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Educational Evaluation Based on Apriori-Gen Algorithm
2017
Eurasia Journal of Mathematics, Science and Technology Education
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This paper introduces an improved Apriori-Gen algorithm and describes its application in evaluation of actual effectiveness of ideological and political course of colleges and universities. ...
Conventional Apriori algorithm has certain limitations in the application of educational evaluation. ...
ACKNOWLEDGEMENT This work is supported by the 2016 Ministry of Education of Humanities and Social Science project titled "Effectiveness Evaluation of College Ideological and Political Education Based on ...
doi:10.12973/ejmste/78097
fatcat:obzzwuhglnagdlnfabpkoltjdm
A Prefixed-Itemset-Based Improvement For Apriori Algorithm
[article]
2016
arXiv
pre-print
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In this article, we proposed a prefixed-itemset-based data structure for candidate itemset generation, with the help of the structure we managed to improve the efficiency of the classical Apriori algorithm ...
Apriori algorithm is one of the most classical algorithms of association rules, but it has the bottleneck in efficiency. ...
Shuangyue L proposed an improved algorithm based on the matrix of database to enhance the efficiency of calculating [6] . ...
arXiv:1601.01746v1
fatcat:pgqh7q2xqfg6jm3ydps7o6b4lu
The Research of Improved Apriori Mining Algorithm in Bank Customer Segmentation
2013
Advanced Materials Research
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According to the shortcomings of traditional algorithm, this paper puts forward a bank customer segmentation method based on improved Apriori mining algorithm in order to improve the bank customer segmentation ...
The This paper studies bank customers segmentation problem. Improved Apriori mining algorithm is a kind of data mining technology which is an important method in bank customers segmentation. ...
4.1 as an example to describe the improved Apriori algorithm. in k − . ...
doi:10.4028/www.scientific.net/amr.760-762.2244
fatcat:eh5cprgbbbgszccoa5svwm2ko4
Application of Improved Apriori Algorithm in Diagnosis of Abnormal Building Energy Consumption
2021
E3S Web of Conferences
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An improved Apriori algorithm is proposed for building energy consumption data with a large amount of data and multi-value attributes. ...
The analysis of building abnormal energy consumption is of great significance to the effective energy saving of buildings. ...
Improved Apriori algorithm example Take the example data of building energy consumption in Table 2 as an example to show the process of generating 2and 3-candidate sets by improved Apriori algorithm: ...
doi:10.1051/e3sconf/202125702060
fatcat:ykuqpvezdbfdxfpynamhtypoyi
An Improved Apriori Algorithm for Association Mining Between Physical Fitness Indices of College Students
2021
International Journal of Emerging Technologies in Learning (iJET)
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Then, the Apriori algorithm was improved to reduce the time complexity of association rule mining. ...
This paper firstly relies on the Apriori algorithm to mine the hidden correlations between the physical fitness indices from the PE data on college students, and identify the indices closely associated ...
Correlation Analysis Based on Improved Apriori Algorithm Despite its good mining effect, the Apriori algorithm has a low efficiency. ...
doi:10.3991/ijet.v16i09.22747
fatcat:i73aww77vfhcni4nu7h2cc3vci
Study on Apriori Algorithm and its Application in Grocery Store
2013
International Journal of Computer Applications
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Finally, the improved Apriori algorithm can solve the problem of traditional Apriori algorithm. ...
Moreover, Apriori algorithm is improved by reducing the number of scanning data base. ...
Moreover, Apriori algorithm is improved by reducing the number of scanning data base. The algorithm reduces the storage room, improves the competency of performance and correctness of the algorithm. ...
doi:10.5120/12950-9882
fatcat:s3reho3m4bd75moqfuhxasqxje
Anomaly Extraction and Mitigation using Efficient-Web Miner Algorithm
2014
International Journal of Computer Applications
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Using network traffic log data, algorithms effectively finds the flow associated with the anomalous event(s). Efficient-Web Miner Algorithm triggers a very small number of false positives. ...
Anomaly extraction aims to automatically find the inconsistencies in large set of data observed during an anomalous time interval. ...
As an alternative to improve on Apriori algorithm Efficient-Web Mining Algorithm is implemented. ...
doi:10.5120/17495-8024
fatcat:sxoegbt57jarvagclg6ncjhx7i
Research on sensor network optimization based on improved Apriori algorithm
2018
EURASIP Journal on Wireless Communications and Networking
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At the same time, this paper selects the traditional Apriori algorithm and the improved Apriori optimization algorithm to compare and analyze. ...
This study uses the grid overlay model as the basic model and applies the improved Apriori algorithm to the WSN (wireless sensor networks) coverage optimization process of mobile nodes. ...
Funding No Availability of data and materials Not applicable.
Competing interests The authors declare that they have no competing interests. ...
doi:10.1186/s13638-018-1278-z
fatcat:fvwc2qtxmrgirfxqfptxadbznm
Improved Apriori Algorithm for Mining Association Rules
2014
International Journal of Information Technology and Computer Science
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Proposed algorithm improves Apriori algorithm by the way of a decrease of pruning operations, which generates the candidate 2-itemsets by the apriori-gen operation. ...
Algorithm Apriori is one of the oldest and most versatile algorithms of Frequent Pattern Mining (FPM). ...
With the decrease of minimum support to some content, the Improved Apriori algorithm tends to prevail, and with the further decrease of minimum support, the advantage of the Improved Apriori algorithm ...
doi:10.5815/ijitcs.2014.07.03
fatcat:xnbwpmgwond3pn4uw4irmcnq2i
Shopping and Basket Analysis by Using an Improved Apriori Algorithm in WEKA
2021
Journal of Studies in Science and Engineering
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Also, to help their users to find the product of their desire easily and make the process simpler, the online shopping websites use some kinds of an algorithm to provide recommendation systems. ...
try to show how we can improve the apriori algorithm efficiency and accuracy by some preprocessing on the dataset before applying apriori algorithm by eliminating the unnecessary records, this process ...
Declaration of Competing Interest: The authors declare that they have no conflict of interest.
References ...
doi:10.53898/josse2021126
fatcat:i6agsx27qjc7td3zb6yu6ncjy4
Improved Malware Detection Model with Apriori Association Rule and Particle Swarm Optimization
2019
Security and Communication Networks
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In order to improve the detection rate of malicious application on the Android platform, a novel knowledge-based database discovery model that improves apriori association rule mining of a priori algorithm ...
Particle swarm optimization (PSO) is used to optimize the random generation of candidate detectors and parameters associated with apriori algorithm (AA) for features selection. ...
Acknowledgments The authors wish to acknowledge the support of Federal Government of Nigeria under TETFUND Scholarship and International Islamic University Malaysia under the Endowment Grant research number ...
doi:10.1155/2019/2850932
fatcat:xh6mmrchozcctmvfqx7n37n3le
Data Mining Technology in Book Copyright Information Management Decision System
2021
Mobile Information Systems
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Aiming at some defects of the original Apriori algorithm of the association rule method, an improved Apriori algorithm is proposed. ...
set is greater than 1400, the improved Apriori algorithm is obviously more advantageous. ...
to the top 50 books that have been borrowed. e comparison of the effects of the Apriori algorithm and the improved Apriori algorithm is shown in Table 2 and Figure 2 . ...
doi:10.1155/2021/4388235
fatcat:ownoyfx7nbeprbyru7tqbj4jma
Pattern-Growth Methods for Frequent Pattern Mining
2018
Zenodo
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Most of the previously proposed methods adopt Apriori-like candidate-generation-and-test approaches. ...
The effective data structures are proposed to compress crucial information about frequent patterns and avoid expensive, repeated database scans. ...
One feasible strategy to improve the effciency of Apriori algorithm is to reduce the number of database scans. • The Apriori algorithm has to generate a huge number of candidates. ...
doi:10.5281/zenodo.1410988
fatcat:xbnsay44xzcf7fqvai3ihqaqqy
The Parallel Improved Apriori Algorithm Research Based on Spark
2015
2015 Ninth International Conference on Frontier of Computer Science and Technology
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The "Apriori" algorithm along with its set of improved variants, which were one of the earliest proposed frequent pattern generation algorithms still remain a preferred choice due to their ease of implementation ...
We conduct in-depth experiments to gain insight into the effectiveness, efficiency and scalability of our approach. ...
CMR-Apriori [9] by Jian Guo et al., was an improved Apriori algorithm with improvements using coding and Mapreduce. ...
doi:10.1109/fcst.2015.28
dblp:conf/fcst/YangXWZ15
fatcat:zschy5macbhyte55cql6ibbfxe
A Semantic Approach for Extracting Medical Association Rules
2020
International Journal of Intelligent Engineering and Systems
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The different performance metrics revealed the superiority of the proposed semantic Apriori algorithm (the ontology-based Apriori) compared to traditional Apriori algorithm. ...
Healthcare sector has large amounts of data that require careful analysis in order to improve the medical service offered to the patients. ...
generated frequent itemsets [45] . 12 The best association rules generated using the semantic Apriori algorithm
Conclusion Semantic data mining can be used effectively to improve the provided medical ...
doi:10.22266/ijies2020.0630.26
fatcat:5hrmx4lil5g35lw3iv6lmcnlsi
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