Inderscience

International Journal of Data Analysis Techniques and Strategies Template

Write in a clean editor, then format for International Journal of Data Analysis Techniques and Strategies in one click — DocuGuru applies the official Inderscience template with author–year references and exports a submission-ready PDF plus the editable LaTeX source. Free to start.

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.

PublisherInderscience
Reference styleAuthor–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 inData Mining Algorithms and Applications Sentiment Analysis and Opinion Mining Stock Market Forecasting Methods Advanced Statistical Methods and Models Big Data and Business Intelligence
ISSN1755-8050
Citation impact (2-yr)0.41
h-index21
i10-index60
Total citations2,526
Top institutions publishing hereJaypee Institute of Information Technology
You getA submission-ready PDF and the editable LaTeX source — ready to submit.

Papers published in International Journal of Data Analysis Techniques and Strategies per year

21
2014
24
2015
31
2016
37
2017
53
2018
23
2019
37
2020
35
2021
42
2022
32
2023
61
2024
37
2025

Citation impact of International Journal of Data Analysis Techniques and Strategies by publication year

132
2014
161
2015
115
2016
195
2017
107
2018
70
2019
85
2020
52
2021
117
2022
31
2023
43
2024
3
2025

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

Logistic regression in data analysis: an overview

Maher Maalouf · 1 Jan 2011

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…

Predicting credit card customer churn in banks using data mining

Dudyala Anil Kumar, Vadlamani Ravi · 1 Jan 2008

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…

Heywood cases: possible causes and solutions

Rayees Farooq · 1 Jan 2022

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…

Application of Support Vector Machine (SVM) and Proximal Support Vector Machine (PSVM) for fault classification of monoblock centrifugal pump

N.R. Sakthivel, V. Sugumaran, Binoy B. Nair · 4 Dec 2009

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…

Quality function deployment: a comprehensive literature review

Jitendra Sharma, A.M. Rawani, Milind Barahate · 1 Jan 2008

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…

International Journal of Data Analysis Techniques and Strategies template — frequently asked questions

How do I write a paper in the International Journal of Data Analysis Techniques and Strategies format?
In DocuGuru you write your manuscript in a normal editor — no LaTeX setup required — and select the International Journal of Data Analysis Techniques and Strategies template. When you export, DocuGuru compiles the paper into the official Inderscience format and hands you a submission-ready PDF along with the editable LaTeX source.
What reference style does International Journal of Data Analysis Techniques and Strategies use?
International Journal of Data Analysis Techniques and Strategies uses Author–year (Harvard/AGSM) references, shown as author–year markers such as (Smith, 2023) in the text. DocuGuru formats every in-text citation and the reference list in this exact style automatically. A reference appears like this: 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.
Do I need to know LaTeX to submit to International Journal of Data Analysis Techniques and Strategies?
No. DocuGuru generates the singlecol-new LaTeX class and compiles the PDF for you in the background, so you get a Inderscience-ready International Journal of Data Analysis Techniques and Strategies document without writing any LaTeX. If you do want it, the LaTeX source is included in the export.
Can I import an existing draft into the International Journal of Data Analysis Techniques and Strategies template?
Yes. Paste or upload your current manuscript — Word, LaTeX, Markdown, or plain text — and DocuGuru reflows it into the International Journal of Data Analysis Techniques and Strategies format with correct headings, figures, tables, and author–year citations.
Who publishes International Journal of Data Analysis Techniques and Strategies?
International Journal of Data Analysis Techniques and Strategies is a engineering and computer science journal published by Inderscience. DocuGuru's International Journal of Data Analysis Techniques and Strategies template matches Inderscience's official submission format.
Can I export a submission-ready International Journal of Data Analysis Techniques and Strategies PDF?
Yes — DocuGuru produces a PDF built with the official International Journal of Data Analysis Techniques and Strategies template (the singlecol-new class) that is ready to submit to Inderscience, together with the matching LaTeX source files.
How much does the International Journal of Data Analysis Techniques and Strategies template cost?
You can start writing in the International Journal of Data Analysis Techniques and Strategies template for free. Exporting the final submission-ready International Journal of Data Analysis Techniques and Strategies PDF and LaTeX source is part of DocuGuru's paid plans — see the app for current pricing.
Use the International Journal of Data Analysis Techniques and Strategies template