標題: Titlebook: Big Data Analyses, Services, and Smart Data; Wookey Lee,Carson K. Leung,Aziz Nasridinov Conference proceedings 2021 Springer Nature Singap [打印本頁] 作者: mortality 時間: 2025-3-21 17:17
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書目名稱Big Data Analyses, Services, and Smart Data讀者反饋學(xué)科排名
作者: CHIDE 時間: 2025-3-21 23:44 作者: 的’ 時間: 2025-3-22 04:10
H.-G. H?llerhage,K.-M. Dewenter,H. Dietzg data are analyzed with an aim to discover interesting knowledge and information, which is usually presented in text or table form. Consistent with a proverb that “a picture is worth a thousand words”, big data visualization as well as visual analytics helps to reveal and explain the discovered int作者: NIP 時間: 2025-3-22 05:34
Tim Wehner,Kanjana Unnwongse,J?rg Wellmerwe compared the leading smartphone brands in China (i.e., Apple, Samsung, and Xiaomi) in terms of customer switching, and found that different strategic focuses of those companies on hardware, software, and service have dissimilar impacts on CS&L.作者: obnoxious 時間: 2025-3-22 11:51 作者: 震驚 時間: 2025-3-22 15:56
Data Science for Big Data Applications and Services: Data Lake Management, Data Analytics and Visuag data are analyzed with an aim to discover interesting knowledge and information, which is usually presented in text or table form. Consistent with a proverb that “a picture is worth a thousand words”, big data visualization as well as visual analytics helps to reveal and explain the discovered int作者: 煩擾 時間: 2025-3-22 18:59
An Empirical Investigation of Customer Loyalty in Chinese Smartphone Markets with Large-Scale Data:we compared the leading smartphone brands in China (i.e., Apple, Samsung, and Xiaomi) in terms of customer switching, and found that different strategic focuses of those companies on hardware, software, and service have dissimilar impacts on CS&L.作者: tenuous 時間: 2025-3-22 21:25 作者: CULP 時間: 2025-3-23 04:38
Johannes Sarnthein,Lukas Imbachor vertical data mining—in particular, vertical mining of frequently occurring patterns—from these relational data. For illustration, we discuss applications of the vertical data mining for the discovery of knowledge and useful information from real-life epidemiological data about coronavirus disease 2019 (COVID-19) and economic data.作者: 使成整體 時間: 2025-3-23 05:47
Ch. Lumenta,M. Bettag,A. Bertels,W. J. Bockth by disease, while harmful materials and facilities have positive correlations. Through this study, we hope that people will recognize the importance of protecting the natural environment and the risks of harmful substances.作者: isotope 時間: 2025-3-23 12:37
Analysis of the Effects of Nature and Facility Environmental Attributes on the Cause of Death from th by disease, while harmful materials and facilities have positive correlations. Through this study, we hope that people will recognize the importance of protecting the natural environment and the risks of harmful substances.作者: 額外的事 時間: 2025-3-23 17:45
Conference proceedings 2021ional Conference on Big Data Applications and Services (BigDAS 2018), as well as (iii) extended papers from the Sixth IEEE International Conference on Big Data and Smart Computing (IEEE BigComp 2019). The aim of BigDAS is to present innovative results, encourage academic and industrial interaction, 作者: 外表讀作 時間: 2025-3-23 18:38
Ependymal and Paraphyseal Cysts,er temporal trends in text stream. In this paper, we propose TextRank_nfidf which reflects temporal trends into phrase node weights, by computing smoothed difference of editing frequency between revisions. We confirm that detected bursts and keyphrases are matching well with events along the timeline.作者: opportune 時間: 2025-3-24 00:39
Hajime Arai,Kiyoshi Sato,Anthony J. Raimondi textual data is becoming very useful. In this paper, we present an application that can detect four distinct emotions from Twitter posts. They are joy, anger, fear, and sadness. The evaluation result shows the accuracy and applicability of our application.作者: fiscal 時間: 2025-3-24 05:28 作者: 并置 時間: 2025-3-24 09:31 作者: OVER 時間: 2025-3-24 11:22 作者: Cognizance 時間: 2025-3-24 17:33 作者: 關(guān)節(jié)炎 時間: 2025-3-24 22:12 作者: GROG 時間: 2025-3-25 01:25
2194-5357 h International Conference on Big Data Applications and Services (BigDAS 2018), as well as (iii) extended papers from the Sixth IEEE International Conference on Big Data and Smart Computing (IEEE BigComp 2019). The aim of BigDAS is to present innovative results, encourage academic and industrial int作者: 尋找 時間: 2025-3-25 07:06 作者: Ejaculate 時間: 2025-3-25 10:43 作者: Indict 時間: 2025-3-25 13:32
Data Science for Big Data Applications and Services: Data Lake Management, Data Analytics and Visuans and services in the real world. Data science applies database techniques, scientific and engineering methods, mathematical and statistical models, data mining algorithms, and/or machine learning tools to manage data, extract the useful information and discover the new knowledge from these big dat作者: 死亡 時間: 2025-3-25 19:14 作者: explicit 時間: 2025-3-25 23:24 作者: 音樂會 時間: 2025-3-26 00:34
,Factors Affecting an Organization’s Information Security Performance: The Characteristics of Informan organizational risk. Various laws mandate that businesses employ information security officers with specialized knowledge, such a CPO, CIO, CSO, CISO, CPO, etc. Information security breaches affect general citizens as customers. However, despite the growing importance of information security offi作者: semiskilled 時間: 2025-3-26 05:34
An Empirical Investigation of Customer Loyalty in Chinese Smartphone Markets with Large-Scale Data:ile phone businesses, and the diffusion of smartphones expedites this trend at a rapid pace. Moreover, the shortened lifespan of smartphones makes it harder for smartphone companies to retain their customers for a long time. In this study, we aim to identify the antecedents of smartphone users’ sati作者: 錢財 時間: 2025-3-26 09:00
Vertical Data Mining from Relational Data and Its Application to COVID-19 Data,are open data and are stored in relational databases. Embedded in these big data are valuable information and knowledge, which can be discovered by data mining. Frequent pattern mining is a popular data mining task within the realm of data science. In this paper, we present data science techniques f作者: Rankle 時間: 2025-3-26 15:58
Big Data Analyses, Services, and Smart Data978-981-15-8731-3Series ISSN 2194-5357 Series E-ISSN 2194-5365 作者: 粗魯性質(zhì) 時間: 2025-3-26 20:51
Ch. Lumenta,M. Bettag,A. Bertels,W. J. Bockmful and social environmental factors from 2015 to 2017 in Korea. We defined the cause of death by disease as a dependent variable and conducted analyses to derive related attributes. We used a multiple linear regression analysis and classification and regression tree models as analytical methods to作者: Modicum 時間: 2025-3-26 23:13 作者: 蒸發(fā) 時間: 2025-3-27 02:54 作者: 修飾語 時間: 2025-3-27 09:02 作者: 控制 時間: 2025-3-27 12:59 作者: outrage 時間: 2025-3-27 16:17 作者: 保存 時間: 2025-3-27 17:55
Tim Wehner,Kanjana Unnwongse,J?rg Wellmerile phone businesses, and the diffusion of smartphones expedites this trend at a rapid pace. Moreover, the shortened lifespan of smartphones makes it harder for smartphone companies to retain their customers for a long time. In this study, we aim to identify the antecedents of smartphone users’ sati作者: 災(zāi)難 時間: 2025-3-28 00:16
Johannes Sarnthein,Lukas Imbachare open data and are stored in relational databases. Embedded in these big data are valuable information and knowledge, which can be discovered by data mining. Frequent pattern mining is a popular data mining task within the realm of data science. In this paper, we present data science techniques f作者: 遺棄 時間: 2025-3-28 02:21
Advances in Intelligent Systems and Computinghttp://image.papertrans.cn/b/image/185582.jpg作者: 壓倒性勝利 時間: 2025-3-28 07:03 作者: Banister 時間: 2025-3-28 13:22 作者: 秘密會議 時間: 2025-3-28 16:56
Book 2021s, both formal and informal. Thus, the Albanian experience may represent an opportunity through which we all may reflect about how designing is evolving in the Mediterranean arena of “praxis and experiments” aimed to a better quality of life at the human scale and in expanding the concepts of “place
