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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)
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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
Call For Paper - Volume 13 | Issue 11 | Month- November 2025
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Published Paper Details:
Paper Title
A Data-Mining Technique-Based Software Maintenance Prediction System
Authors
MANOJ PAL, SATVIR
Keywords
Data mining, Maintenance prediction system, production optimization, Predictive maintenance
Abstract
In today's fast-paced industrial environment, maintenance has become an important aspect to ensure equipment reliability and optimize production processes. This paper proposes a new maintenance prediction system based on data mining technology, using Data mining and machine learning algorithms to predict equipment failures and reduce downtime. By integrating historical maintenance data, real-time sensor readings and expert knowledge, our systems can identify patterns and anomalies to predict potential failures. We use [insert metric/dataset] to evaluate the performance of the system and demonstrate its effectiveness in improving maintenance schedules, reducing costs and increasing overall equipment efficiency. The proposed system provides a scalable and adaptable solution for industries seeking to adopt data-driven maintenance strategies.
IJCRT's Publication Details
Unique Identification Number - IJCRT2409032
Paper ID - 267073
Page Number(s) - a283-a298
Pubished in - Volume 12 | Issue 9 | September 2024
DOI (Digital Object Identifier) -
Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
MANOJ PAL, SATVIR, "A Data-Mining Technique-Based Software Maintenance Prediction System", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.12, Issue 9, pp.a283-a298, September 2024, Available at :http://www.ijcrt.org/papers/IJCRT2409032.pdf
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November 2025
Volume 13 | Issue 11
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Submit Manuscript Online Impact Factor: 7.97 Review Results : Within 02-03 Days Paper Publication : Within 02-03 Days
November 2025
Volume 13 | Issue 11
Last Date :
30-Nov-2025
Submit Manuscript Online Impact Factor: 7.97 Review Results : Within 02-03 Days Paper Publication : Within 02-03 Days
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
ISSN and 7.97 Impact Factor Details
ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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