Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Exceptional model mining has been proposed as a variant of subgroup discovery especially focusing on complex target concepts. Currently, efficient mining algorithms are limited to heuristic (non exhaustive) methods. ,  propose a novel approach for fast exhaustive exceptional model mining:  introduce the concept of valuation bases as an intermediate condensed data representation, and present the general GP-growth algorithm based on FP-growth. Furthermore,  discuss the scope of the proposed approach by drawing an analogy to data stream mining and provide examples for several different model classes. Runtime experiments show improvements of more than an order of magnitude in comparison to a naive exhaustive depth-first search.
['Florian Lemmerich', 'Martin Becker', 'Martin Atzmueller']
I am writing a research paper on a idea Generic pattern trees for exhaustive exceptional model mining
[{"from": "human", "value": "I am writing a research paper on a idea Generic pattern trees for exhaustive exceptional model mining"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Exceptional model mining has been proposed as a variant of subgroup discovery especially focusing on complex target concepts. Currently, efficient mining algorithms are limited to heuristic (non exhaustive) methods. ,  propose a novel approach for fast exhaustive exceptional model mining:  introduce the concept of valuation bases as an intermediate condensed data representation, and present the general GP-growth algorithm based on FP-growth. Furthermore,  discuss the scope of the proposed approach by drawing an analogy to data stream mining and provide examples for several different model classes. Runtime experiments show improvements of more than an order of magnitude in comparison to a naive exhaustive depth-first search."}]