Abstract One of the main difficulties of pattern mining is to deal with items of different nature in the same itemset, which can occur in any domain except ...
Abstract: One of the main difficulties of pattern mining is to deal with items of different nature in the same itemset, which can occur in any domain except ...
Abstract: One of the main difficulties of pattern mining is to deal with items of different nature in the same itemset, ; which can occur in any domain except ...
The goal of pattern mining is to find the set of recorded facts that occur simultaneously, a significant number of times. Naturally, this number is a user ...
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This paper proposes a new method for mining patterns over multi-language data, through the use of the D2FP-Growth algorithm and a language constraint, both ...
Since its formulation, pattern mining has been focused both in the development of mining algorithms and in its extension to address new challenges, ...
Firstly, domain knowledge can be used to constrain the search space and the rule space of the discovery process. e.g. AR-rules. (discussed in further detail in ...
Bibliography of Software Language Engineering in Generated Hypertext (BibSLEIGH) is created and maintained by Dr. Vadim Zaytsev. Hosted as a part of SLEBOK on ...
The framework uses a domain ontology to represent background knowledge, that can be used to impose constraints in the mining process. The user benefits from a ...
An ontology-based framework for mining patterns in the presence of background knowledge. ... Incorporating domain knowledge into data mining process: An ...