A new incremental relational association rules mining approach
نویسندگان
چکیده
منابع مشابه
Incremental Mining on Association Rules
The discovery of association rules has been known to be useful in selective marketing, decision analysis, and business management. An important application area of mining association rules is the market basket analysis, which studies the buying behaviors of customers by searching for sets of items that are frequently purchased together. With the increasing use of the record-based databases whos...
متن کاملIncremental Mining of Association Rules: A Survey
The association rule mining has been very useful in many applications such as, market analysis, web data analysis, decision making, knowing customer trends etc. In transactional databases as time advances, new transactions are being added and obsolete transactions are discarded. Incremental mining deals with generating association rules based on available knowledge (obtained from mining of prev...
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Mining association rules is a well-studied problem, and several algorithms were presented for finding large itemsets. In this paper we present a new algorithm for incremental discovery of large itemsets in an increasing set of transactions. The proposed algorithm is based on partitioning the database and keeping a summary of local large itemsets for each partition based on the concept of negati...
متن کاملPropositionalization Through Relational Association Rules Mining
In this paper we propose a novel (multi-)relational classification framework based on propositionalization. Propositionalization makes use of discovered relational association rules and permits to significantly reduce feature space through a feature reduction algorithm. The method is implemented in a Data Mining system tightly integrated with a relational database. It performs the classificatio...
متن کاملMining Relational Association Rules for Propositional Classification
In traditional classification setting, training data are represented as a single table, where each row corresponds to an example and each column to a predictor variable or the target variable. However, this propositional (featurebased) representation is quite restrictive when data are organized into several tables of a database. In principle, relational data can be transformed into propositiona...
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ژورنال
عنوان ژورنال: Procedia Computer Science
سال: 2018
ISSN: 1877-0509
DOI: 10.1016/j.procs.2018.07.216