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Enriching integrated statistical open city data by combining equational knowledge and missing value imputation

Stefan Bischof, Andreas Harth, Benedikt Kämpgen, Axel Polleres, Patrik Schneider
2018 Journal of Web Semantics  
and reasoning over equational background knowledge to enrich the data by imputing missing values, (iii) we assess the estimated accuracy of such imputations per indicator.  ...  In this paper we present the Open City Data Pipeline, a focused attempt to collect, integrate, and enrich statistical data collected at city level worldwide, and re-publish the resulting dataset in a re-usable  ...  Acknowledgements Part of the work was carried out with the support of the German Federal Ministry of Education and Research (BMBF) within the project "WIRE" (Grant 01|S16039B).  ... 
doi:10.1016/j.websem.2017.09.003 fatcat:k6kenurs6baavaxweqcd2ahss4

ePub WU Institutional Repository Enriching integrated statistical open city data by combining equational knowledge and missing value imputation Article (Published) (Refereed) Original Citation: Enriching Integrated Statistical Open City Data by Combining Equational Knowledge and Missing Value Imputation

Stefan Bischof, Andreas Harth, Benedikt Kämpgen, Axel Polleres, Patrik Schneider, Stefan Bischof, Harth, Andreas, Kämpgen, Polleres, Axel Schneider, Stefan Bischof (+4 others)
2018 Journal of Web Semantics   unpublished
and reasoning over equational background knowledge to enrich the data by imputing missing values, (iii) we assess the estimated accuracy of such imputations per indicator.  ...  In this paper we present the Open City Data Pipeline, a focused attempt to collect, integrate, and enrich statistical data collected at city level worldwide, and re-publish the resulting dataset in a re-usable  ...  Acknowledgements Part of the work was carried out with the support of the German Federal Ministry of Education and Research (BMBF) within the project "WIRE" (Grant 01|S16039B).  ... 
fatcat:y7ugqbaiajf6rbhynz2ohf2qcm

Using Differentiable Programming for Flexible Statistical Modeling [article]

Maren Hackenberg, Marlon Grodd, Clemens Kreutz, Martina Fischer, Janina Esins, Linus Grabenhenrich, Christian Karagiannidis, Harald Binder
2021 arXiv   pre-print
In an application from a COVID-19 setting, we utilize differentiable programming to quickly build and optimize a flexible prediction model adapted to the data quality challenges at hand.  ...  Specifically, we develop a regression model, inspired by delay differential equations, that can bridge temporal gaps of observations in the central German registry of COVID-19 intensive care cases for  ...  handle missing observations in the data, inspired by differential equations.  ... 
arXiv:2012.05722v2 fatcat:qnbcslh7jrcnhig5psyiyn6ruq

Traffic Missing Data Imputation: A Selective Overview of Temporal Theories and Algorithms

Tuo Sun, Shihao Zhu, Ruochen Hao, Bo Sun, Jiemin Xie
2022 Mathematics  
A key issue is that temporal information collected by neighbor detectors can make traffic missing data imputation more accurate. This review analyzes traffic temporal data imputation methods.  ...  Research methods, missing patterns, assumptions, imputation styles, application conditions, limitations, and public datasets are reviewed.  ...  Acknowledgments: This study was supported by: Shanghai Sailing Program (22YF1452700, 22YF1452600), National Natural Science Foundation of China (No. 52131204).  ... 
doi:10.3390/math10142544 fatcat:5dhxevczdjavzec32gdws24wia

An Overview of IoT Sensor Data Processing, Fusion, and Analysis Techniques

Rajalakshmi Krishnamurthi, Adarsh Kumar, Dhanalekshmi Gopinathan, Anand Nayyar, Basit Qureshi
2020 Sensors  
This paper addresses the data processing techniques such as data denoising, data outlier detection, missing data imputation and data aggregation.  ...  As such, this paper addresses how to process IoT sensor data, fusion with other data sources, and analyses to produce knowledgeable insight into hidden data patterns for rapid decision-making.  ...  Funding: This work is partially funded by the Robotics and Internet of Things lab at Prince Sultan University. Conflicts of Interest: The authors of this manuscript have no Conflicts of Interest.  ... 
doi:10.3390/s20216076 pmid:33114594 fatcat:7chsqdqulzfejczzkwvmvr63dq

Meta-analysis of lipid-traits in Hispanics identifies novel loci, population-specific effects and tissue-specific enrichment of eQTLs

Jennifer E. Below, Esteban J. Parra, Eric R. Gamazon, Jason Torres, S. Krithika, Sophie Candille, Yingchang Lu, Ani Manichakul, Jesus Peralta-Romero, Qing Duan, Yun Li, Andrew P. Morris (+13 others)
2016 Scientific Reports  
Based on mortality data from 2010, it was estimated that more than 2,150 Americans die of CVD each day 1 .  ...  The top meta-analysis signals were found to be enriched for SNPs associated with gene expression in a tissuespecific fashion, suggesting an enrichment of tissue-specific function in lipid-associated loci  ...  Acknowledgements We gratefully acknowledge all the individuals from Mexico and the US who participated in this study. In Mexico,  ... 
doi:10.1038/srep19429 pmid:26780889 pmcid:PMC4726092 fatcat:pqewotoq6rh5vbqxktxkrozktq

Decision support for Web service adaptation

Apostolos Papageorgiou, André Miede, Stefan Schulte, Dieter Schuller, Ralf Steinmetz
2014 Pervasive and Mobile Computing  
To address this challenge, we apply the statistical concept of imputation, i.e., substituting missing data.  ...  Based on the evaluation of different imputation algorithms used for one of our scoring algorithms, we show which imputation algorithms significantly decrease the error imposed by the missing data and decide  ...  SIMPLI-CITY FP7-ICT project (Grant agreement no. 318201), and by the E-Finance Lab e.  ... 
doi:10.1016/j.pmcj.2013.10.004 fatcat:ibyvj4r4tvc2tcnkfklrctrpa4

Using Pre-existing Microarray Datasets to Increase Experimental Power: Application to Insulin Resistance

Bernie J. Daigle, Alicia Deng, Tracey McLaughlin, Samuel W. Cushman, Margaret C. Cam, Gerald Reaven, Philip S. Tsao, Russ B. Altman, Nathan D. Price
2010 PLoS Computational Biology  
Although these data assay a wide range of conditions, they cannot be used directly to inform any particular experiment and are thus ignored by most DE gene methods.  ...  We evaluated 11 (58%) of these genes experimentally using qPCR, confirming the directions of expression change for all 11 and statistical significance for three.  ...  Acknowledgments We thank David Heckerman for useful suggestions and comments on the work. Author Contributions  ... 
doi:10.1371/journal.pcbi.1000718 pmid:20361040 pmcid:PMC2845644 fatcat:j74wraolfvdybmksgxajptmyfi

The Impact of Every Classroom, Every Day on High School Student Achievement: Results From a School-Randomized Trial

Diane M. Early, Juliette K. Berg, Stacey Alicea, Yajuan Si, J. Lawrence Aber, Richard M. Ryan, Edward L. Deci
2015 Journal of Research on Educational Effectiveness  
schools may benefit students in myriad ways, student learning is most directly and deeply affected by how and what teachers teach.  ...  ECED was designed and implemented by the Institute for Research and Reform in Education (IRRE) to systematically improve instruction, without employing a full CONTACT Diane M. Early  ...  of the data collection efforts.  ... 
doi:10.1080/19345747.2015.1055638 fatcat:ka742b7akrfadcafbqzikegdte

Sensor data quality: a systematic review

Hui Yie Teh, Andreas W. Kempa-Liehr, Kevin I-Kai Wang
2020 Journal of Big Data  
Acknowledgements The article processing charge was funded by the German Research Foundation (DFG) and the University of Freiburg in the funding programme Open Access Publishing.  ...  Missing data imputation For missing data error, Association rule mining, Clustering, k-Nearest Neighbour, and singular value decomposition solutions have been proposed to estimate the missing sensor values  ...  For missing data imputation, the Intel Lab dataset has also been used by D' Aniello et al. [62] and Fekade et al.  ... 
doi:10.1186/s40537-020-0285-1 fatcat:cbl346kh35cqvn6nh7njzvrq5e

Foreword of Special Issue on "E-Service and Applications"

Jason C. Hung, Hsing-I Wang
2011 Journal of Computers  
Finally, it creates the new value to information industries. Research in these fields is emergent and crucial, not only in academic and research community, but also in industrial field.  ...  Yuan-Chu Hwang tried to utilize multimedia streaming technology and video clips to present strokeprecaution knowledge for elderly senior citizens.  ...  ACKNOWLEDGMENT I greatly appreciated the critical guidance provided by Dr.  ... 
doi:10.4304/jcp.6.3.387-388 fatcat:6uf2oayvbbfibphaobqewpnkx4

Widespread dose-dependent effects of RNA expression and splicing on complex diseases and traits [article]

Alvaro N Barbeira, Rodrigo Bonazzola, Eric R Gamazon, Yanyu Liang, YoSon Park, Sarah Kim-Hellmuth, Gao Wang, Zhuoxun Jiang, Dan Zhou, Farhad Hormozdiari, Boxiang Liu, Abhiram Rao (+18 others)
2019 bioRxiv   pre-print
The resources generated by the GTEx consortium offer unprecedented opportunities to advance our understanding of the biology of human traits and diseases.  ...  Here, we present an in-depth examination of the phenotypic consequences of transcriptome regulation and a blueprint for the functional interpretation of genetic loci discovered by Genome-Wide Association  ...  transplantation, and tissue donations for the GTEx research project; Mariya Khan and Christopher Stolte for the illustration in Fig. 1 ; and Laura Vairus for the illustrations in Figs. 2 and 3 .  ... 
doi:10.1101/814350 fatcat:gom2b6l5cbgkxou7bomw635bdq

Social Contagion and Innovation: Cohesion versus Structural Equivalence

Ronald S. Burt
1987 American Journal of Sociology  
JSTOR is a not-for-profit service that helps scholars, researchers, and students discover, use, and build upon a wide range of content in a trusted digital archive.  ...  We use information technology and tools to increase productivity and facilitate new forms of scholarship. For more information about JSTOR, please contact support@jstor.org. .  ...  Continue until the missing data on i are imputed.  ... 
doi:10.1086/228667 fatcat:osykvzdsfrcefkqwk3ndrxpmue

Front Matter: Volume 8745

Ivan Kadar
2013 Signal Processing, Sensor Fusion, and Target Recognition XXII  
(United States) 8745 0N Feynman path integral discretization and its applications to nonlinear filtering [8745-24] B.  ...  APPLICATIONS V 8745 0S Sequential testing over multiple stages and performance analysis of data fusion [8745-30] G.  ...  FA8750-12-C-0315 Advanced Machine Learning & Statistical Inference Approaches for Big Data Analytics and Information Fusion Proprietary & Confidential  ... 
doi:10.1117/12.2031900 fatcat:dwkpv5gaqfemlpqebcgmquu63i

Generating and Visualizing Spatially Disaggregated Synthetic Population Using a Web-Based Geospatial Service

Jian Liu, Xiaosu Ma, Yi Zhu, Jing Li, Zong He, Sheng Ye
2021 Sustainability  
This is especially the case for the Chinese cities that are undergoing rapid development and transformation. However, detailed population data are rarely available in comprehensive and timely means.  ...  Population synthesis approaches such as Iterative Proportional Fitting (IPF) were developed to combine microdata samples with marginal statistics about population characteristics at aggregated spatial  ...  Data Availability Statement: The data that support the findings of this study are available from the author, Jian Liu, upon reasonable request.  ... 
doi:10.3390/su13031587 fatcat:lftfrmgiifbi7kfny63a4fqxni
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