3/14/2024 0 Comments Finite state automata clickstream![]() ![]() ![]() Under this framework, we implemented two widely used HPM techniques, sequential pattern mining (SPM) and disjunctive rule mining (DRM) on the Automata Processor (AP), a hardware implementation of non-deterministic finite automata (NFAs). We propose a flexible, hardware-accelerated framework for mining hierarchical patterns with Apriori-based algorithms, which leads to multi-pass pruning strategies but exposes massive parallelism. When compared with a set-mining problem or a string-mining problem, the computation complexity to recognize a pattern with hierarchical structure, and the large associated search space, make hierarchical pattern mining (HPM) extremely expensive on conventional processor architectures. ![]() Mining complex patterns with hierarchical structures becomes more and more important to understand the underlying information in large and unstructured databases. ![]()
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