Genetic algorithm-based optimized association rule mining for multi-relational data

Job shop scheduling problem (JSP) is the most typical scheduling problem, In the process of JSP based on genetic algorithm (GA), large amounts of data will be produced. Mining them to find the useful information is necessary. In this paper dividing, hashing and array (DHA) association rule mining algorithm is used to find the frequent itemsets which contained in the process, and extract the corresponding association rules. Concept hierarchy is used to interpret the rules, and lots of useful rules appeared. It provides a new way for JSP study.

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Two-level parallel CPU/GPU-based genetic algorithm for association rule mining

International Journal of Computational Science and Engineering ◽

10.1504/ijcse.2020.107366 ◽

2020 ◽

Vol 22 (2/3) ◽

pp. 335

Author(s):

Leila Hamdad ◽

Zakaria Ournani ◽

Karima Benatchba ◽

Ahcène Bendjoudi

Keyword(s):

Genetic Algorithm ◽

Association Rule ◽

Association Rule Mining ◽

Rule Mining

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Peculiarly Approaches for Association Rule Mining using Genetic Algorithm

2018 Fourth International Conference on Advances in Electrical, Electronics, Information, Communication and Bio-Informatics (AEEICB) ◽

10.1109/aeeicb.2018.8480991 ◽

2018 ◽

Author(s):

Hemant Kumar Soni

Keyword(s):

Genetic Algorithm ◽

Association Rule ◽

Association Rule Mining ◽

Rule Mining

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Association Rule Mining Using Genetic Algorithm: The role of Estimation Parameters

Advances in Computing and Communications - Communications in Computer and Information Science ◽

10.1007/978-3-642-22709-7_62 ◽

2011 ◽

pp. 639-648 ◽

Cited By ~ 2

Author(s):

K. Indira ◽

S. Kanmani

Keyword(s):

Genetic Algorithm ◽

Association Rule ◽

Association Rule Mining ◽

Rule Mining ◽

Estimation Parameters

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Association Rule Mining of Relational Data

Encyclopedia of Data Warehousing and Mining, Second Edition ◽

10.4018/978-1-60566-010-3.ch015 ◽

2011 ◽

pp. 87-93

Author(s):

Anne Denton

Keyword(s):

Data Mining ◽

Data Structures ◽

Association Rule ◽

Association Rule Mining ◽

Relational Data ◽

Rule Mining ◽

Data Mining Algorithms ◽

Mining Algorithms ◽

Relational Database Management ◽

Relational Database Management Systems

Most data of practical relevance are structured in more complex ways than is assumed in traditional data mining algorithms, which are based on a single table. The concept of relations allows for discussing many data structures such as trees and graphs. Relational data have much generality and are of significant importance, as demonstrated by the ubiquity of relational database management systems. It is, therefore, not surprising that popular data mining techniques, such as association rule mining, have been generalized to relational data. An important aspect of the generalization process is the identification of challenges that are new to the generalized setting.

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