Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Proposes the concept of pre-large item sets and designs a novel, efficient incremental data mining algorithm based on it. Pre-large item sets are defined using two support thresholds (a lor support threshold and an upper support threshold) to reduce re-scanning of the original databases and to save maintenance costs. The proposed algorithm doesn't need to re-scan the original database until a number of transactions have arrived. If the size of the database is growing larger, then the allod number of new transactions will be larger too. Therefore, along with the growth of the database, our proposed approach is increasingly efficient. This characteristic is especially useful for real applications.
['Tzung-Pei Hong', 'Ching-Yao Wang', 'Yu-Hui Tao']
I am writing a research paper on a idea Incremental data mining based on two support thresholds
[{"from": "human", "value": "I am writing a research paper on a idea Incremental data mining based on two support thresholds"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Proposes the concept of pre-large item sets and designs a novel, efficient incremental data mining algorithm based on it. Pre-large item sets are defined using two support thresholds (a lor support threshold and an upper support threshold) to reduce re-scanning of the original databases and to save maintenance costs. The proposed algorithm doesn't need to re-scan the original database until a number of transactions have arrived. If the size of the database is growing larger, then the allod number of new transactions will be larger too. Therefore, along with the growth of the database, our proposed approach is increasingly efficient. This characteristic is especially useful for real applications."}]