scholarly journals Determination and Classification of Crew Productivity with Data Mining Methods

Data Mining ◽  
2018 ◽  
Author(s):  
Abdullah Emre Keleş ◽  
Mümine Kaya Keleş
Keyword(s):  
Data Mining ◽  
Mining Methods

A data mining approach to the diagnosis of failure modes for two serial fastened sandwich composite plates

2016 ◽  
Vol 51 (20) ◽  
pp. 2853-2862 ◽  
Author(s):  
Serkan Ballı
Keyword(s):  
Data Mining ◽  
Random Forest ◽  
Failure Modes ◽  
Composite Plates ◽  
Study Data ◽  
Sandwich Composite ◽  
Support Vector ◽  
Geometrical Parameters ◽  
Mining Methods

The aim of this study is to diagnose and classify the failure modes for two serial fastened sandwich composite plates using data mining techniques. The composite material used in the study was manufactured using glass fiber reinforced layer and aluminum sheets. Obtained results of previous experimental study for sandwich composite plates, which were mechanically fastened with two serial pins or bolts were used for classification of failure modes. Furthermore, experimental data from previous study consists of different geometrical parameters for various applied preload moments as 0 (pinned), 2, 3, 4, and 5 Nm (bolted). In this study, data mining methods were applied by using these geometrical parameters and pinned/bolted joint configurations. Therefore, three geometrical parameters and 100 test data were used for classification by utilizing support vector machine, Naive Bayes, K-Nearest Neighbors, Logistic Regression, and Random Forest methods. According to experiments, Random Forest method achieved better results than others and it was appropriate for diagnosing and classification of the failure modes. Performances of all data mining methods used were discussed in terms of accuracy and error ratios.

Data mining methods for the classification of high-resolution electrocardiograms

2011 ◽  
Vol 44 (2) ◽  
pp. e39-e40
Author(s):  
Maik Götze ◽  
Christian Wolff ◽  
Bernd Krause ◽  
Dietrich Romberg
Keyword(s):  
Data Mining ◽  
High Resolution ◽  
Mining Methods

scholarly journals Inventory, Conservation Statement and Classification of Bird Trade in Cianjur based on Data Mining Methods

2019 ◽  
Vol 8 (2S7) ◽  
pp. 22-24
Keyword(s):  
Data Mining ◽  
Conservation Status ◽  
Bird Species ◽  
Dominance Status ◽  
Rule Based ◽  
Search Results ◽  
The Status ◽  
Mining Methods ◽  
Total Species

Currently in the community many who keep birds. To get the birds people are looking for in the bird market. Total species of birds traded (Kabupaten Cianjur) as many as 46 types of 23 tribes. From the search results were found by IUCN endangered bird species but by law in Indonesia excluding protected ones such as the species of ekelgeling (Cissathalassina) whose conservation status is highly endangered. The excavation of the rule based on available data using the c45 algorithm shows that the dominance status of bird species in the Cipanas area has a significant influence on the status of the dominance of bird species for the entire Cianjur region.

scholarly journals Genomic Scoring Detection in Carcinoma to Mast Cells by using Hybrid Algorithms of Data Mining

2020 ◽  
Vol 9 (3) ◽  
pp. 1759-1763
Keyword(s):  
Data Mining ◽  
Artificial Immune System ◽  
Cross Validation ◽  
Artificial Immune ◽  
Malignant Growth ◽  
Basic Work ◽  
The Mean ◽  
Mining Methods ◽  
The Given

It concentrated on assessing the discovery of lung disease in patients with Data mining methods. The mining is a learning revelation to burrow the tremendous measure of information into the required signatures. It changes over the crude information into a reasonable format.A classification of the information dependent on the required viewpoints from the concealed revelation is a basic work on Data mining. It starts the half and half technique contains Correlated Feature Selection, Random subset which aides of pre-preparing, Classification (SRF, MP and AR, WIHW), Zero R, Clustering (Hierarchical), 10 cross Validation (PCA), and Visualization by applying the preparation informational collection. Subsequently, pre-processing used to expel the deformity framework which gives the consistency of the information by utilizing the information mining methods. What's more, it analyzes the uprightness of information with change on the covariance framework separately. Particularly in the arbitrary subset used to uncover the preparation information to progress on the irritation distinguishing framework. It proceeds onward to isolate the information before done at this point to the bunching which controls the mean blunder identification on the given framework. Zero R predicts the imperfection framework specifically organ degenerative of the human body. It orders the information handling due to applying the CFS techniques. It gives the best precise outcome while connected the 10 cross-approvals to envision the deformity framework which gets to the AIS (Artificial Immune System). At last, it found the probability and best result for recognizing the lung malignant growth and the different portrayals precisely.

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