Search Results - (( variable interactions sensor algorithm ) OR ( variable extraction mining algorithm ))
Search alternatives:
- variable interactions »
- variable extraction »
- extraction mining »
- sensor algorithm »
- mining algorithm »
-
1
Exploratory analysis with association rule mining algorithms in the retail industry / Alaa Amin Hashad ... [et al.]
Published 2024“…To address this, missing customer IDs are filled with the last valid ID, assuming repeated purchases. The FP-Growth algorithm was found to be faster and more effective than the Apriori algorithm in extracting frequent item sets and generating association rules. …”
Get full text
Get full text
Article -
2
RARE: mining colossal closed itemset in high dimensional data
Published 2018“…The task of mining association rules highly relies on the efficiency of the algorithms to extract all frequent itemsets that exist in the database. …”
Get full text
Get full text
Get full text
Get full text
Get full text
Article -
3
Analysis of Traffic Accident Patterns Using Association Rule Mining
Published 2024“…This study also demonstrated the practicality of the apriori algorithm in analyzing extensive datasets to extract actionable insights. …”
Get full text
Get full text
Get full text
Get full text
Article -
4
Classification of students' performance in computer programming course according to learning style
Published 2024Conference Paper -
5
Analysis using data mining techniques: the exploration and review data of diabetes patients / Syarifah Adilah Mohamed Yusoff ... [et al.]
Published 2025“…Therefore, it is advisable for future studies to implement robust classification algorithms, such as ensemble methods, to effectively manage and extract potential insights.…”
Get full text
Get full text
Get full text
Article -
6
Study of hand gesture recognition using impulse radio ultra wideband (IRUWB) radar sensor
Published 2023“…The developed algorithms interpret raw IR-UWB radar sensor data and associate it with specific hand gestures, addressing the core objective of gesture recognition. …”
Get full text
Get full text
Get full text
Thesis -
7
Classification of Students' Performance in Computer Programming Course According to Learning Style
Published 2024Proceedings Paper -
8
Robust generalized multiplicative scatter correction algorithm on pretreatment of near infrared spectral data
Published 2018“…The sensor requires a spectrometer to produce some sufficient information called spectrum as interaction between physical matters of the sample with the electromagnetic spectrum. …”
Get full text
Get full text
Article -
9
Characteristics of electronic cigarette and vape users in Malaysia: Lessons from decision tree analysis
Published 2020“…An Induction Decision Tree (ID3) algorithm, one of the renowned data mining technique, was used in this study. …”
Get full text
Get full text
Get full text
Article -
10
Prediction of electronic cigarette and vape use among Malaysian: decision tree analysis
Published 2017“…Results: By using the ID3 algorithm, it is possible to consider the relationship among variables and to identify the most informative variables for predicting the classification of the instance. …”
Get full text
Get full text
Get full text
Article -
11
Long-term electrical energy consumption: Formulating and forecasting via optimized gene expression programming / Seyed Hamidreza Aghay Kaboli
Published 2018“…To assess the applicability and accuracy of the proposed method for long-term electrical energy consumption, its estimates are compared with those obtained from artificial neural network (ANN), support vector regression (SVR), adaptive neuro-fuzzy inference system (ANFIS), rule-based data mining algorithm, GEP, linear, quadratic and exponential models optimized by particle swarm optimization (PSO), cuckoo search algorithm (CSA), artificial cooperative search (ACS) algorithm and backtracking search algorithm (BSA). …”
Get full text
Get full text
Get full text
Thesis -
12
-
13
-
14
A novel ensemble decision tree-based CHi-squared Automatic Interaction Detection (CHAID) and multivariate logistic regression models in landslide susceptibility mapping
Published 2014“…An ensemble algorithm of data mining decision tree (DT)-based CHi-squared Automatic Interaction Detection (CHAID) is widely used for prediction analysis in variety of applications. …”
Get full text
Get full text
Article -
15
Improvement on rooftop classification of worldview-3 imagery using object-based image analysis
Published 2019“…Then, the classifier (support vector machine (SVM) and data mining (DM) algorithm, decision tree (DT) were applied on each fusion image and their accuracy were evaluated. …”
Get full text
Get full text
Thesis -
16
Machine-learning approach using thermal and synthetic aperture radar data for classification of oil palm trees with basal stem rot disease
Published 2021“…The machine learning algorithm consistently performs well when presented with a well-balanced dataset. …”
Get full text
Get full text
Thesis -
17
A new estimation of nonlinear contact forces of railway vehicle
Published 2021“…The purpose of this paper is to develop a model-based estimation technique using the Extended Kalman Filter (EKF) with inertial sensors to estimate non-linear wheelset dynamics in variable adhesion conditions. …”
Get full text
Get full text
Get full text
Get full text
Article -
18
A centralised multi-objective model predictive control for biventricular assist devices / Vivian Koh Ci Ai
Published 2020“…Firstly, a simple state-space model of the CVS-BiVAD system was required prior to the development of an MPC algorithm. For this purpose, a complex CVS-BiVAD model was simplified by reducing the number of state variables. …”
Get full text
Get full text
Get full text
Thesis -
19
An integrated anomaly intrusion detection scheme using statistical, hybridized classifiers and signature approach
Published 2015“…Detection methods based on statistical and data mining techniques are widely deployed as anomaly-based detection system (ADS). …”
Get full text
Get full text
Thesis -
20
Simultaneous measurement of multiple soil properties through proximal sensor data fusion: a case study
Published 2019“…In this field, it was not possible to predict extractable P and K using all tested sensor combinations or algorithms. …”
Get full text
Get full text
Article
