Different Data Mining Algorithms: A Performance Analysis

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Provided by: International Journal of Emerging Trends & Technology in Computer Science (IJETTCS)
Topic: Data Management
Format: PDF
Data mining (also called knowledge discovery in databases) represents the process of extracting interesting and previously unknown knowledge (patterns) from data. By applying artificial intelligence together with analytical methods data can be extracted. An association rule expresses the dependence of a set of attribute-value pairs, called items, upon another set of items (item set). The association rule mining algorithms can be classified into two main groups: the level-wise algorithms and the tree-based algorithms. The level-wise algorithms scan the entire database multiple time but they have moderate memory requirement.
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