A new web-based solution for modelling data mining processes

Medvedev, Viktor; Kurasova, Olga; Bernatavičienė, Jolita; Treigys, Povilas; Marcinkevičius, Virginijus; Dzemyda, Gintautas

doi:10.1016/j.simpat.2017.03.001

Cited by 30 publications

(15 citation statements)

References 28 publications

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“…V. Medvedev et al [9] in this paper the author had projected a new mechanism for web-based solution called as DAMIS, motivated through the Cloud, was projected and executed. By constructing scientific workflows for data mining by applying a drag and drop interface for knowledge scientists and business intelligence professionals the constructed massive data mining easy, efficient, and understandable was allowed.…”

Section: Related Workmentioning

confidence: 99%

MF-NB Learning Based Approach for Recommendation System

Bhagat¹,

Shashi²,

M³

2018

IJITCS

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The Multi Factor-Naive Bayes classifier based recommendation system is analyzed with respect to the traditional KNN classifier based recommendation system. The classification of the web usage data is done on the basis of the keyword name, keyword count, inbound links and age group of the users. Whereas, in traditional KNN the URL was the only factor that was considered for the purpose of classification. The performance evaluation is done in the terms of RMSE, Error Rate, Accuracy Rate and Precision. The MF-NB is observed to be outperforming the KNN classifier in all respective terms.

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Section: Related Workmentioning

confidence: 99%

MF-NB Learning Based Approach for Recommendation System

Bhagat¹,

Shashi²,

M³

2018

IJITCS

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“…The goal is to build the data mining method more effective and simpler to handle by the professionals in the business intelligences and data scientists. This allows to develop the convenient model for data mining process by incorporating many methods [5].…”

Section: Introductionmentioning

confidence: 99%

Stock Price Forecasting Framework based on the Support Vector Regression and Monte Carlo Method

2019

IJRTE

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Stock market and its prices prediction are considered as one of the challenging task in financial forecasting. In my research, the framework is created based on the support vector regression (SVR) and Monte Carlo method to predict the stock price. The radial basis function (RBF) has high capacity, simpler design, and adopted for kernel function in SVR. The stock price of four companies Microsoft, Facebook, Amazon and Google is used to analyze the efficiency of the proposed method. The different parameters like mean square error (MSE), mean absolute error (MAE) measured to estimate the outcome of the proposed method. The experimental result showed the efficiency of the SVR-Monte Carlo in terms of error value. The MSE for the SVR-Monte Carlo in Google stock obtained as 0.2162 and MAE for the predicted value is 0.0164.

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“…In medicine, data come from various sources, including magnetic resonance imaging, thermovision, radiological, tomographic, ultrasound examination [2,12]. Various data analysis methods and software tools find application in mining these data [14,15]. Spectroscopic techniques may also be a convenient tool for medical diagnostics as they are non-invasive and can be used for many diagnostic purposes [19].…”

Section: Introductionmentioning

confidence: 99%

The ROC-based analysis of spectroscopic signals from medical specimens

Gėgžna

Kurasova

Dzemyda

et al. 2019

NAMC

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Accurate methods of rapid medical diagnostics would obtain recognition among clinicians. In this paper, we present a ROC (receiver operating characteristic) analysis based approach to investigate intrinsic fluorescence spectra of medical samples. The approach provides researchers with capabilities for both spectroscopic feature selection and classification tasks. The method is illustrated using data obtained from samples of uterine cervix's tissues (normal, inflammatory, and precancerous conditions), but it is applicable for data from other types of medical specimens too. The results indicate the possibility to identify spectral ranges at which differences between various medical conditions are most evident as well as potential to apply the method for inflammation (cervicitis) vs. other medical conditions' diagnostics.

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A new web-based solution for modelling data mining processes

Cited by 30 publications

References 28 publications

MF-NB Learning Based Approach for Recommendation System

MF-NB Learning Based Approach for Recommendation System

Stock Price Forecasting Framework based on the Support Vector Regression and Monte Carlo Method

The ROC-based analysis of spectroscopic signals from medical specimens

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