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Backward Support Computation Method for Positive and Negative Frequent Itemset Mining 正负频繁项集挖掘的后向支持计算方法
Pub Date : 2023-01-01 DOI: 10.4236/jdaip.2023.111003
Mrinmoy Biswas Akash, I. Mandal, Md. Selim Al Mamun
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引用次数: 1
Lung Cancer Prediction from Elvira Biomedical Dataset Using Ensemble Classifier with Principal Component Analysis 基于主成分分析的集成分类器对Elvira生物医学数据集肺癌预测
Pub Date : 2023-01-01 DOI: 10.4236/jdaip.2023.112010
T. Abuya
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引用次数: 0
Predicting Wavelet-Transformed Stock Prices Using a Vanishing Gradient Resilient Optimized Gated Recurrent Unit with a Time Lag 用具有时滞的梯度消失弹性优化门控循环单元预测小波变换后的股票价格
Pub Date : 2023-01-01 DOI: 10.4236/jdaip.2023.111004
Luyandza Sindi Mamba, Antony Ngunyi, L. Nderu
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引用次数: 0
Typos Correction in Overseas Chinese Learning Based on Chinese Character Semantic Knowledge Graph 基于汉字语义知识图的海外汉语学习错别字校正
Pub Date : 2023-01-01 DOI: 10.4236/jdaip.2023.112011
Jing Xiong, Xue Zhai, Zhan Zhang, Feng Gao
In recent years, more and more foreigners begin to learn Chinese characters, but they often make typos when using Chinese. The fundamental reason is that they mainly learn Chinese characters from the glyph and pronunciation, but do not master the semantics of Chinese characters. If they can understand the meaning of Chinese characters and form knowledge groups of the characters with relevant meanings, it can effectively improve learning efficiency. We achieve this goal by building a Chinese character semantic knowledge graph (CCSKG). In the process of building the knowledge graph, the semantic computing capacity of HowNet was utilized, and 104,187 associated edges were finally established for 6752 Chinese characters. Thanks to the development of deep learning, OpenHowNet releases the core data of HowNet and provides useful APIs for calculating the similarity between two words based on sememes. Therefore our method combines the advantages of data-driven and knowledge-driven. The proposed method treats Chinese sentences as subgraphs of the CCSKG and uses graph algorithms to correct Chinese typos and achieve good results. The experimental results show that compared with keras-bert and pycorrector + ernie, our method reduces the false acceptance rate by 38.28% and improves the recall rate by 40.91% in the field of learning Chinese as a foreign language. The CCSKG can help to promote Chinese overseas communication and international education.
近年来,越来越多的外国人开始学习汉字,但他们在使用汉语时经常出现拼写错误。根本原因是他们主要从字形和读音上学习汉字,而没有掌握汉字的语义。如果他们能够理解汉字的意义,并形成具有相关意义的汉字知识群,就能有效地提高学习效率。我们通过构建汉字语义知识图(CCSKG)来实现这一目标。在构建知识图的过程中,利用知网的语义计算能力,最终为6752个汉字建立了104187条关联边。由于深度学习的发展,OpenHowNet发布了HowNet的核心数据,并提供了基于词素计算两个词之间相似度的有用api。因此,我们的方法结合了数据驱动和知识驱动的优点。该方法将汉语句子作为CCSKG的子图,利用图算法对汉语错字进行纠错,取得了良好的效果。实验结果表明,与keras-bert和pycorrector + ernie相比,我们的方法在汉语作为外语学习领域的错误接受率降低了38.28%,召回率提高了40.91%。CCSKG可以促进中国的海外交流和国际教育。
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引用次数: 0
Considerations for a Planned Democratizing Data Framework for Valid and Trusted Data 对有效和可信数据的计划民主化数据框架的考虑
Pub Date : 2023-01-01 DOI: 10.4236/jdaip.2023.113013
Tambe Mariam Takang, A. Amaechi
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引用次数: 0
COVID-19 Virus Prediction Using CNN and Logistic Regression Classification Strategies 基于CNN和逻辑回归分类策略的COVID-19病毒预测
Pub Date : 2022-01-01 DOI: 10.4236/jdaip.2022.101005
A. Srinivasulu, Tarkeshwar Barua, Srinivas Nowduri, M. Subramanyam, Sivaram Rajeyyagari
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引用次数: 5
Autonomous Surveillance of Infants’ Needs Using CNN Model for Audio Cry Classification 基于CNN模型的婴儿哭声分类自主监测
Pub Date : 2022-01-01 DOI: 10.4236/jdaip.2022.104013
Geofrey Owino, A. Waititu, A. Wanjoya, John P O Okwiri
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引用次数: 0
Maternal and Child Health Care Quality Assessment: An Improved Approach Using K-Means Clustering 妇幼保健质量评估:一种改进的k -均值聚类方法
Pub Date : 2022-01-01 DOI: 10.4236/jdaip.2022.103011
Sarah Nyanjara, D. Machuve, P. Nykanen
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引用次数: 1
Forecasting the New Trends about the Consumer Behavior in the Cruise Industry Post COVID-19 新冠肺炎疫情后邮轮行业消费者行为新趋势预测
Pub Date : 2022-01-01 DOI: 10.4236/jdaip.2022.101004
Ana Lúcia Rodrigues da Silva, R. Souza
{"title":"Forecasting the New Trends about the Consumer Behavior in the Cruise Industry Post COVID-19","authors":"Ana Lúcia Rodrigues da Silva, R. Souza","doi":"10.4236/jdaip.2022.101004","DOIUrl":"https://doi.org/10.4236/jdaip.2022.101004","url":null,"abstract":"","PeriodicalId":71434,"journal":{"name":"数据分析和信息处理(英文)","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70997442","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
UHAS-MIDA Software Package: Mass Isotopomer Distribution Analysis-Applying the Inverse Matrix for the Determination of Stable Isotopes of Chromium Distribution during Red Blood Cell Labelling UHAS-MIDA软件包:质量同位素分布分析-应用逆矩阵测定红细胞标记过程中铬的稳定同位素分布
Pub Date : 2022-01-01 DOI: 10.4236/jdaip.2022.102009
D. Abaye, Emmanuel B. Odoom, E. Boateng, Irene A Agbo, John-Bosco Diekuu, S. Agana
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引用次数: 1
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数据分析和信息处理(英文)
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