MLchartDataset catalogue

Data mining

Term · Chemistry · MLC-T-CHM-002865

The process of discovering patterns, trends, and insights from large datasets using computational algorithms and statistical methods. In chemistry and drug design, it involves extracting meaningful information from chemical databases, biological assay results, and patient data. This technique can be applied to identify potential drug candidates or predict molecular properties.

Table 1. Record
IdentifierMLC-T-CHM-002865
FieldChemistry
SubjectChemistry and Human Health
ReferencesPAC, 2016, 88, 239. 'Glossary of terms used in computational drug design, part II (IUPAC Recommendations 2015)' on page 245 (https://doi.org/10.1515/pac-2012-1204)
Record as JSON
{
  "id": "MLC-T-CHM-002865",
  "term": "Data mining",
  "field": "Chemistry",
  "definition": "The process of discovering patterns, trends, and insights from large datasets using computational algorithms and statistical methods. In chemistry and drug design, it involves extracting meaningful information from chemical databases, biological assay results, and patient data. This technique can be applied to identify potential drug candidates or predict molecular properties.",
  "subject": "Chemistry and Human Health",
  "references": [
    "PAC, 2016, 88, 239. 'Glossary of terms used in computational drug design, part II (IUPAC Recommendations 2015)' on page 245 (https://doi.org/10.1515/pac-2012-1204)"
  ],
  "url": "https://mlchart.com/terminology/chemistry/data-mining/"
}

Record 3,044 of 13,676 in Chemistry terminology (MLC-0109). Request the full dataset.