Results 71 to 80 of about 23,893 (215)
Analysis of C4.5 Algorithm of Water Quality Dataset
Abstract The C4.5 algorithm still has weaknesses in predicting or classifying data if a large number of classes are used which can lead to increased decision-making time. So an approach is needed to improve the performance of the C4.5 algorithm with the selected split attributes that use the application of the average gain value to help ...
Heru Mardiansyah +2 more
openaire +1 more source
Improved Regression Tree Models Using Generalization Error‐Based Splitting Criteria
ABSTRACT Despite the widespread application of machine learning (ML) approaches such as the regression tree (RT) in the field of data‐driven optimization, overfitting may impair the effectiveness of ML models and thus hinder the deployment of ML for decision‐making.
Ying Yang, Shuaian Wang, Gilbert Laporte
wiley +1 more source
The tahfidz program aims to improve understanding and memorization of the Al-Quran in the Al-Mawaddah Region, Probolinggo, Indonesia, including those who organize the Tahfid Qur'an program.
Wahab Sya'roni +2 more
doaj +1 more source
Classificasion of Graduate Data Using The C4.5 Algorithm
Data mining is an activity that includes the collection, and use of historical data to find regularities, patterns, or relationships in large data sets. The pile of data in an information system gives rise to a data mining process. The Bahrul Ulum Islamic Boarding School Tambakberas Jombang is one of the oldest and largest Islamic boarding schools in ...
Ratna Oktavia, Agus Sifaunajah
openaire +1 more source
ABSTRACT Environmental awareness and sustainable transportation are critical in addressing climate change and urbanization. This research enhances understanding of environmental awareness through advanced machine learning (ML), focusing on cycling as a key component of sustainable urban mobility.
Mihrimah Özmen
wiley +1 more source
Software defect prediction (SDP) plays a crucial role in improving software quality by enabling the early detection of faulty modules during the development phase.
Dede Wintana +2 more
doaj +1 more source
A Novel Progressive Multi-label Classifier for Classincremental Data
In this paper, a progressive learning algorithm for multi-label classification to learn new labels while retaining the knowledge of previous labels is designed.
Dave, Mihika +3 more
core +1 more source
Development of an integrated low-power RF partial discharge detector [PDF]
This paper presents the results from integrating a low-power partial discharge detector with a wireless sensor node designed for operating as part of an IEEE 802.15.4 sensor network, and applying an on-line classifier capable of classifying partial ...
Baker, P.C. +3 more
core +1 more source
Hyperkeratosis of (a) the footpads and (b) the nasal planum. ABSTRACT Background Canine leishmaniosis (CanL) due to Leishmania infantum remains common, and veterinarians do not always follow scientifically sound approaches for diagnosis, treatment and prevention. Objectives To provide consensus guidelines for diagnosis and evidence‐based guidelines for
Manolis N. Saridomichelakis +9 more
wiley +1 more source
Machine learning from coronas using parametrization of images [PDF]
We were interested to develop an algorithm for detection of coronas of people in altered states of consciousness (two-classes problem). Such coronas are known to have rings (double coronas), special branch-like structure of streamers and/or curious spots.
Bevk, Matjaž +3 more
core

