Cite this DOI
10.46243/jst.2022.v7.i05.pp200-205 · Decision Tree Analysis on J48 Algorithm for Data Mining
APA (7th edition)
Dr.G.Manikanta, D. (2023). Decision Tree Analysis on J48 Algorithm for Data Mining. *Journal of Science & Technology*, *7*(5), 200–205. https://doi.org/10.46243/jst.2022.v7.i05.pp200-205
⬇ text Italics are shown as *asterisks* in plain text — the journal or book title and the volume.
BibTeX
@article{drgmanikanta2023decision,
author = {Dr.G.Manikanta, Dr.G.Manikanta},
title = {{Decision Tree Analysis on J48 Algorithm for Data Mining}},
journal = {Journal of Science \& Technology},
year = {2023},
month = {jul},
volume = {7},
number = {5},
pages = {200--205},
publisher = {Longman Publishers},
issn = {2456-5660},
doi = {10.46243/jst.2022.v7.i05.pp200-205},
url = {https://doi.org/10.46243/jst.2022.v7.i05.pp200-205},
language = {en},
abstract = {The Data Mining is a technique to drill database for giving meaning to the approachable data. It involves systematic analysis of large data sets. The classification is used to manage data, sometimes tree modelling of data helps to make predictions about ne w data. This research is focussed on J48 algorithm which is used to create Univariate Decision Trees. The research study also discuss about the idea of multivariate decision tree with process of classify instance by using more than one attribute at each internal node. The core concept behind the topic is to get depth knowledge with new areas of research by explore more about data, information, knowledge, data mining techniques, and tools. All the results with experiment on Weka are finally examined}
}RIS (EndNote, Zotero, Mendeley)
TY - JOUR TI - Decision Tree Analysis on J48 Algorithm for Data Mining AU - Dr.G.Manikanta, Dr.G.Manikanta JO - Journal of Science & Technology PY - 2023 DA - 2023/07/18/ VL - 7 IS - 5 SP - 200 EP - 205 PB - Longman Publishers SN - 2456-5660 LA - en AB - The Data Mining is a technique to drill database for giving meaning to the approachable data. It involves systematic analysis of large data sets. The classification is used to manage data, sometimes tree modelling of data helps to make predictions about ne w data. This research is focussed on J48 algorithm which is used to create Univariate Decision Trees. The research study also discuss about the idea of multivariate decision tree with process of classify instance by using more than one attribute at each internal node. The core concept behind the topic is to get depth knowledge with new areas of research by explore more about data, information, knowledge, data mining techniques, and tools. All the results with experiment on Weka are finally examined DO - 10.46243/jst.2022.v7.i05.pp200-205 UR - https://doi.org/10.46243/jst.2022.v7.i05.pp200-205 ER -
CSL-JSON
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} ⬇ .json What citeproc and reference managers read; the DOI system hands it out for Accept: application/vnd.citationstyles.csl+json, and so does this registry's resolver.
From the record as registered (version 2) — the record and its history. Programs: https://registry.smartscholars.in/api.php?action=cite&doi=10.46243%2Fjst.2022.v7.i05.pp200-205 gives all four in one JSON answer.
