decision tree induction, using frequency tables for attribute selection; Chapter 7 - Estimating the predictive accuracy of a classifier;...
263p
daonhiennhien
03-07-2024
1
1
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The aim of this study was to evaluate data quality in the regional Breast Cancer Quality Registry of Central Sweden, with emphasis on the validity of recorded information on recurrence.
9p
vishanshan
27-06-2024
1
1
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Among the various methods used, administrative data collected for claims and billing purposes, such as diagnosis codes and present-on-admission (POA) indicators, can easily be employed to assess patient safety status. However, it is crucial that administrative data be accurate to generate valid estimates of adverse event (AE) occurrence.
7p
vishanshan
27-06-2024
1
1
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This study compares the accuracy of two popular time series forecasting models, namely the autoregressive integrated moving average (ARIMA) model and the long short-term memory (LSTM) model, in predicting daily gold prices from 2000 to 2023. The ARIMA model is a traditional approach that relies on past values to forecast future values, while the LSTM model is a deep learning technique that captures long-term dependencies in time series data.
16p
dathienlang1012
03-05-2024
0
0
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The term artificial intelligence (AI) is no longer a peculiar concept to many people, especially in the banking and finance industry, in which there are many activities involving technology and human intelligence. With the characteristics of big data, business in the monetary sector faces many risks, diverse customers, and extensive connections. Therefore, it is inevitably necessary to adopt AI in the banking system. AI potentially brings great abundance, reduces workload, and increases operational accuracy for banks.
6p
dathienlang1012
03-05-2024
1
0
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In this study, three-dimensional crystal plasticity finite element method (CPFEM) simulations of the nanoindentation test on zinc single crystal have been implemented in the finite element code Abaqus using a user material subroutine. The basics of deformation mechanisms of zinc, nanoindentation test and crystal plasticity theory will be presented.
10p
dathienlang1012
03-05-2024
0
0
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This study proposes a hybrid multi-filter wrapper method for feature selection of relevant and irredundant features in software defect prediction. The proposed hybrid feature selection will be developed to take advantage of filter-filter and filter-wrapper relationships to give optimal feature subsets, reduce its evaluation cycle and subsequently improve SDP models overall predictive performance in terms of Accuracy, Precision and Recall values.
7p
longtimenosee10
26-04-2024
2
1
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This article examined student learning motivation and its use as an indicator to predict student learning strategies in an Indonesian school context. This article applied quantitative research design, with Motivated Strategies for Learning Questionnaire (MSLQ) used to collect the data.
11p
viohoyo
25-04-2024
4
2
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The purpose of the study "Monitoring surface water bodies changes from sentinel-2A imagery with modified normalized difference water index: Application in Dalat, Lam Dong, Viet Nam" is to identify surface water body changes using Sentinel-2 MSI (Multi-Spectral Instrument) data, one of the latest types of remote sensing satellite data. The results of the research show that by using Sentinel-2 MSI imagery, MNDWI (Modified Normalized Water Index) is the appropriate parameter to detect surface water areas in the studied area, with an overall accuracy > 0.92 and Kappa coefficient > 0.84.
10p
tukhauquantuong1011
22-04-2024
4
2
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The paper deals with the task of assessing the financial condition of enterprises. To solve it, we prove the necessity of building a neural network model for supply chain. A set of financial ratios is defined as the input parameters of the model: the current liquidity ratio of the enterprise, the equity ratio, the equity turnover ratio, and the return on equity ratio. The output parameters were the types of the financial condition of enterprises: an unstable state (regression), a normal state (stable) and an absolutely stable state (progression).
6p
longtimenosee09
08-04-2024
2
1
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Here, we present the Northeast Asian Reference Database (NARD), including whole-genome sequencing data of 1779 individuals from Korea, Mongolia, Japan, China, and Hong Kong. NARD provides the genetic diversity of Korean (n = 850) and Mongolian (n = 384) ancestries that were not present in the 1000 Genomes Project Phase 3 (1KGP3).
10p
vibransone
28-03-2024
2
2
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In this study we generated a whole exome sequencing benchmark dataset using the platinum genome sample NA12878 and developed an intersect-then-combine (ITC) approach to increase the accuracy in calling single nucleotide variants (SNVs) and indels in tumour-normal pairs. We evaluated the effect of alignment, base quality recalibration, mutation caller and filtering on sensitivity and false positive rate.
11p
vioraclene
31-03-2024
4
2
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This research aims to study the knowledge used for Hospitality of Agriculturists for Agro-tourism (HAAT) and Tourism Service Enhancement (TSE), to create a hospitality model for agriculturists in Nakhon Pathom province, Thailand, and to study the effect of using the model on TSE. A mixed method was the research methodology. The data was collected from 800 samples selected from the population of 920,030 people in Nakhon Pathom province to ensure the data reliability and accuracy in the Structural Equation Modeling (SEM).
12p
longtimenosee06
27-03-2024
2
2
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Genome-wide data are increasingly important in the clinical evaluation of human disease. However, the large number of variants observed in individual patients challenges the efficiency and accuracy of diagnostic review. Recent work has shown that systematic integration of clinical phenotype data with genotype information can improve diagnostic workflows and prioritization of filtered rare variants.
17p
vioraclene
31-03-2024
1
1
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This study aims to optimize the classification process of providing assistance to Indonesian Telematics Small and Medium Enterprises (SMEs) using a deep learning approach. The data used is the 2016 Economic Census data. The research was conducted comprehensively through the process of comparing performance through several approaches. Deep learning performance shows an optimal accuracy rate of 99.03%, higher than other approaches of the Adaboost and Adaboos-Bagging Ensemble (92.0%), LVQ (93.11%) and Backpropagation (89.1%).
7p
longtimenosee04
06-03-2024
5
1
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This study aims to evidence the state pattern of the relationship between unemployment, supply chain strategy, and economic growth by investigating the accuracy of the Okun’s Law and the Phillips’ Curve in Indonesia. Time series data are sourced from the World Bank. As an addition to the independent variable, the dependency ratio is acknowledged to investigate unemployment based on the premise that a high dependency ratio will reduce the unemployment rate.
6p
longtimenosee04
06-03-2024
2
0
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Ebook "Protein metabolism and homeostasis in aging (Advances in experimental medicine and biology, Volume 694)" provided of the current knowledge in the area, including protein synthesis, accuracy and repair, post-translational modifications, degradation and turnover, and how they define and influence aging. The chapters mainly focus on well-characterised factors and pathways, but new areas are also presented, where associations with aging are just being elucidated by current experimental data.
268p
duongthandue0501
28-02-2024
1
1
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Ebook "GeoDynamics" analyzes recent developments in assembling geographical information such as: the ubiquitous deployment of portable measurement devices enabled with global positioning technology and its impact on the field; the management, benefits, and challenges of modeling dynamic processes in three dimensions; the implications of temporal granularity of simulations to predictions; and the appropriate representation of human factors in GIS.
446p
duongthandue0501
28-02-2024
6
1
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Most existing predictive models of hepatocellular carcinoma (HCC) risk after sustained virologic response (SVR) are built on data collected at baseline and therefore have limited accuracy.
11p
vileonardodavinci
23-12-2023
5
3
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The objective of this study was to estimate the accuracy of transcriptome-based classifier in differential diagnosis of uterine leiomyoma and leiomyosarcoma. We manually selected 114 normal uterine tissue and 31 leiomyosarcoma samples from publicly available transcriptome data in UCSC Xena as training/validation sets.
11p
vialfrednobel
23-12-2023
4
3
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