An Improved Wrapper Generation Using Self Organizing Maps and Meta Heuristic Technique for Web Based Biomedical Data Mining

Veeramani, T.; Nedunchelian, R.

doi:10.1166/jmihi.2016.1853

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“…Secondly, the cluster analysis algorithm can be divided into hierarchical clustering, partitioning clustering, density clustering, and constraint clustering algorithms. Considering that one goal of data mining is to display data charts in different periods, plus energy data There are many abnormal data in it, 25,26 so in order to better form clusters of the same shape and minimize the abnormal data to the clustering results, this paper will use the density clustering algorithm DBSCAN to expand the data mining of the Construction works system. The initial parameters of the environment are: the clustering learning rate is 0001, the abnormal value is set to 1, and the normal value is set to 0.…”

Section: Experimental Methodsmentioning

confidence: 99%

Information construction of construction project management based on internet of things blockchain

Jing-dong¹

2022

Security and Privacy

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Because of the complexity of construction projects and the frequency of project transactions, smart project management has a huge amount of transaction and operation data. Massive transaction and operation data urgently need a safe, efficient and low–cost storage and data analysis to realize fine management of buildings, low–cost transaction and interconnection of project information. Therefore, the construction project management system based on internet of things blockchain has been gradually improved, and more and more researches have been made on it. This article proposes a parallel design scheme. Parallel algorithms disperse the repeated calculation work on each node, reduce the calculation load and calculation time of a single node, effectively improve the efficiency of the algorithm, and enable it to process large–scale data of different sizes in parallel. Improve the algorithm according to the experiment, and analyze the performance of the parallel algorithm according to the experimental results. Experiments show that Apriori algorithm and K‐means algorithm based on MapReduce are more than 85° optimized than traditional data mining.

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Section: Experimental Methodsmentioning

confidence: 99%

Information construction of construction project management based on internet of things blockchain

Jing-dong¹

2022

Security and Privacy

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An Improved Wrapper Generation Using Self Organizing Maps and Meta Heuristic Technique for Web Based Biomedical Data Mining

Cited by 1 publication

References 0 publications

Information construction of construction project management based on internet of things blockchain

Information construction of construction project management based on internet of things blockchain

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