Classify
Data Classification
Data Classification
Classification
Key Techniques in Text Analysis
Support Vector
Classification
Identification
Javanese-cat 
All other organizations
classify the animals as a special species of the Balinese
...
Data Classification By
classifying data, organizations can enhance their decision-making processes, improve data retrieval, and facilitate better data governance
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Data Classification Enhanced Data Security:
Classifying data helps organizations apply appropriate security measures based on the sensitivity and importance of the data
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Classification Testing Phase: The trained model is then used to
classify new data points that do not have known labels
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Key Techniques in Text Analysis Named Entity Recognition (NER): Identifying and
classifying key entities in the text, such as names, dates, and locations
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Support Vector Some notable applications include: Image Classification: SVMs are used to
classify images based on their features
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Classification For example,
classifying emails as either 'spam' or 'not spam
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Identification Decision Trees: A flowchart-like structure that helps
classify data based on decision rules
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Morphometry By measuring and analyzing various morphological features, scientists can
classify species, identify subspecies, and even track changes in populations over time
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Pattern Recognition The main goal is to enable computers to identify and
classify data based on learned patterns, which can lead to improved business strategies and outcomes
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