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AOI HEP as new proposed data mining technique that combines two data mining techniques attribute oriented induction 12 characteristic rule and emerging patterns 34 which enhanced become high emerging patterns technique Attribute oriented induction uses concept hierarchy as background knowledge eliminate distinct attributes and tuples until less equal than thresholds and emerging patterns discriminates 2 datasets which growth rates are greater than given threshold Attribute oriented induction concerns with high level data and the other hand emerging patterns concerns with low level data There are many current AOI research and some of them such as Chen et al propose global AOI method which employs the multiple-level mining technique with multiple minimum supports to general all interesting generalized knowledge 7 Wu et al proposed a global negative attribute-oriented induction GNAOI approach that can generate comprehensive and multiple-level negative generalized knowledge at the same time 8 Muyeba et al proposed clusterAOI a hybrid interestingness heuristic algorithm where uses attribute features such as concept hierarchies and distinct domain attribute values to dynamically recalculate new attribute thresholds for each of the less significant attributes 9 Huang et al introduced The Modified Attribute-Oriented Induction MAOI method to deal with the multi-valued attribute table and further sort the readers into different clusters Instead of using concept hierarchy and concept trees MAOI method implemented the concept climbing and generalization of multi-valued attribute table with Boolean Algebra and modified Karnaugh Map and described the clusters with concept description 10As AOI emerging pattern have some current research such as Stepinski et al applied emerging pattern to raster geospatial dataset 11 while Piao et al using emerging pattern to define and analyze the significant difference of safe and non-safe power load lines and identifying which line is potentially unsafe and proposed an incremental TFP-tree algorithm for mining emerging patterns that can search efficiently within memory limitation 12 Tzanis et al proposed PolyAiEP where to exploits the advantages of emerging patterns as to maintain the high
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