A new family of algorithm called Cline that provides a number of methods to construct and use multivariate decision trees is presented. We report experimental results for two types of data: synthetic data to visualize the behavior of the algorithms and publicly available eight data sets. The new methods have been tested against 23 other decision-tree construction algorithms based on benchmark data sets. Empirical results indicate that our approach achieves better classification accuracy compared to other algorithms.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1109/TNN.2007.910729 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Association of systemic immune-inflammation index (SII) with risk of psoriasis: a cross-sectional analysis of National Health and Nutrition Examination Survey 2011-2014.
Eur J Med Res
January 2025
The Department of Pediatrics, The Third Xiangya Hospital of Central South University, Changsha, 410013, Hunan, China.
Background: The systemic immune-inflammation index (SII) is an emerging marker of inflammation, and the onset of psoriasis is associated with inflammation. The aim of our study was to investigate the potential impact of SII on the incidence rate of adult psoriasis.
Methods: We conducted a cross-sectional study based on the National Health and Nutrition Examination Survey (NHANES) 2011-2014 data sets.
A clinical narrative corpus on nut allergy: annotation schema, guidelines and use case.
Sci Data
January 2025
Computer Science and Engineering Department, Universidad Carlos III de Madrid, Av. Universidad, 30, Leganés, 28911, Madrid, Spain.
This article describes a dataset on nut allergy extracted from Spanish clinical records provided by the Hospital Universitario Fundación de Alcorcón (HUFA) in Madrid, Spain, in collaboration with its Allergology Unit and Information Systems and Technologies Department. There are few publicly available clinical texts in Spanish and having more is essential as a valuable resource to train and test information extraction systems. In total, 828 clinical notes in Spanish were employed and several experts participated in the annotation process by categorizing the annotated entities into medical semantic groups related to allergies.
View Article and Find Full Text PDFThe compositional behavior of the human T cell receptor repertoire in ovarian cancer compared to healthy donors.
Sci Data
January 2025
The Mina & Everard Goodman Faculty of Life Sciences, Bar-Ilan University, Ramat-Gan, Israel.
The distinctive characteristics of an individual's T cell receptor repertoire are crucial in recognizing and responding to a diverse array of antigens, contributing to immune specificity and adaptability. The repertoire, famously vast due to a series of cellular mechanisms, can be quantified using repertoire sequencing. In this study, we sampled the repertoire of 85 women: ovarian cancer patients (OC) and healthy donors (HD), generating a dataset of T cell clones and their abundance.
View Article and Find Full Text PDFCODE-ACCORD: A Corpus of building regulatory data for rule generation towards automatic compliance checking.
Sci Data
January 2025
Faculty of Computing, Engineering and Built Environment, Birmingham City University, Birmingham, B4 7XG, UK.
Automatic Compliance Checking (ACC) within the Architecture, Engineering, and Construction (AEC) sector necessitates automating the interpretation of building regulations to achieve its full potential. Converting textual rules into machine-readable formats is challenging due to the complexities of natural language and the scarcity of resources for advanced Machine Learning (ML). Addressing these challenges, we introduce CODE-ACCORD, a dataset of 862 sentences from the building regulations of England and Finland.
View Article and Find Full Text PDFChromosome-level genome assembly of the sweet potato rot nematode Ditylenchus destructor.
Sci Data
January 2025
Shaanxi Key Laboratory of Plant Nematology, Bio-Agriculture Institute of Shaanxi, Xi'an, China.
Ditylenchus destructor, commonly known as the potato rot nematode, is a significant plant-parasitic pathogen affecting over 120 plant species globally. Effective control measures for D. destructor are limited, underscoring the need a high-quality reference genome to understand its pathogenic mechanisms.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!