Autore	van Gils Bas
Edizione	[1st ed. 2023.]
Pubbl/distr/stampa	Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Descrizione fisica	1 online resource (XX, 217 p. 82 illus., 28 illus. in color.)
Disciplina	005.3
Collana	The Enterprise Engineering Series
Soggetto topico	Information technology—Management Database management Business information services Artificial intelligence—Data processing Computer Application in Administrative Data Processing Database Management Business Information Systems Data Science
ISBN	3-031-35539-3
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Record Nr.	UNISA-996547967703316

Autore	Fürber Christian
Edizione	[1st ed. 2016.]
Pubbl/distr/stampa	Wiesbaden : , : Springer Fachmedien Wiesbaden : , : Imprint : Springer Gabler, , 2016
Descrizione fisica	1 online resource (230 p.)
Disciplina	650
Soggetto topico	Management information systems Knowledge management Business Information Systems Knowledge Management
ISBN	3-658-12225-0
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Nota di contenuto	Foreword; Preface; Table of Content; List of Figures; List of Tables; List of Abbreviations; PART I - Introduction, Economic Relevance, and Research Design ; 1 Introduction; 1.1 Initial Problem Statement; 1.2 Economic Relevance; 1.3 Organization of this Thesis; 1.4 Published Work; 1.4.1 Book Chapters; 1.4.2 Papers in Conference Proceedings; 1.4.3 Other Publications; 2 Research Design; 2.1 Semantic Technologies and Ontologies; 2.2 Research Goal; 2.3 Research Questions; 2.4 Research Methodology; 2.4.1 Design Science Research Methodology; 2.4.2 Ontology Development Methodology PART II - Foundations: Data Quality, Semantic Technologies, and the Semantic Web 3 Data Quality; 3.1 Data Quality Dimensions; 3.2 Quality Influencing Artifacts; 3.3 Data Quality Problem Types; 3.3.1 Quality Problems of Attribute Values; 3.3.2 Multi-Attribute Quality Problems; 3.3.3 Problems of Object Instances; 3.3.4 Quality Problems of Data Models; 3.3.5 Common Linguistic Problems; 3.4 Data Quality in the Data Lifecycle; 3.4.1 Data Acquisition Phase; 3.4.2 Data Usage Phase; 3.4.3 Data Retirement Phase; 3.4.4 Data Quality Management throughout the Data Lifecycle 3.5 Data Quality Management Activities3.5.1 Total Information Quality Management (TIQM); 3.5.2 Total Data Quality Management (TDQM); 3.5.3 Comparison of Methodologies; 3.6 Role of Data Requirements in DQM; 3.6.1 Generic Data Requirement Types; 3.6.2 Challenges Related to Requirements Satisfaction; 4 Semantic Technologies; 4.1 Characteristics of an Ontology; 4.2 Knowledge Representation in the Semantic Web; 4.2.1 Resources and Uniform Resource Identifiers (URIs); 4.2.2 Core RDF Syntax: Triples, Literal Triples, and RDF Links; 4.2.3 Constructing an Ontology with RDF, RDFS, and OWL 4.2.4 Language Profiles of OWL and OWL 24.3 SPARQL Query Language for RDF; 4.4 Reasoning and Inferencing; 4.5 Ontologies and Relational Databases; 5 Data Quality in the Semantic Web; 5.1 Data Sources of the Semantic Web; 5.2 Semantic Web-specific Quality Problems; 5.2.1 Document Content Problems; 5.2.2 Data Format Problems; 5.2.3 Problems of Data Definitions and Semantics; 5.2.4 Problems of Data Classification; 5.2.5 Problems of Hyperlinks; 5.3 Distinct Characteristics of Data Quality in the Semantic Web; PART III - Development and Evaluation of the Semantic Data Quality Management Framework 6 Specification of Initial Requirements6.1 Motivating Scenario; 6.2 Initial Requirements for SDQM; 6.2.1 Task Requirements; 6.2.2 Functional Requirements; 6.2.3 Conditional Requirements; 6.2.4 Research Requirements; 6.3 Summary of SDQM's Requirements ; 7 Architecture of the Semantic Data Quality Management Framework (SDQM); 7.1 Data Acquisition Layer; 7.1.1 Reusable Artifacts for the Data Acquisition Layer; 7.1.2 Data Acquisition for SDQM; 7.2 Data Storage Layer; 7.2.1 Reusable Artifacts for Data Storage in SDQM; 7.2.2 The Data Storage Layer of SDQM; 7.3 Data Quality Management Vocabulary 7.3.1 Reuse of Existing Ontologies
Record Nr.	UNINA-9910254942103321

Edizione	[1st ed. 2019.]
Pubbl/distr/stampa	Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Descrizione fisica	1 online resource (VIII, 316 p. 117 illus.)
Disciplina	658.40301
Soggetto topico	Operations research Decision making Big data Management information systems E-commerce Statistics Engineering economics Engineering economy Operations Research/Decision Theory Big Data/Analytics Business Information Systems e-Commerce/e-business Statistics for Business, Management, Economics, Finance, Insurance Engineering Economics, Organization, Logistics, Marketing
ISBN	3-319-95651-5
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Nota di contenuto	Advanced Regression Models in Data Science -- Data Science Method in Analysis of Flood Risk in Mississippi Gulf Coast Area -- An efficient bundle-like algorithm for data-driven multi-objective bi-level signal design for traffic networks with hazardous material transportation -- Deploying a scalable Data Science environment using Docker -- Data Science and Conversational Interfaces: A new revolution in Digital Business -- After 2017: Managers Exit and Banks Arise.
Record Nr.	UNINA-9910337787303321

Autore	Consoli Sergio
Edizione	[1st ed. 2021.]
Pubbl/distr/stampa	Springer Nature, 2021
Descrizione fisica	1 online resource (XIV, 355 p. 56 illus., 44 illus. in color.)
Disciplina	006.312
Soggetto topico	Data mining Machine learning Management information systems Big data Application software Information storage and retrieval Data Mining and Knowledge Discovery Machine Learning Business Information Systems Big Data/Analytics Computer Appl. in Administrative Data Processing Information Storage and Retrieval
Soggetto non controllato	Data Mining and Knowledge Discovery Machine Learning Business Information Systems Big Data/Analytics Computer Appl. in Administrative Data Processing Information Storage and Retrieval IT in Business Computer and Information Systems Applications Open Access Data Mining Big Data Data Analytics Decision Support Systems Semantics and Reasoning Expert systems / knowledge-based systems Business mathematics & systems Public administration Information technology: general issues Information retrieval Data warehousing
ISBN	3-030-66891-6
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Nota di contenuto	Data Science Technologies in Economics and Finance: A Gentle Walk-In -- Supervised Learning for the Prediction of Firm Dynamics -- Opening the Black Box: Machine Learning Interpretability and Inference Tools with an Application to Economic Forecasting -- Machine Learning for Financial Stability -- Sharpening the Accuracy of Credit Scoring Models with Machine Learning Algorithms -- Classifying Counterparty Sector in EMIR Data -- Massive Data Analytics for Macroeconomic Nowcasting -- New Data Sources for Central Banks -- Sentiment Analysis of Financial News: Mechanics and Statistics -- Semi-supervised Text Mining for Monitoring the News About the ESG Performance of Companies -- Extraction and Representation of Financial Entities from Text -- Quantifying News Narratives to Predict Movements in Market Risk -- Do the Hype of the Benefits from Using New Data Science Tools Extend to Forecasting Extremely Volatile Assets? -- Network Analysis for Economics and Finance: An application to Firm Ownership.
Record Nr.	UNISA-996464413703316

Edizione	[1st ed. 2015.]
Pubbl/distr/stampa	Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
Descrizione fisica	1 online resource (XV, 111 p. 24 illus.)
Disciplina	658.403
Collana	Lecture Notes in Business Information Processing
Soggetto topico	Business information services Data mining Operations research Information technology - Management Management science Production management Business Information Systems Data Mining and Knowledge Discovery Operations Research and Decision Theory Computer Application in Administrative Data Processing Operations Research, Management Science Operations Management
ISBN	3-319-18533-0
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Nota di contenuto	‘Big Data’ Decision Making Use Cases -- The Roles of Big Data in the Decision-Support Process: An Empirical Investigation -- Cloud Enabled Big Data Business Platform for Logistics Services: A Research and Development Agenda -- Making Sense of Governmental Activities Over Social Media: A Data-Driven Approach -- Data-Mining and Expert Models for Predicting Injury Risk in Ski Resorts -- The Effects of Performance Ratios in Predicting Corporate Bankruptcy: The Italian Case -- A Tangible Collaborative Decision Support System for Various Variants of the Vehicle Routing Problem -- Decision Support Model for Participatory Management of Water Resource -- Modeling Interactions Among Criteria in MCDM Methods: A Review.
Record Nr.	UNINA-9910299230103321