FUFM-High Utility Itemsets in Transactional Database

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Provided by: International Journal of Computer Science and Mobile Computing (IJCSMC)
Topic: Big Data
Format: PDF
Data mining and knowledge discovery from data bases has received much attention in recent years. Data mining, the extraction of hidden predictive information from large databases, is a powerful new technology with great potential to help companies focus on the most important information in their data warehouses. The Knowledge Discovery in Databases (KDD) is the non-trivial process of identifying valid, previously unknown and potentially useful patterns in data. These patterns are used to make predictions or classifications about new data, explain existing data, summarize the contents of a large database to support decision making and provide graphical data visualization to aid humans in discovering deeper patterns.
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