{"title":"Descriptive Statistics for Data Presentation","authors":"A. Badiru","doi":"10.1201/9781003083146-6","DOIUrl":"https://doi.org/10.1201/9781003083146-6","url":null,"abstract":"","PeriodicalId":93078,"journal":{"name":"Big data analytics","volume":"43 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78547966","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}
{"title":"Software architectures for big data: a systematic literature review","authors":"Cigdem Avci, B. Tekinerdogan, I. Athanasiadis","doi":"10.1186/s41044-020-00045-1","DOIUrl":"https://doi.org/10.1186/s41044-020-00045-1","url":null,"abstract":"","PeriodicalId":93078,"journal":{"name":"Big data analytics","volume":"5 1","pages":"1-53"},"PeriodicalIF":0.0,"publicationDate":"2020-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1186/s41044-020-00045-1","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44318177","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}
M. Elgendi, Newton Howard, A. Hussain, C. Menon, R. Ward
{"title":"From ancient times to modern: realizing the power of data visualization in healthcare and medicine","authors":"M. Elgendi, Newton Howard, A. Hussain, C. Menon, R. Ward","doi":"10.1186/s41044-020-00047-z","DOIUrl":"https://doi.org/10.1186/s41044-020-00047-z","url":null,"abstract":"","PeriodicalId":93078,"journal":{"name":"Big data analytics","volume":"5 1","pages":"1-7"},"PeriodicalIF":0.0,"publicationDate":"2020-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1186/s41044-020-00047-z","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46638414","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}
{"title":"Failure prediction using personalized models and an application to heart failure prediction","authors":"A. Roy, C. Bruce, P. Schulte, L. Olson, M. Pola","doi":"10.1186/s41044-020-00044-2","DOIUrl":"https://doi.org/10.1186/s41044-020-00044-2","url":null,"abstract":"","PeriodicalId":93078,"journal":{"name":"Big data analytics","volume":"5 1","pages":"1-19"},"PeriodicalIF":0.0,"publicationDate":"2020-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1186/s41044-020-00044-2","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42962721","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}
{"title":"Multilayer networks: aspects, implementations, and application in biomedicine","authors":"Zaynab Hammoud, F. Kramer","doi":"10.1186/s41044-020-00046-0","DOIUrl":"https://doi.org/10.1186/s41044-020-00046-0","url":null,"abstract":"","PeriodicalId":93078,"journal":{"name":"Big data analytics","volume":"5 1","pages":"1-18"},"PeriodicalIF":0.0,"publicationDate":"2020-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1186/s41044-020-00046-0","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41973012","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}
Ladjel Bellatreche, Vikram Goyal, H. Fujita, Anirban Mondal, P. K. Reddy
{"title":"Big Data Analytics: 8th International Conference, BDA 2020, Sonepat, India, December 15–18, 2020, Proceedings","authors":"Ladjel Bellatreche, Vikram Goyal, H. Fujita, Anirban Mondal, P. K. Reddy","doi":"10.1007/978-3-030-66665-1","DOIUrl":"https://doi.org/10.1007/978-3-030-66665-1","url":null,"abstract":"","PeriodicalId":93078,"journal":{"name":"Big data analytics","volume":"17 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/978-3-030-66665-1","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50972286","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}
Big data analyticsPub Date : 2020-01-01Epub Date: 2020-02-10DOI: 10.1186/s41044-019-0043-6
Jordan K Matelsky, Joseph Downs, Hannah P Cowley, Brock Wester, William Gray-Roncal
{"title":"A <i>substrate</i> for modular, extensible data-visualization.","authors":"Jordan K Matelsky, Joseph Downs, Hannah P Cowley, Brock Wester, William Gray-Roncal","doi":"10.1186/s41044-019-0043-6","DOIUrl":"https://doi.org/10.1186/s41044-019-0043-6","url":null,"abstract":"<p><strong>Background: </strong>As the scope of scientific questions increase and datasets grow larger, the visualization of relevant information correspondingly becomes more difficult and complex. Sharing visualizations amongst collaborators and with the public can be especially onerous, as it is challenging to reconcile software dependencies, data formats, and specific user needs in an easily accessible package.</p><p><strong>Results: </strong>We present substrate, a data-visualization framework designed to simplify communication and code reuse across diverse research teams. Our platform provides a simple, powerful, browser-based interface for scientists to rapidly build effective three-dimensional scenes and visualizations. We aim to reduce the limitations of existing systems, which commonly prescribe a limited set of high-level components, that are rarely optimized for arbitrarily large data visualization or for custom data types.</p><p><strong>Conclusions: </strong>To further engage the broader scientific community and enable seamless integration with existing scientific workflows, we also present pytri, a Python library that bridges the use of substrate with the ubiquitous scientific computing platform, <i>Jupyter.</i> Our intention is to lower the activation energy required to transition between exploratory data analysis, data visualization, and publication-quality interactive scenes.</p>","PeriodicalId":93078,"journal":{"name":"Big data analytics","volume":"5 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1186/s41044-019-0043-6","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"38894259","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}