Decision trees

In Saudi Arabia, approximately one-third of colorectal cancer (CRC) patients are diagnosed at an advanced stage. Late diagnosis is often associated with a worse prognosis. Understanding the risk factors for latestage presentation of CRC is crucial for developing targeted interventions enabling earlier detection and improved patient outcomes.

12p vishanshan 27-06-2024 1 1   Download

Clinically significant portal hypertension (CSPH) seriously affects the feasibility and safety of surgical treatment for hepatocellular carcinoma (HCC) patients. The aim of this study was to establish a new surgical scheme defining risk classification of post-hepatectomy liver failure (PHLF) to facilitate the surgical decision-making and identify suitable candidates for individual hepatectomy among HCC patients with CSPH.

14p vikoch 27-06-2024 1 1   Download

Anomaly detection for Internet of things (IoT) networks is a challenging issue due to the huge number of devices that connect to each other and generate huge amounts of data. In this study, we propose a model combining Autoencoder (AE) with classification algorithms to build an endto-end architecture for processing, feature extraction and data classification.

13p viambani 18-06-2024 6 1   Download

Domestic consumption of nutritional products and food supplements are on the rise. This is due to the fact that consumers have become more affluent and aware of their health. Edible bird’s nest (EBN) is used as a health supplement for medicinal benefits to improve health quality. However, issues such as contamination and counterfeit EBN have caused fluctuation of the product’s price over time and consumers are slowly shunning away from consuming EBN products.

6p longtimenosee10 26-04-2024 1 1   Download

The purpose of this article is to analyze the performance of companies in the slaughterhouse industry in health and safety issues. The research method is quantitative modeling. The main research technique uses a mixed method based on multi-attribute utility method (MAUT) and artificial neural networks (ANN). The research object is 34 slaughterhouse companies located in Southern Brazil. Then, we ranked the companies and modeled their decision trees using the MAUT method.

9p longtimenosee10 26-04-2024 2 1   Download

This study proposes a new classifier based on a decision tree classifier model enriched with rules (called Rule-enriched Decision Tree Classifier (ReDTC)) to extract and analyze sentiments expressed in conditional sentences. ReDTC has been experimented on a dataset collected from English teaching websites.

10p vilarry 01-04-2024 2 0   Download

In this research "Classification and regression tree model to predict the probability of a backorder in uncertain supply chain", we develop Classification and Regression Tree (CART) model that uses previously known parameters to predict the likelihood of a product being backordered. We also use different model parameters to evaluate the accuracy of the model. Result shows that the developed model can help decision makers to identify the key factors that lead to a product backordering.

8p longtimenosee04 06-03-2024 3 1   Download

Ebook "Optimal thinning within the faustmann approach" introduction of mutual interdependencies between the trees growing in a stand and the opportunity to harvest trees prior to the rotation age, optimal thinning regimes can be derived and analyzed. The implications of the proposed model are thoroughly discussed against the background of practical forest management decisions. The author closes with adaptations to the problems of the management of mixed, multiple-use and uneven-aged stands and entire forests.

253p manmanthanhla0201 26-02-2024 3 1   Download

Ebook "Tree transgenesis: Recent developments" based on scientific results it is aim of this book to inform the reader about the present state of the art and to stimulate discussion concerning problems of biosafety and risk assessment and the necessary experimental tasks in the future, as well as to support decision-making processes in politics.

362p tachieuhoa 28-01-2024 7 2   Download

The aim of this study is to utilize the inspection and the maintenance records to decision making in expansion planning of the distribution systems. In the proposed method, decision tree learning is applied to analyze relationships between initial information of the electrical components (sets of specifications and weather conditions) and their operating lifetime.

6p vijeff 01-12-2023 6 3   Download

Ebook "Complexity of Algorithms" contains 14 chapters, includes: Chapter 0 introduction and preliminaries, chapter 1 models of computation, chapter 2 algorithmic decidability, chapter 3 computation with resource bounds, chapter 4 general theorems on space and time complexity, chapter 5 non-deterministic algorithms, chapter 6 randomized algorithms, chapter 7 information complexity: the complexity-theoretic notion of randomness, chapter 8 pseudo-random numbers, chapter 9 parallel algorithms, chapter 10 decision trees, chapter 11 communication complexity, chapter 12 the complexity of algebraic...

180p haojiubujain08 01-11-2023 5 2   Download

To express the visions forged in the workshops to a wide range of data mining researchers and practitioners and foster active participation in the study of foundations of data mining, we edited this volume by involving extended and updated versions of selected papers presented at those workshops as well as some other relevant contributions. The content of this book includes studies of foundations of data mining from theoretical, practical, algorithmical, and managerial perspectives. The following is a brief summary of the papers contained in this book.

561p haojiubujain08 01-11-2023 5 2   Download

Implementing and Developing Cloud Computing ApplicationsMajor enterprises and small start-ups are beginning to embrace cloud computing for the scalability and reliability that cloud vendors can provide. This book demonstrates how to implement robust and highly scalable cloud computing applications.

316p haojiubujain08 01-11-2023 4 2   Download

The intent of this book is to describe some recent data mining tools that have proven effective in dealing with data sets which often involve uncertain description or other complexities that cause difficulty for the conventional approaches of logistic regression, neural network models, and decision trees. We have organized the material into three parts. Part I introduces concepts. Part II contains chapters on a number of different techniques often used in data mining. Part III focuses on business applications of data mining.

182p haojiubujain08 01-11-2023 9 2   Download

This book explores artificial intelligence finding it cannot simply display the high-level behaviours of an expert but must exhibit some of the low level behaviours common to human existence.

325p haojiubujain08 01-11-2023 9 1   Download

This study proposes the application of Ensemble Decision Tree Boosted (EDT Boosted) model for forecasting the surface chloride concentration of marine concrete

13p visharma 20-10-2023 5 4   Download

This book aims to describe such recent achievements of complexity theory in the context of the classical results. It is intended to both serve as a textbook as a reference for self-study. This means it must simultaneously cater to many audiences, and it is carefully designed with that goal. Throughout the book we explain the context in which a certain notion is useful, and why things are defined in a certain way. Examples and solved exercises accompany key definitions.

169p haojiubujain07 20-09-2023 8 3   Download

Ebook "Machine learning" includes content: Introduction, concept learning and the general to specific ordering; decision tree learning; artificial neural networks; evaluating hypotheses; bayesian learning; computational learning theory; instance based learning; genetic algorithms; learning sets of rules; analytical learning; combining inductive and analytical learning; reinforcement learning.

421p haojiubujain07 20-09-2023 6 4   Download

Ebook "Introduction to machine learning" includes content: Preliminaries, boolean functions, using version spaces for learning, neural networks, statistical learning, decision trees, inductive logic programming, computational learning theory, unsupervised learning,... and other contents.

209p haojiubujain07 20-09-2023 6 2   Download

Accurate prediction models for spatial prediction of forest fire danger play a vital role in predicting forest fires, which can help prevent and mitigate the detrimental effects of such disasters. This research aims to develop a new ensemble learning model, HHO-RSCDT, capable of accurately predicting spatial patterns of forest fire danger.

19p viisac 15-09-2023 3 3   Download