Ontology Knowledge Mining Based Association Rules Ranking
نویسندگان
چکیده
منابع مشابه
Ontology Based Post Mining of Association Rules
The Data Mining process enables the end users to analyze, understand and use the extracted knowledge in an intelligent system or to support in the decision-making processes Association refers to the data mining task of uncovering relationships among the data. In Data Mining, the usefulness of association rules is strongly limited by the huge amount of delivered rules. There are a number of ways...
متن کاملChallenges in Ontology-Based Association Rules Mining
Data mining has emerged to address the problem of drawing interesting knowledge from data. Among the most used data mining techniques, we concentrate on association rules which lead to the derivation of useful associations and correlations within data. In parallel, the advance of the ontology which is one of the most important concepts in knowledge representation, has speedily altered the way o...
متن کاملMining Association Rules for Label Ranking
Recently, a number of learning algorithms have been adapted for label ranking, including instance-based and tree-based methods. In this paper, we continue this line of work by proposing an adaptation of association rules for label ranking based on the APRIORI algorithm. Given that the original APRIORI algorithm does not aim to obtain predictive models, two changes were needed for this achieveme...
متن کاملA New Ontology Based Association Rules Mining Algorithm
For traditional data mining techniques cannot be directly applied to the semi-structured XML data mining problem, this paper proposes a novel ontology and association rules based XML mining algorithm. The algorithm firstly introduces the domain ontology and hash technology to improve the operation of emerging frequent item sets and generating association rules, then uses a hash table to store t...
متن کاملFinding of Interesting Rules from Association Mining by Ontology and Page Ranking
In Data Mining, the usefulness of association rules is strongly limited by the huge amount of delivered rules. Association rule mining is considered as one of the most important tasks in Knowledge Discovery in Databases among sets of items in transaction. To overcome this drawback, several methods were proposed in the literature such as item set concise representations, redundancy reduction, an...
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ژورنال
عنوان ژورنال: Procedia Computer Science
سال: 2016
ISSN: 1877-0509
DOI: 10.1016/j.procs.2016.08.147