A Novel Differentially Private Online Learning Algorithm for Group Lasso in Big Data by Jinxia Li, Liwei Lu

“…The findings underscore the practical benefits of the differential privacy-preserving algorithm in tackling large-scale data analysis while upholding privacy standards. This research marks a significant step forward in the fusion of big data analytics and the safeguarding of individual privacy.…”
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Optimal Management of Computer Network Security in the Era of Big Data by Minfeng Chen

“…Therefore, this paper proposes a security-aware model based on the combination of distributed data analysis technology and data features. The model uses data features to dynamically generate a library of situational anomalies, effectively solving the problem of analyzing and processing rapidly and dynamically generated data streams, increasing the detection rate to more than 98%, effectively reducing the possibility of false detection, and having good results on large-scale datasets.…”
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THE LANGUAGE INTERFERENCE IN ENGLISH CONVERSATION AT PONDOK PESANTREN FADHLUL FADHLAN SEMARANG DUE TO THE ADDITION OF JAVANESE PARTICLES by Silvy Milchatir Rizqiyah, Aprillia Firmonasari

“…The data collection technique method used non-participant observation by observing students' conversations and then taking notes and structured interviews with 27 students. The data analysis technique method used three stages, namely data reduction, data presentation, and concluding. …”
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Data Inspecting and Denoising Method for Data-Driven Stochastic Subspace Identification by Xiaohang Zhou, Lu Cao, Inamullah Khan, Qiao Li

“…In order to achieve a reliable identification result of the bridge modal parameter, a data inspecting and denoising method based on exploratory data analysis (EDA) and morphological filter (MF) was proposed for DATA-SSI. …”
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The Role of Cognitive Science and Big Data Technology in the Design of Business Information Management Systems by Yangfan Li

“…This study takes the business information management of cold chain logistics enterprises as an example, aiming at the characteristics of business intelligence data in real applications, based on cognitive science and big data technology, from low-cost and high-performance storage, security management, and big data analysis. This paper is mainly through the research of big data processing theory and key technologies. …”
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Family, friends, and financial know-how: influences on students' intentions to pursue entrepreneurship, with the moderating role of self-efficacy by Rhian Indradewa, Rizki Muharom Setiawan

“…The research utilizing a survey method with a Likert scale distributed to 292 students actively enrolled in universities in the Greater Jakarta area Indonesia. Data analysis was conducted using PLS-SEM. The results indicate that family economic education and peer groups have a positive and significant effect on economic literacy and entrepreneurial intentions. …”
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Investigating Errors in the Written Composition of Undergraduate ESL Learners at Aligarh Muslim University by Mohd Akram Khan

“…So, based on above data analysis the most common type of errors was spelling that is 19.35% and the least common one was article that is 6.45%.,. …”
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The antecedent and consequences of resistance to social media adoption in SMEs by Yuni Istanto, Dyah Sugandini, Mohamad Irhas Effendi, Rahajeng Arundati

“…The respondents observed were 230 SMEs in the Special Region of Yogyakarta. The data analysis technique uses a structural model approach with SEM-PLS. …”
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Analysis and explanation sprawl in industrial cities (Case study: Bandar Mahshahr) by arash ghasemphour, azadeh arbabi, naser ebadati, fatemeh adibi, maryam rostam pishe

“…The research method is descriptive-analytical and practical in terms of targeting. For data analysis, cross-tab, kappa coefficient, sectorial, Heldren and Markov chain models were used. …”
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Identification of cardiac premature senescence markers through GEO database interaction approach by Tiwuk Susantiningsih, Ani Retno Prijanti, Novi Silvia Hardiany, Fadilah

“…Conclusion: From the GeneCards, Cytoscape, and StringDB data, analysis of protein interactions in cardiac premature senescence showed that the protein-protein interactions with the highest scores were TP53, CDK2, and PTEN. …”
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Analyzing public policy effectiveness in enhancing accountability and transparency in service quality by Andi Rasyid Pananrangi, Imran ismail, Delly Mustafa, Askar Askar, A Rizal

“…Using qualitative research methods, this study employs a literature study approach with a systematic selection of relevant sources, including peer-reviewed journals, government reports, and policy documents. Data analysis follows three stages: data reduction, data presentation, and conclusion drawing, ensuring a comprehensive understanding of the subject.  …”
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Optimizing multi label student performance prediction with GNN-TINet: A contextual multidimensional deep learning framework. by Xiaoyi Zhang, Yakang Zhang, Angelina Lilac Chen, Manning Yu, Lihao Zhang

“…The model achieved exceptional outcomes, exceeding current standards with a Predictive Consistency Score (PCS) of 0.92 and an accuracy of 98.5%. Exploratory data analysis revealed significant relationships between GPA, homework completion, and parental involvement, emphasizing the complex nature of academic achievement. …”
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Bonds, Bondholders Protection and Asset Allocation of Multimarket Funds by Thayse Machado Guimarães, Rodrigo Fernandes Malaquias

“…Moreover, we examined less common restrictive clauses as well, including indebtedness policy, shares issuance and amortization, and ratings downgrading. Regarding data analysis, we employed multiple linear regression models, with pooled estimators, applying the standard error correction by White’s robust matrix (1980). …”
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Development of learning video rotation using Palembang tanjak context to determine students’ mathematical reasoning by Uswatun Hasanah, Ratu Ilma Indra Putri, Zulkardi

“…Data collection techniques were observation, tests, and interviews. The data analysis technique is descriptive. This research resulted in a learning video on rotation material using the context of Palembang tanjak, which was developed to be valid and practical and potentially affected students' mathematical reasoning ability with an average of 67.625. …”
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Evaluating Affective User-Centered Design of Video Games Using Qualitative Methods by Yiing Y’ng Ng, Chee Weng Khong, Robert Jeyakumar Nathan

“…We also discuss our approaches within the context of existing affective gaming and user-centered design theory and data gathering procedures, including the factors affecting internal and external validity and the data analysis techniques.…”
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Hypergraph Regularized Discriminative Nonnegative Matrix Factorization on Sample Classification and Co-Differentially Expressed Gene Selection by Yong-Jing Hao, Ying-Lian Gao, Mi-Xiao Hou, Ling-Yun Dai, Jin-Xing Liu

“…Nonnegative Matrix Factorization (NMF) is a significant big data analysis technique. However, standard NMF regularized by simple graph does not have discriminative function, and traditional graph models cannot accurately reflect the problem of multigeometry information between data. …”
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An investigation into the extent of, and reason for, the theory-to-practice disparity in Montessori early childhood settings in South Africa by Susanne van Niekerk

“…Participants completed an online questionnaire which was followed up by extensive individual interviews. Data analysis showed that the majority of the participants experienced situational constraints from school man­agement, parent pressure, and statutory requirements, while some instances of personal bias and reservation towards the Montessori method were also noted. …”
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The implementation of TPS (think pair share) cooperative learning model aided by Google hangouts in literary expression course by Fina Hiasa, Supadi Supadi, Nafri Yanti

“…This study aims to determine how the application of the TPS (Think-Pair-Share) type of cooperative learning model assisted by Google Hangout can improve the quality of learning in seventh semester students of the Indonesian Language Education Study Program, FKIP UNIB, in the Literary Expression course. The data analysis technique used in this study was a descriptive method that produced an overview of the extent to which the quality of learning has improved by using the TPS (Think-Pair-Share) type of cooperative learning model assisted by Google Hangouts for students who were the research samples. …”
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Empowering pastoralist women through social innovations in Somali and Afar regions of Ethiopia by Tafesse Matewos, Melisew Dejene, Semeredin Yimer

“…We also used the chi-square test to examine the association between women's empowerment status and involvement in the SIs. The data analysis has shown that the SIs have contributed to women's empowerment by building knowledge, skills, and financial autonomy for women in the study area. …”
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Maximum-likelihood Regression with Systematic Errors for Astronomy and the Physical Sciences. I. Methodology and Goodness-of-fit Statistic of Poisson Data by Massimiliano Bonamente, Yang Chen, Dale Zimmerman

“…The statistical methods presented in this paper are intended as a simple general-purpose framework to include additional sources of uncertainty for the analysis of integer-count data in a variety of practical data analysis situations.…”
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