Logistic regression (LR) continues to be one of the most widely used methods in data mining in general and binary data classification in particular. This paper is focused on providing an overview of the most important aspects of LR when used in data analysis, specifically from an algorithmic and machine learning perspective and how LR…
International Journal of Data Analysis Techniques and Strategies Template
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About the International Journal of Data Analysis Techniques and Strategies format
International Journal of Data Analysis Techniques and Strategies is a peer-reviewed journal published by Inderscience, covering Data Mining Algorithms and Applications, Sentiment Analysis and Opinion Mining, Stock Market Forecasting Methods.
| Publisher | Inderscience |
|---|---|
| Reference style | Author–year (Harvard/AGSM) Author–year — (Smith, 2023) in the text Smith, A., Jones, B. and Lee, C. (2023) 'A representative article title', International Journal of Data Analysis Techniques and Strategies, 12(3), pp. 45–58.
Formats any DOI in International Journal of Data Analysis Techniques and Strategies style. No sign-up. |
| Publishes research in | Data Mining Algorithms and Applications Sentiment Analysis and Opinion Mining Stock Market Forecasting Methods Advanced Statistical Methods and Models Big Data and Business Intelligence |
| ISSN | 1755-8050 |
| Citation impact (2-yr) | 0.41 |
| h-index | 21 |
| i10-index | 60 |
| Total citations | 2,526 |
| Top institutions publishing here | Jaypee Institute of Information Technology |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Papers published in International Journal of Data Analysis Techniques and Strategies per year
Citation impact of International Journal of Data Analysis Techniques and Strategies by publication year
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Most-cited papers in International Journal of Data Analysis Techniques and Strategies
In this paper, we solve the customer credit card churn prediction via data mining. We developed an ensemble system incorporating majority voting and involving Multilayer Perceptron (MLP), Logistic Regression (LR), decision trees (J48), Random Forest (RF), Radial Basis Function (RBF) network and Support Vector Machine (SVM) as the constituents. The dataset was taken from the…
The purpose of the study is to identify the causes and recommend possible solutions to the Heywood cases. The study reviews the literature from 1960-2021 using the keyword search, 'Heywood cases,' 'Improper solutions,' and 'Negative variance'. The studies were explored from selected databases viz. Google Scholar, Scopus and Web of Science. The study has found…
Monoblock centrifugal pumps are widely used in a variety of applications. Defects and malfunctions (faults) of these pumps result in significant economic loss. Therefore, the pumps must be under constant monitoring. When a possible fault is detected, diagnosis is carried out to pinpoint it. In many applications, the role of monoblock centrifugal pumps is critical…
In the past few years, various quality standards and quality systems have been attempted for the improvement of the products and services in our lives. One such quality tool which has the ability to generate creative and novel solutions is Quality Function Deployment (QFD). This paper presents a detailed literature review on the topic and…