Chaos numbers based a new representation scheme for evolutionary computation: Applications in evolutionary association rule mining

Altay, Elif Varol; Alataş, Bilal

doi:10.1002/cpe.6744

Cited by 4 publications

(3 citation statements)

References 35 publications

(30 reference statements)

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“…In addressing the improvement of the Apriori algorithm, various related research findings have emerged. [1] introduces a hybrid optimization approach using differential evolution and the sine cosine algorithm to automatically adjust numerical attribute intervals and mine numerical association rules. This method boasts strong adaptability and automation.…”

Section: Application Of the Apriori Algorithmmentioning

confidence: 99%

An Approach of Improved Traversal Merging of Transaction Data for Faster Apriori Algorithm

2023

acss

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In order to improve the operational efficiency of the Apriori algorithm in the data preprocessing stage of large-scale data and achieve overall optimization of the Apriori project, a fast traversal merge pre-processing method is proposed by integrating an adaptive association mining threshold determination method. Firstly, the proposed fast traversal merging method is analyzed and compared with two benchmark algorithms, and the experimental results show that the running time of the fast traversal merging method is much lower than that of the two benchmark methods; secondly, according to the central limit theorem, a data adaptive support threshold setting method is proposed, which can avoid the subjectivity of the minimum support threshold setting in association mining; finally, the two proposed algorithms are applied to Apriori and the results show that the application of the proposed improved method for association mining gives significantly better results than association mining under the better processing of the benchmark algorithm, and thus can significantly improve the efficiency of solving the shopping basket problem.

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Section: Application Of the Apriori Algorithmmentioning

confidence: 99%

An Approach of Improved Traversal Merging of Transaction Data for Faster Apriori Algorithm

2023

acss

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“…People can sort the original transaction information database, merge the sorted results into the transaction database for operation, and return the results [16]. e literature shows that the average value can be replaced by N adjacent values in the process of trend analysis, followed by simple averaging or weighting, so as to effectively reduce the impact of specific points [17]. If special points are found in the processing process, a smoother and more stable curve can be obtained [18].…”

Section: Related Workmentioning

confidence: 99%

Application of Data Mining System in User Network Environment Based on SVM Optimization Algorithm

Yan-ying

2022

Mobile Information Systems

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Nowadays, different types of data and information combine and interact with each other, forming a complex and huge information network. Using data mining technology, one can effectively obtain the hidden data contained in the data bureau. This technology is the most commonly used way to obtain network target data at present. In this paper, we try to practically apply related algorithms by studying the theory of multi-information fusion. Aiming at the diversity and practicality of the network, the multi-information fusion method was optimized and improved on the basis of the traditional multi-information fusion method. Secondly, a data mining system based on the concept and algorithm of association rules is established, which simplifies the working mode of frequent mining and then improves the data mining model. Finally, an empirical analysis is designed. A group of data samples are selected from the network for preliminary processing, and the data set is brought into the system for testing. From the test results, it can be seen that the algorithm designed in this paper can effectively obtain the target data and works well in a complex network environment, can analyze meaningful data association using user network rules, and provides important guidance for optimizing network information and improving extraction efficiency. This paper combines data mining technology and multi-information fusion technology to conduct in-depth research and further complete the algorithm design by combining the two technologies, which proves the accuracy and processing efficiency of the algorithm.

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“…This method has strong adaptability and high automation level. For the evolutionary optimization methods, a new representation scheme of evolutionary computation based on chaos number is also proposed and applied to quantitative association rule mining [13].…”

Section: Introductionmentioning

confidence: 99%

Equipment Quality Information Mining Method Based on Improved Apriori Algorithm

Meng

Wang

et al. 2023

Journal of Sensors

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Equipment quality-related data contains valuable information. Data mining technology seems to be an efficient method for extracting knowledge from large amounts of data. In this paper, a general method for equipment quality information mining based on association rule is proposed for complex equipment. Due to the shortcomings of classical association rule mining algorithms such as long running time and high memory consumption, the candidate itemset generation process is optimized, and an improved Apriori algorithm is proposed. Taking five experimental data sets as the object, the performance of the algorithms is tested using time complexity and spatial complexity as evaluation criteria. Comparative experiments show that the improved algorithm had advantages. To further implement data processing and information representation, a matrix-based strong association rule extraction algorithm was proposed. Taking a certain type of equipment as an example, a simulation experiment was conducted using the method proposed in this article in reliability test data sets, and some interesting knowledge was obtained through mining, verifying the effectiveness of the method. The research in this article seems promising with respect to improving the scientific level of equipment support.

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Chaos numbers based a new representation scheme for evolutionary computation: Applications in evolutionary association rule mining

Cited by 4 publications

References 35 publications

An Approach of Improved Traversal Merging of Transaction Data for Faster Apriori Algorithm

An Approach of Improved Traversal Merging of Transaction Data for Faster Apriori Algorithm

Application of Data Mining System in User Network Environment Based on SVM Optimization Algorithm

Equipment Quality Information Mining Method Based on Improved Apriori Algorithm

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