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International Journal of Information Retrieval Research (IJIRR)
Open Access Journal
Emerging Sources Citation Index

International Journal of Information Retrieval Research (IJIRR)

This journal was converted to full Gold Open Access on January 1, 2022
Editor-in-Chief: Zhongyu Lu
Indexed In: INSPEC, Web of Science Emerging Sources Citation Index (ESCI) and 16 more indices
Published: Continuous Volume |Established: 2011
ISSN: 2155-6377|EISSN: 2155-6385|DOI: 10.4018/IJIRR
Latest Published Articles
Published: Feb 16, 2023
DOI: 10.4018/IJIRR.318399
Volume 13
Diksha Malhotra, Rajesh Bhatia, Manish Kumar
The deep web is comprised of a large corpus of information hidden behind the searchable web interfaces. Accessing content through searchable interfaces is somehow a challenging task. One of the... Show More
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Malhotra, Diksha, et al. "Automated Selection of Web Form Text Field Values Based on Bayesian Inferences." vol.13, no.1 2023: pp.1-13.


Malhotra, D., Bhatia, R., & Kumar, M. (2023). Automated Selection of Web Form Text Field Values Based on Bayesian Inferences. , 13(1), 1-13.


Malhotra, Diksha, Rajesh Bhatia, and Manish Kumar. "Automated Selection of Web Form Text Field Values Based on Bayesian Inferences," 13, no.1: 1-13.

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Published: Feb 3, 2023
DOI: 10.4018/IJIRR.317087
Volume 13
Reshu Agarwal, Adarsh Dixit
This paper presents a comparative research study between a number of data mining techniques, knowledge discovery tools, data analysis and software packages to be used in a Decision Support System... Show More
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Agarwal, Reshu, and Adarsh Dixit. "Water Supply Chain Resource Management in Cities Using Data Mining Techniques." vol.13, no.1 2023: pp.1-14.


Agarwal, R. & Dixit, A. (2023). Water Supply Chain Resource Management in Cities Using Data Mining Techniques. , 13(1), 1-14.


Agarwal, Reshu, and Adarsh Dixit. "Water Supply Chain Resource Management in Cities Using Data Mining Techniques," 13, no.1: 1-14.

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Published: Jan 13, 2023
DOI: 10.4018/IJIRR.316125
Volume 13
B. Subbulakshmi, C. Deisy, S. Parthasarathy
Associative classification (AC) performs much better than other traditional classifiers. It generates a huge number of class association rules (CARs). Since users are interested in the subset of... Show More
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B. Subbulakshmi, et al. "A Novel Incremental Framework for Building Classifier Using Constraint Class Association Rules." vol.13, no.1 2023: pp.1-21.


B. Subbulakshmi, C. Deisy, & Parthasarathy, S. (2023). A Novel Incremental Framework for Building Classifier Using Constraint Class Association Rules. , 13(1), 1-21.


B. Subbulakshmi, C. Deisy, and S. Parthasarathy. "A Novel Incremental Framework for Building Classifier Using Constraint Class Association Rules," 13, no.1: 1-21.

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Description, Mission, Scope & Coverage
The International Journal of Information Retrieval Research (IJIRR) publishes original, innovative, and creative research in the retrieval of information. This journal focuses on theories and methods with an enterprise-wide perspective and addresses interdisciplinary and multidisciplinary... Show More
Mission & Scope:
The mission of the International Journal of Information Retrieval Research (IJIRR) is to provide an outlet for researchers to present their research and obtain inspiration in the areas of information retrieval, computer science, and information science. Focusing on theories, methods, technologies, and tools, IJIRR is aimed towards information engineers, scientists, and related professionals.... Show More
  • Advanced software development related information retrieval issues
  • Classification
  • Clustering approaches
  • Content and context awareness and environment awareness
  • Filtering system
  • Index techniques
  • Information mining
  • Information retrieval in cloud computing issues
  • Information retrieval in education
  • Information retrieval in healthcare
  • Information retrieval in science, engineering, and technologies
  • Information retrieval in social science, social behaviors
  • Information retrieval with business, commerce, etc.
  • Information retrieval with Internet of Things
  • Knowledge mining
  • Link analysis
  • Machine learning on documents
  • Message passing
  • Metadata and XML retrieval
  • Mobile computing related information retrieval issues
  • Multimedia Retrieval
  • Performance Measures
  • Query languages and optimization
  • Retrieval architecture
  • Retrieval evaluation
  • Retrieval languages and operations
  • Retrieval strategies
  • Retrieval Systems
  • Retrieval theories
  • Retrieval with big data technologies
  • Scalability
  • Search algorithms
  • Search engine
  • Social media related information retrieval issues
  • Taxonomy theory and applications
  • Text Mining
  • Text, document, and image retrieval
  • Web Mining
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Submit to This Journal
This journal is currently actively seeking new submissions. Interested authors should ensure that their article manuscript adheres to the journal's submission guidelines and before you write page, which include originality of the manuscript, APA formatting information and examples, manuscript requirements, and more. To submit an article for consideration, please begin the submission process below.
Submission-Related Inquiries
All inquiries regarding IJIRR should be directed to the attention of:

Zhongyu Lu
International Journal of Information Retrieval Research

Author Services Inquiries
For inquiries involving pre-submission concerns, please contact the Journal Development Division:

Open Access Inquiries
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For inquiries involving sharing, promoting, and indexing of manuscripts, please contact the Citation Metrics & Indexing Division:

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