DATA MINING PREPARATION: PROCESS, TECHNIQUES AND MAJOR ISSUES IN DATA ANALYSIS
نویسندگان
چکیده
Data preparation is an iterative-agile process for exploring, combining, cleaning and transforming raw data into curated datasets self-service integration, science, discovery, BI/analytics. To perform preparation, tools are used by analysts, citizen scientists self- service. The also integrators engineers enablement to reduce the time complexity of interactively accessing, cataloging, harmonizing, modeling analytics in agile manner with metadata lineage support. These can provide access use mostly analytical tasks that include storage, logical physical modeling, manipulation visualization, integration analytics. Some support machine-learning algorithms recommend or even automate actions augment accelerate preparation. Keywords: Mining, Analysis, Big Analytics
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ژورنال
عنوان ژورنال: Indian Scientific Journal Of Research In Engineering And Management
سال: 2022
ISSN: ['2582-3930']
DOI: https://doi.org/10.55041/ijsrem16833