2017年1月1日 · The proposed approach is developed based on Pair-wisely Optimized Clustering tree (POC-tree) that exploits the benefit of hierarchical clustering and Voronoi decomposition. The POC-tree maximizes the separation space of every pair of clusters at each level of decomposition, making a compact representation of the underlying data.

In this paper we proposed an enhanced POC tree based algorithm for association rule mining. The association rules of the proposed algorithm provide significant heuristics to make cache replacement decisions besides achieving correlation of data items. This algorithm employs light-weight and scalable data structure known as Nodesets.

We evaluated T-mine using Brazilian Flight Data and compared T-mine with the direct application of frequent pattern mining approaches with and without functional dependencies. Our experiments...

2021年10月1日 · The FP-Tree is a data structure able to represent the database in a compressed way into the main memory. As for the last step, FP-Growth uses the FP-Tree to compute recursively for each item the association rules.

2016年8月1日 · The proposed approach is developed based on Pair-wisely Optimized Clustering tree (POC-tree) that exploits the benefit of hierarchical clustering and Voronoi decomposition....

通用简单工具项目. Contribute to ZBayes/poc_project development by creating an account on GitHub.

PoC (Proof of Concept) caching optimization algorithm for graphical tree environment, written entirely in pure C++. After I had finished the 11th grade in high school, I had 2 weeks of compulsory internship at a legitimate software company in Sofia, Bulgaria.

Contribute to TutorFx/TREE-STRUCTURE-ECOMMERCE-POC development by creating an account on GitHub.

2017年1月1日 · The proposed approach is developed based on Pair-wisely Optimized Clustering tree (POC-tree) that exploits the benefit of hierarchical clustering and Voronoi decomposition. The POC-tree maximizes the separation space of every pair of clusters at each level of decomposition, making a compact representation of the underlying data.

2015年4月1日 · A single POC-tree can be used to create effective index of data for both exact and approximate nearest neighbour search. We also present a new method to combine multiple weak POC-trees for boosting the search performance for specific datasets in very high dimensional space.