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[null,"1.","Record Nr.",null,"UNISA996394494803316"]
[null,null,"Autore",null,"Vaux J. Edward (James Edward)"]
[null,null,"Titolo",null,"Will you be confirmed? [[electronic resource]]"]
[null,null,"Pubbl/distr/stampa",null,"London, : G. J. Palmer, [18--?]"]
[null,null,"Descrizione fisica",null,"2 p"]
[null,null,"Soggetti",null,"Confirmation - Anglican Communion"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Caption title."]
[{"$nulls":4},"Signed at end: J. E. V."]
[{"$nulls":4},"Reproduction of the original in the British Library."]
[null,null,null,"Sommario/riassunto","eebo-0018"]
[null,"2.","Record Nr.",null,"UNINA9910337844603321"]
[null,null,"Titolo",null,"Business Information Systems : 22nd International Conference, BIS 2019, Seville, Spain, June 26–28, 2019, Proceedings, Part I / / edited by Witold Abramowicz, Rafael Corchuelo"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019"]
[null,null,"ISBN",null,"3-030-20485-5"]
[null,null,"Edizione",null,"[1st ed. 2019.]"]
[null,null,"Descrizione fisica",null,"1 online resource (XVII, 541 p. 271 illus., 116 illus. in color.)"]
[null,null,"Collana",null,"Lecture Notes in Business Information Processing, , 1865-1356 ; ; 353"]
[null,null,"Disciplina",null,"005.7"]
[{"$nulls":4},"658.4038011"]
[null,null,"Soggetti",null,"Application software"]
[{"$nulls":4},"Business information services"]
[{"$nulls":4},"Data mining"]
[{"$nulls":4},"Quantitative research"]
[{"$nulls":4},"Software engineering"]
[{"$nulls":4},"Computer and Information Systems Applications"]
[{"$nulls":4},"Business Information Systems"]
[{"$nulls":4},"Data Mining and Knowledge Discovery"]
[{"$nulls":4},"Data Analysis and Big Data"]
[{"$nulls":4},"Enterprise Architecture"]
[{"$nulls":4},"Software Engineering"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"Big Data and Data Science -- Decision-Support for Selecting Big Data Reference Architectures -- In-memory Big Graph: A Future Research Agenda -- Modelling Legal Documents For Their Exploitation As Open Data -- Time series forecasting by recommendation: an empirical analysis on Amazon marketplace -- A Comparative Application of Multi-Criteria Decision Making in Ontology Ranking -- Method of Decision-Making Logic Discovery in the Business Process Textual Data -- Prediction of Productivity and Energy Consumption in a Consteel Furnace Using Data-Science Models -- Understanding Requirements and Benefits of the Usage of Predictive Analytics in Management Accounting: Results of a Qualitative Research Approach -- Deriving Corporate Social Responsibility Patterns in the MSCI Data -- Profile "]
[{"$nulls":4},"Inference from Heterogenous Data -- Triggering ontology alignment revalidation based on the degree of change significance on the ontology concept level -- Challenging SQL-on-Hadoop Performance with Apache Druid.-The Impact of Imbalanced Training Data on Local Matching Learning of Ontologies -- A DMN-based Method for Context-aware Business Process Modeling Towards Process Variability -- The Shift from Financial to Non-Financial Measures during Transition into Digital Retail - A Systematic Literature Review -- Artifical Intelligence -- A Maturity Model for IT-related Security Incident Management -- A Framework to Monitor Machine Learning Systems Using Concept Drift Detection -- Determining Optimal Multi-layer Perceptron Structure Using Linear Regression -- An Effective Machine Learning Framework for Data Elements Extraction from the Literature of Anxiety Outcome Measures to Build Systematic Review -- A Model for Inebriation Recognition in Humans Using Computer Vision -- Interaction of Information Content and Frequency as predictors of verbs' lengths -- Automated Prediction of Relevant Key Performance Indicators for Organizations -- Genetic Programming over Spark for Higgs Boson Classification -- Genetic algorithms for the picker routing problem in multi-block warehouses -- ICT Project Management -- Subject-Orientation as a Means for Business Information System Design - a Theoretical Analysis and Summary -- Quality of Research Information in RIS Databases: A Multidimensional Approach -- Modifying consent procedures to collect better data: the case of stress-monitoring wearables in the workplace -- Cyber Treat Intelligence Modeling -- The Long Way from Science to Innovation - a Research Approach for Creating an Innovation Project Methodology -- A COSMIC-Based Approach for Verifying the Conformity of BPMN, BPEL and Component Models -- Information Systems Planning and Success in SMEs: Strategizing for IS -- An ICT Project Case Study from Education: A Technology Review for a Data Engineering Pipeline -- Smart Infrastructure -- Business Challenges for Service Provisioning in 5G Networks -- Towards an Optimized, Cloud-Agnostic Deployment of Hybrid Applications -- Deep Influence Diagrams: An Interpretable and Robust Decision Support System -- A Reference Architecture Supporting Smart City Applications -- Explaining performance expectancy of IoT in Chilean SMEs -- Blockchain-based Platform for Smart Learning Environments -- Improving healthcare processes with smart contracts -- Energy Efficient Cloud Data Center Using Dynamic Virtual Machine Consolidation Algorithm -- Safety is the New Black: the increasing Role of Wearables in Occupational Health and Safety in Construction. ."]
[null,null,null,"Sommario/riassunto","The two-volume set LNBIP 353 and 354 constitutes the proceedings of the 22nd International Conference on Business Information Systems, BIS 2019, held in Seville, Spain, in June 2019. The theme of the BIS 2019 was \"Data Science for Business Information Systems\", inspiring researchers to share theoretical and practical knowledge of the different aspects related to Data Science in enterprises. The 67 papers presented in these proceedings were carefully reviewed and selected from 223 submissions. The contributions were organized in topical sections as follows: Part I: Big Data and Data Science; Artificial Intelligence; ICT Project Management; and Smart Infrastructure. Part II: Social Media and Web-based Systems; and Applications, Evaluations and Experiences. The chapter “Time Series Forecasting by Recommendation: An Empirical Analysis on Amazon Marketplace” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com."]