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Study and Analysis of Decision Tree Based Classification Algorithms
Open accessAbstract
International Journal of Computer Sciences and Engineering (A UGC Approved and indexed with DOI, ICI and Approved, DPI Digital Library) is one of the leading and growing open access, peer-reviewed, monthly, and scientific research journal for scientists, engineers, research scholars, and academicians, which gains a foothold in Asia and opens to the world, aims to publish original, theoretical and practical advances in Computer Science,Information Technology, Engineering (Software, Mechanical, Civil, Electronics & Electrical), and all interdisciplinary streams of Computing Sciences. It intends to disseminate original, scientific, theoretical or applied research in the field of Computer Sciences and allied fields. It provides a platform for publishing results and research with a strong empirical component. It aims to bridge the significant gap between research and practice by promoting the publication of original, novel, industry-relevant research.
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“Olshausen & Field (1997) [186] introduced sparse coding for the first time as a machine learning technique for learning over-complete basis to create effective data representation reducing the dimensional of data and dynamically represent the data as a linear combination of basis vectors.”
From Comparative Analysis of Intrusion Detection Systems and Machine Learning Based Model Analysis through Decision Tree (2023) · cites this paper as [186]
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Ekanayake, I. U., Meddage, D. P. P., & Rathnayake, U. (2022) · Case Studies in Construction Materials · doi:10.1016/j.cscm.2022.e01059 · Cited by 547
Azam, Z., Islam, M. M., & Huda, M. N. (2023) · IEEE Access · doi:10.1109/access.2023.3296444 · Cited by 265
“For Decision tree data came as records [186], [219], written as : The independent variables, represented by a vector x, consist of input variables such as X1, X2, X3, L, Xn, etc.”
MethodShah, A., Shah, M., Pandya, A., Sushra, R., Sushra, R., Mehta, M., Patel, K., & Patel, K. (2023) · Clinical eHealth · doi:10.1016/j.ceh.2023.08.002 · Cited by 196
A Comparative Analysis of Machine Learning Algorithms to Predict Alzheimer’s Disease
Antor, M. B., Jamil, A., Mamtaz, M., Khan, M. M., Aljahdali, S., Kaur, M., Singh, P., & Masud, M. (2021) · Journal of Healthcare Engineering · doi:10.1155/2021/9917919 · Cited by 172
“Decision tree algorithms are used to classify the characteristics to be evaluated at any node to specify the “best” splitting [12].”
MethodMachine Learning Algorithms for Depression: Diagnosis, Insights, and Research Directions
Aleem, S., Huda, N. U., Amin, R., Khalid, S., Alshamrani, S. S., & Alshehri, A. (2022) · Electronics · doi:10.3390/electronics11071111 · Cited by 184
“(4) Decision Tree (DT) Classifier: A DT [43] is a tree-like graph used as a decision support tool.”
Background
Metadata
- Authors
- Patel, H. H., & Prajapati, P.
- ORCID
- Prajapati, Purvi
- Venue
- International Journal of Computer Sciences and Engineering
- Publisher
- ISROSET: International Scientific Research Organization for Science, Engineering and Technology
- Published
- 2018-10-31
- Volume
- 6
- Issue
- 10
- Pages
- 74-78
- ISSN
- 2347-2693 (ISSN-L)
- OpenAlex
- W2908445743
- Cited by
- 441
- References
- 0
- Citations by year
- 2026: 13 · 2025: 63 · 2024: 95 · 2023: 105 · 2022: 100 · 2021: 55 · 2020: 10
- FWCI
- 26.21
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- cc-by
- Locations
- International Journal of Computer Sciences and Engineering (publishedVersion, cc-by)
- Topics
- Physical Sciences › Computer Science › Information Systems › Data Mining and Machine Learning Applications
- Physical Sciences › Computer Science › Information Systems › Data Mining Algorithms and Applications
- Health Sciences › Health Professions › Health Information Management › Artificial Intelligence in Healthcare
- Keywords
- decision tree, machine learning classifiers, decision tree classification
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