Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The process of resource distribution and load balance of a distributed P2P network can be described as the process of mining Supplement Frequent Patterns (SFPs) from query transaction database. With given minimum support ( min_sup ) and minimum share support ( min_share_sup ), each SFP includes a core frequent pattern (BFP) used to draw other frequent or sub-frequent items. A latter query returns a subset of a SFP as the result. To realize the SFPs mining, this paper proposes the structure of SFP-tree along with relative mining algorithms. The main contribution includes: (1) Describes the concept of Supplement Frequent Pattern; (2) Proposes the SFP-tree along with frequency-Ascending order header table FP-Tree (AFP-Tree) and Conditional Mix Pattern Tree (CMP-Tree); (3) Proposes the SFPs mining algorithms based on SFP-Tree; and (4) Conducts the performance experiment on both synthetic and real datasets. The result shows the effectiveness and efficiency of the SFPs mining algorithm based on SFP-Tree.
['Yintian Liu', 'Yingming Liu', 'Tao Zeng', 'Kaikuo Xu', 'Rong Tang']
I am writing a research paper on a idea Mining Supplemental Frequent Patterns
[{"from": "human", "value": "I am writing a research paper on a idea Mining Supplemental Frequent Patterns"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The process of resource distribution and load balance of a distributed P2P network can be described as the process of mining Supplement Frequent Patterns (SFPs) from query transaction database. With given minimum support ( min_sup ) and minimum share support ( min_share_sup ), each SFP includes a core frequent pattern (BFP) used to draw other frequent or sub-frequent items. A latter query returns a subset of a SFP as the result. To realize the SFPs mining, this paper proposes the structure of SFP-tree along with relative mining algorithms. The main contribution includes: (1) Describes the concept of Supplement Frequent Pattern; (2) Proposes the SFP-tree along with frequency-Ascending order header table FP-Tree (AFP-Tree) and Conditional Mix Pattern Tree (CMP-Tree); (3) Proposes the SFPs mining algorithms based on SFP-Tree; and (4) Conducts the performance experiment on both synthetic and real datasets. The result shows the effectiveness and efficiency of the SFPs mining algorithm based on SFP-Tree."}]