Search Results - (( data distribution mining algorithm ) OR ( _ variation ((tree algorithm) OR (new algorithm)) ))
Search alternatives:
- distribution mining »
- data distribution »
- mining algorithm »
- tree algorithm »
- new algorithm »
- _ variation »
-
1
Decision tree-based approach for online management of PEM fuel cells for residential application
Published 2004“…In this research, a Decision Tree (DT) algorithm is employed to obtain the optimal, or quasioptimal, settings of the fuel cell online and in a general framework. …”
Get full text
Get full text
Thesis -
2
Decision tree-based approach for online management of pem fuel cells for residential application
Published 2004“…In this research, a Decision Tree (DT) algorithm was employed to obtain the optimal, or quasi-optimal, settings of the fuel cell online and in a general framework. …”
Get full text
Get full text
Get full text
Get full text
Thesis -
3
Expression invariant face recognition using multi-stage 3D face fitting with 3D morphable face model
Published 2010“…Feature extraction will be done using active appearance model while the feature classification will be done using the tree model to insure a good processing speed. This proposed model will show good results when shape, texture and extrinsic variations occur in the 3D domain since the combination of multistage fitting algorithm and tree model can enhance the speed and accuracy of the system recognition capabilities. …”
Get full text
Get full text
Conference or Workshop Item -
4
An efficient scalable batch-rekeying scheme for secure multicast communication using multiple logical key trees
Published 2014“…Instead of using only a single key tree multiple key trees are used and at the end of each batch time the algorithm decides which tree will be used to update the keys. …”
Get full text
Get full text
Get full text
Article -
5
-
6
Satisfiable Integer Programming Algorithm On Distributed Inter Process Communication (SIP-DIPC)
Published 2019“…Data Analytics is a superset to Data Mining. Data mining algorithm is getting popular support in recent development of Big Data. …”
Get full text
Get full text
Get full text
Article -
7
Forecasting Torque and Drag for Oil Wells Prediction using Variation of Decision Tree Algorithm
Published 2022Get full text
Get full text
Final Year Project -
8
Discovery of SIP/DRIP approach in distributed inter process communication
Published 2023“…Classification modeling in data mining has evolved since 1990's. Many methods have been introduced and experimented. …”
Conference paper -
9
Analysis using data mining techniques: the exploration and review data of diabetes patients / Syarifah Adilah Mohamed Yusoff ... [et al.]
Published 2025“…In this statistical summary procedure, the distribution of attributes and their interactions are crucial for accurately processing the data in accordance with the selected classification or data mining techniques to be performed. …”
Get full text
Get full text
Get full text
Article -
10
-
11
Predicting Customer Buying Decisions for Online Shopping with Unbalanced Data Set
Published 2022“…Weka, a data mining tool, provides the facility to classify the data set with different machine learning algorithms. …”
Get full text
Get full text
Final Year Project / Dissertation / Thesis -
12
Algorithm Development of Bidirectional Agglomerative Hierarchical Clustering Using AVL Tree with Visualization
Published 2024thesis::doctoral thesis -
13
-
14
Development of a modified adaptive protection scheme using machine learning technique for fault classification in renewable energy penetrated transmission line
Published 2020“…The Random Tree standalone ML-AP relay model presented the best performing models from the ML-APS relay model with the best average performance for the correctly classified fault types of 97.61 % at 5 % significance level above other ML algorithms. …”
Get full text
Get full text
Thesis -
15
Building classification models from imbalanced fraud detection data / Terence Yong Koon Beh, Swee Chuan Tan and Hwee Theng Yeo
Published 2014“…Building classification models from such imbalanced data sets is a relatively new challenge in the machine learning and data mining community because many traditional classification algorithms assume similar proportions of majority and minority classes. …”
Get full text
Get full text
Get full text
Article -
16
Binary vote assignment on grid quorum replication technique with association rule
Published 2018“…Performance of the BVAGQ-AR technique comprised the following steps. First step is mining the data by using Apriori algorithm from Association Rules. …”
Get full text
Get full text
Thesis -
17
A novel approach to data mining using simplified swarm optimization
Published 2011“…Data mining has become an increasingly important approach to deal with the rapid growth of data collected and stored in databases. …”
Get full text
Get full text
Thesis -
18
Optimizing Tree-Based Contrast Subspace Mining Using Genetic Algorithm
Published 2022“…The experiment results showed that the proposed method performed well on several cases compared to the variation of the tree-based method.…”
Get full text
Get full text
Get full text
Get full text
Get full text
Article -
19
Logistic regression methods for classification of imbalanced data sets
Published 2012“…Classification of imbalanced data sets is one of the important researches in Data Mining community, since the data sets in many real-world problems mostly are imbalanced class distribution. …”
Get full text
Get full text
Thesis -
20
An Integrated Principal Component Analysis And Weighted Apriori-T Algorithm For Imbalanced Data Root Cause Analysis
Published 2016“…A semiconductor manufacturing case study with Work In Progress data and true alarm data is used to proof the proposed algorithm. …”
Get full text
Get full text
Get full text
Get full text
Thesis
