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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}
}

⬇ .bib

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  -

⬇ .ris

CSL-JSON

{
    "type": "article-journal",
    "id": "10.46243/jst.2022.v7.i05.pp200-205",
    "DOI": "10.46243/jst.2022.v7.i05.pp200-205",
    "URL": "https://doi.org/10.46243/jst.2022.v7.i05.pp200-205",
    "title": "Decision Tree Analysis on J48 Algorithm for Data Mining",
    "source": "Smart Scholars DOI Registry",
    "container-title": "Journal of Science & Technology",
    "author": [
        {
            "family": "Dr.G.Manikanta",
            "given": "Dr.G.Manikanta"
        }
    ],
    "issued": {
        "date-parts": [
            [
                2023,
                7,
                18
            ]
        ]
    },
    "volume": "7",
    "issue": "5",
    "page": "200-205",
    "publisher": "Longman Publishers",
    "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",
    "ISSN": "2456-5660"
}

⬇ .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.

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