Search Results - (( developing using pls algorithm ) OR ( java application mining algorithm ))

Direct approach for mining association rules from structured XML data by Abazeed, Ashraf Riad

Get full text
Get full text

Separator Database and SPM Tree Framework for Mining Sequential Patterns Using Prefixspan with Pseudoprojection by Saputra , Dhany, Rambli, Dayang R.A., Foong, Oi Mean

Get full text
Get full text

Study and Implementation of Data Mining in Urban Gardening by Mohana, Muniandy, Lee, Eu Vern

“…Attached sensors generate data and send these data to the Java Servlet application through a WIFI module. These data are processed and stored in appropriate formats in a MySQL server database. …”
Get full text
Get full text
Get full text

Mining Sequential Patterns Using I-PrefixSpan by Dhany , Saputra, Rambli Dayang, R.A., Foong, Oi Mean

“…Sequential pattern mining is a relatively new data-mining problem with many areas of application. …”
Get full text
Get full text
Get full text

A web-based implementation of k-means algorithms by Lee, Quan

“…This stinginess of proximity measures in data mining tools is stifling the performance of the algorithm. …”
Get full text
Get full text

Mining Sequential Patterns using I-PrefixSpan by Saputra , Dhany, Dayang R.A. Rambli, Foong, Oi Mean

Get full text
Get full text

Optimal Weighted Learning of PCA and PLS for Multicollinearity Discriminators and Imbalanced Groups in Big Data (S/O: 13224) by Mahat, Nor Idayu, Engku Abu Bakar, Engku Muhammad Nazri, Zakaria, Ammar, Mohd Nazir, Mohd Amril Nurman, Misiran, Masnita

“…The developed algorithm weighted the n objects contribution in explaining the separation between groups. …”
Get full text
Get full text

Features selection for intrusion detection system using hybridize PSO-SVM by Tabaan, Alaa Abdulrahman

“…The simulation will be carried on WEKA tool, which allows us to call some data mining methods under JAVA environment. The proposed model will be tested and evaluated on both NSL-KDD and KDD-CUP 99 using several performance metrics.…”
Get full text
Get full text

Quantitative analysis of NaCl, NaOH, and β-phenylethylamine in water using ultraviolet spectroscopy coupled with partial least squares and net analyte preprocessing by Tang, Xiaojun Tang, Tong, Angxin Tong, Zhang, Feng, Wang, Bin

“…Finally, the PLS models coupled with NAP algorithm were successfully used to make the quantitative determination of NaCl, NaOH, and PEA added into the natural water, and the mean recovery rates of NaCl, NaOH, and PEA were satisfactory (95-102%). …”
Get full text
Get full text
Get full text

Disposable Biomimetic Array Sensor Strip Coupled With Chemometric Algorithm For Quality Assessment Of Orthosiphon Stamineus Benth Samples by Yap, Maxsim Mee Sim

“…A disposable screen printed array sensor strip based on self-plasticized methacrylate acrylate PVC blend lipid membranes combined with chemometric algorithm has been developed and applied for qualitative and quantitative analysis of O.stamineus samples. …”
Get full text
Get full text

Development of robust procedures for partial least square regression with application to near infrared spectral data by Silalahi, Divo Dharma

“…Several selection procedures of the optimal number of PLS components have been developed in this regard. …”
Get full text
Get full text

Partial least squares integrated national water quality standards (NWQS) for indexing of water quality from industrial effluent by Emmanuel, Freda

“…Further indexing with PLS-WQI using the algorithm programmed in Matlab R2009b which allows for the consideration of only parameters that impart the greatest influence on water quality has resulted in a better presentation of the actual water quality at each station. …”
Get full text
Get full text
Get full text

Transferring near infrared spectroscopic calibration model across different harvested seasons using joint distribution adaptation by Suarin, Nur Aisyah Syafinaz, Kim, Seng Chia

“…After that, a calibration model was developed by means of Partial Least Squares (PLS) using the transformed training dataset; and validated using the trans�formed independent testing dataset. …”
Get full text
Get full text

Influences of Cost Factors Affecting Technical Performance of Local Government Projects in Nigeria: A Partial Least Square-Structural Equation Modeling (PLS-SEM) Approach by Gambo, Nuru, Said, Ilias, Ismail, Radzi

“…A Warp partial least square-structural equation modeling (PLS-SEM) software algorithm was used for the analysis of collected data. …”
Get full text
Get full text
Get full text

Transfer learning in near infrared spectroscopy for stingless bee honey quality prediction across different months by Suarin, Nur Aisyah Syafinaz, Chia, Kim Seng, Mohamad Fuzi, Siti Fatimah Zaharah

“…Then, data from different analysis months were used as source and target datasets. Next, joint distri bution adaptation based partial least square (JDA-PLS) and transfer component analysis based PLS (TCA-PLS) were implemented to establish NIRS predictive models of moisture, hydroxymethylfurfural (HMF), and glucose quality. …”
Get full text
Get full text
Get full text

Disposable array sensor strip for quantification of sinensetin in Orthosiphon stamineus Benth samples by Mohd Noor, Ahmad, Yap Mee Sim, Maxsim, Chang Chew, Cheen, A. K. M., Shafiqul Islam, Zhari, Ismail, Misni, Surif, Ali Yeon, Md Shakaff, Larisa, Lvova

Get full text

Monitoring the drying process of glutinous rice using hyperspectral imaging coupled with multivariate analysis by Jimoh, Kabiru Ayobami, Hashim, Norhashila, Shamsudin, Rosnah, Che Man, Hasfalina, Jahari, Mahirah

“…The model prediction performance shows an accuracy (R²P) of 0.9206 with RMSEP of 1.1410. Using CARS algorithm resulted in the selection of 21 optimal wavelengths that are highly associated with the moisture content of glutinous rice during the drying process and the developed PLS model based on the selected wavelength gave an increased model accuracy with R2CV and RMSECV of 0.9176 and 1.0986 respectively. …”
Get full text
Get full text

Detection of butter adulteration with lard by employing 1H-NMR spectroscopy and multivariate data analysis by Ahmad Fadzlillah, Nurrulhidayah, Che Man, Yaakob, Abdul Rohman, Ismail, Amin, Mustafa, Shuhaimi, Rosman, Arieff Salleh, Khatib, Alfi

“…Since the spectra obtained were too complex to be analyzed visually by the naked eyes, the classification of spectra was carried out using multivariate data analysis. The spectroscopic data of butter adulterated with lard samples were chemometrically evaluated and calibrated using the partial least square (PLS) algorithm. …”
Get full text
Get full text

Long-term optimal planning for renewable based distributed generators and plug-in electric vehicles parking lots toward higher penetration of green energy technology by ALAhmad A.K., Verayiah R., Shareef H., Ramasamy A.

“…A critical element of this transition is the development of efficient infrastructure for plug-in electric vehicle parking lots (PEV-PLs). …”

What drives Chinese youth to use fitness-related health information on social media? an analysis of intrinsic needs, social media algorithms, and source credibility by Zhang, Xin, Tang, Qing Qing, Cai, Ying Ying

“…Data were analyzed using Partial Least Squares-Structural Equation Modeling (PLS-SEM) to examine the relationships between variables. …”
Get full text
Get full text
Get full text