Data classification

This research is intended to examine information management and technologies in tax support as basic source for developing the revenues, also its effect on total revenues in Iraq from 2014 till 2018. The analysis of tax support literature suggest that we have various kinds of tax support, classifications and effects of tax support, social and economic significance and response to tax support which needs analysis. The empirical analysis has been done with the data of total public revenues of Iraq starting from 2014 to 2018.

5p longtimenosee09 08-04-2024 0 0   Download

The study was conducted by using the method of Data Envelopment Analysis (DEA) two stages. The first stage involves the calculation a score of efficiency through the DEA by using firm’s data while the second stage Regression Tobit Analysis used to identify significant factors influencing to technical efficiency in machinery industrial.

12p longtimenosee09 08-04-2024 2 1   Download

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).

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Ebook Encyclopedia of Graphics file formats - Part 2 describes the graphics file formats themselves. There is one article per format or format set, and articles are arranged alphabetically. Each article provides basic classification information, an overview, and details of the format. In many cases we've included short code examples. We've also indicated whether the specification itself (or an article that describes the details of the format) is included on the CD-ROM that accompanies this book, as well as code examples and images encoded in that format.

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Comprehensive mutational profiling data now available on all major cancers have led to proposals of novel molecular tumor classifications that modify or replace the established organ- and tissue-based tumor typing. The rationale behind such molecular reclassifications is that genetic alterations underlying cancer pathology predict response to therapy and may therefore offer a more precise view on cancer than histology.

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Contemporary deep learning approaches show cutting-edge performance in a variety of complex prediction tasks. Nonetheless, the application of deep learning in healthcare remains limited since deep learning methods are often considered as non-interpretable black-box models.

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This paper analyzes three different classification methods: classification trees, k-nearest neighbors, and artificial neural networks to determine if there are any performance gaps between the methods. A series of experiments are conducted utilizing the Analytic Solver Data Mining (formerly XLMiner) add-in to Microsoft Excel in an effort to address these issues. The analysis reveals that there may be minor performance gaps, but the methods all perform well in the context of this study.

13p longtimenosee06 27-03-2024 2 2   Download

Part 1 book "Data processing and reconciliation for chemical process operations (Vol 2)" includes content: General introduction; estimability and redundancy within the framework of the general estimation theory; classification of the process variables for chemical plants; decomposition using orthogonal transformations; steady state data reconciliation; sequential processing of information; treatment of gross errors.

155p muasambanhan09 16-03-2024 1 1   Download

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 3 1   Download

Classification of rare missense variants remains an ongoing challenge in genomic medicine. Evidence of pathogenicity is often sparse, and decisions about how to weigh different evidence classes may be subjective.

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Ebook "The families and genera of vascular plants - Volume XIII: Flowering plants, monocots (Poaceae)" is the outcome of a modern phylogenetic analysis of the grass family based on multiple sources of data, in particular molecular systematic studies resulting from a concerted effort by researchers worldwide, including the author. In the classification given here grasses are subdivided into 12 subfamilies with 29 tribes and over 700 genera. The keys and descriptions for the taxa above the rank of genus are hierarchical, i.e.

413p manmanthanhla0201 26-02-2024 2 1   Download

Part 2 book "Biostatistics - A methodology for the health sciences" includes content: Association and prediction - multiple regression analysis and linear models with multiple predictor variables; multiple comparisons; discrimination and classification; principal component analysis and factor analysis; rates and proportions; analysis of the time to an event - survival analysis; sample sizes for observational studies; longitudinal data analysis; randomized clinical trials; personal postscript.

453p muasambanhan06 03-02-2024 5 1   Download

Ebook "Chemometrics with R: Multivariate data analysis in the natural sciences and life sciences" offers readers an accessible introduction to the world of multivariate statistics in the life sciences, providing a comprehensive description of the general data analysis paradigm, from exploratory analysis (principal component analysis, self-organizing maps and clustering) to modeling (classification, regression) and validation (including variable selection).

289p tachieuhoa 28-01-2024 4 2   Download

Preoperative prediction of pancreatic cystic neoplasm (PCN) differentiation has significant value for the implementation of personalized diagnosis and treatment plans. This study aimed to build radiomics deep learning (DL) models using computed tomography (CT) data for the preoperative differential diagnosis of common cystic tumors of the pancreas.

10p vileonardodavinci 23-12-2023 5 3   Download

We studied the prognosis and clinicopathological background of lung adenocarcinoma predominance among patients who underwent lobectomy using data from the Japanese Joint Committee of Lung Cancer Registry.

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Lecture "Applied data science: Classification" includes content: Classification - logistic regression review ; classification evaluation metrics; the expected value framework;... We invite you to consult!

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Part 1 of ebook "Accounting for the global economy: Measuring world trade and investment linkages" provides readers with contents including: the world accounting matrix and global policy analysis; concepts, definitions and classifications for the world accounting matrix; data sources and data problems; the construction of world accounting matrices for 1970, 1975, 1980 and 1985; a presentation and interpretation of the reconciled WAMs;...

135p mocthanhdao0210 19-11-2023 10 3   Download

This scholarly research paper addresses the crucial and complex challenge of detecting and categorizing Internet of Things (IoT) botnets through the utilization of machine learning algorithms. The study is focused on conducting meticulous analysis and manipulation of IoT botnet data, with a specific emphasis placed on the widely acknowledged IoT23 dataset.

12p visystrom 22-11-2023 7 5   Download

The engine was developed based on our collected data including patient medical records, expert knowledge and machine learning techniques. The system is designed with the main purpose of supporting the medical staffs and the patients at district and provincial level hospitals (where expert knowledge is limited) in the process of medical examination registration and patient classification.

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Ebook Health information management technology an applied approach (4th edition): Part 1 includes contents: Chapter 1: Introduction to the HIM profession, chapter 2: purpose and function of the health record, chapter 3: content and structure of the health record, chapter 4: healthcare data sets and standards, chapter 5: clinical vocabularies and classification systems, chapter 6: reimbursement methodologies, chapter 7: health information functions, chapter 8: secondary data sources, chapter 9: healthcare statistics and productivity, chapter 10: clinical quality performance improvement and m...

677p haojiubujain08 01-11-2023 4 1   Download