Please use this identifier to cite or link to this item:
http://localhost/handle/Hannan/1159
Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Abramowicz, Witold. ; | en_US |
| dc.date.accessioned | 2013 | en_US |
| dc.date.accessioned | 2020-05-17T08:25:58Z | - |
| dc.date.available | 2020-05-17T08:25:58Z | - |
| dc.date.issued | 2017 | en_US |
| dc.identifier.isbn | 9783319593364 ; | en_US |
| dc.identifier.isbn | 9783319593357 (print) ; | en_US |
| dc.identifier.uri | http://localhost/handle/Hannan/1159 | - |
| dc.description | Printed edition: ; 9783319593357. ; | en_US |
| dc.description | SpringerLink (Online service) ; | en_US |
| dc.description | 005.7 ; 23 ; | en_US |
| dc.description | en_US | |
| dc.description | QA76.76.A65 ; | en_US |
| dc.description | en_US | |
| dc.description | en_US | |
| dc.description | en_US | |
| dc.description.abstract | This book constitutes the refereed proceedings of the 20th International Conference on Business Information Systems, BIS 2017, held in Poznaee, Poland, in June 2017. Big Data Analytics helps to understand and enhance enterprises by linking many fields of information technology and business. This yearees conference theme was: Big Data Analytics for Business and Public Administration. The 24 full papers presented in this volume were carefully reviewed and selected from 72 submissions. They were organized in topical sections named: big and smart data; business and enterprise modeling; ICT project management; process management; smart infrastructure; and applications. . ; | en_US |
| dc.description.statementofresponsibility | edited by Witold Abramowicz. | en_US |
| dc.description.tableofcontents | Big and Smart Data -- On Enriching User-Centered Data Integration Schemas in Service Lakes -- Design Principles for Digital Occupational Health Systems. - Estimating the Quality of Articles in Russian Wikipedia using the Logical-Linguistic Model of Fact Extraction -- Business and Enterprise Modelling Automatic Discovery of Object-Centric Behavioral Constraint Models -- Semi-Automated Generation of EA Deliverables -- Towards Automated Process Model Annotation with Activity Taxonomies: Use Cases and State of the Art -- Multi-Process Reporting and Analysis for Change Management and Performance Reviews. - On Avoiding Erroneous Synchronization in BPMN Processes -- IFTT: Software Application Interfaces Regression Testing. - ICT Project Management -- Influence of Task Interdependence on Teamwork Quality and Project Performance. - On the Use of ISO/IEC Standards to Address Data Quality Aspects in Big Data Analytics Cloud Services -- Potentials of Digitization in the Tourism Industry ee Empirical Results from German Experts -- Process Management How to make Process Model Matching work bettere An Analysis of Current Similarity Measures -- Semi-Automatic Development of Modelling Techniques with Computational Linguistic Methods ee A Procedure Model and its Application. - Obstacle-Aware Resource Allocation in Business Processes. - Ontology-based Data Access for Extracting Event Logs from Legacy Data: The onprom Tool and Methodology -- Subgroup Discovery in Process Mining -- Business Process Comparison: A Methodology and Case Study. -Smart Infrastructures -- A Smart Energy Platform for the Internet of Things ee Motivation, Challenges, and Solution Proposal -- Towards a Taxonomy of Constraints in Demand-Side-Management-Methods for a Residential Context -- Decomposition of Tasks in Business Process Outsourcing -- Applications. -Analysis Method for Conceptual Context Modeling Applied in Production Environments. - Evaluating Business Domain-Specific e-Collaboration: The Impact of Integrated e-Collaboration on the Coordination of Component Calculations in Product Costing.-Improving Pavement Anomaly Detection Using Backward Feature Elimination. . ; | en_US |
| dc.format.extent | XIII, 352 p. 114 illus. ; online resource. ; | en_US |
| dc.publisher | Springer International Publishing : | en_US |
| dc.publisher | Imprint: Springer, | en_US |
| dc.relation.ispartofseries | Lecture Notes in Business Information Processing, ; 1865-1348 ; ; 288. ; | en_US |
| dc.relation.ispartofseries | Lecture Notes in Business Information Processing, ; 1865-1348 ; ; 288. ; | en_US |
| dc.relation.haspart | 9783319593364.pdf | en_US |
| dc.subject | Computer Science | en_US |
| dc.subject | Management Information Systems | en_US |
| dc.subject | Big data. ; | en_US |
| dc.subject | Software Engineering | en_US |
| dc.subject | Data Mining | en_US |
| dc.subject | Computer Science | en_US |
| dc.subject | Information Systems Applications | en_US |
| dc.subject | Business Information Systems. ; | en_US |
| dc.subject | Data Mining and Knowledge Discovery. | en_US |
| dc.title | Business Information Systems | en_US |
| dc.title.alternative | 20th International Conference, BIS 2017, Poznan, Poland, June 28ee30, 2017, Proceedings / | en_US |
| dc.type | Book | en_US |
| dc.publisher.place | Cham : | en_US |
| Appears in Collections: | مهندسی فناوری اطلاعات | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 9783319593364.pdf | 39.84 MB | Adobe PDF |  Preview File |
Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Abramowicz, Witold. ; | en_US |
| dc.date.accessioned | 2013 | en_US |
| dc.date.accessioned | 2020-05-17T08:25:58Z | - |
| dc.date.available | 2020-05-17T08:25:58Z | - |
| dc.date.issued | 2017 | en_US |
| dc.identifier.isbn | 9783319593364 ; | en_US |
| dc.identifier.isbn | 9783319593357 (print) ; | en_US |
| dc.identifier.uri | http://localhost/handle/Hannan/1159 | - |
| dc.description | Printed edition: ; 9783319593357. ; | en_US |
| dc.description | SpringerLink (Online service) ; | en_US |
| dc.description | 005.7 ; 23 ; | en_US |
| dc.description | en_US | |
| dc.description | QA76.76.A65 ; | en_US |
| dc.description | en_US | |
| dc.description | en_US | |
| dc.description | en_US | |
| dc.description.abstract | This book constitutes the refereed proceedings of the 20th International Conference on Business Information Systems, BIS 2017, held in Poznaee, Poland, in June 2017. Big Data Analytics helps to understand and enhance enterprises by linking many fields of information technology and business. This yearees conference theme was: Big Data Analytics for Business and Public Administration. The 24 full papers presented in this volume were carefully reviewed and selected from 72 submissions. They were organized in topical sections named: big and smart data; business and enterprise modeling; ICT project management; process management; smart infrastructure; and applications. . ; | en_US |
| dc.description.statementofresponsibility | edited by Witold Abramowicz. | en_US |
| dc.description.tableofcontents | Big and Smart Data -- On Enriching User-Centered Data Integration Schemas in Service Lakes -- Design Principles for Digital Occupational Health Systems. - Estimating the Quality of Articles in Russian Wikipedia using the Logical-Linguistic Model of Fact Extraction -- Business and Enterprise Modelling Automatic Discovery of Object-Centric Behavioral Constraint Models -- Semi-Automated Generation of EA Deliverables -- Towards Automated Process Model Annotation with Activity Taxonomies: Use Cases and State of the Art -- Multi-Process Reporting and Analysis for Change Management and Performance Reviews. - On Avoiding Erroneous Synchronization in BPMN Processes -- IFTT: Software Application Interfaces Regression Testing. - ICT Project Management -- Influence of Task Interdependence on Teamwork Quality and Project Performance. - On the Use of ISO/IEC Standards to Address Data Quality Aspects in Big Data Analytics Cloud Services -- Potentials of Digitization in the Tourism Industry ee Empirical Results from German Experts -- Process Management How to make Process Model Matching work bettere An Analysis of Current Similarity Measures -- Semi-Automatic Development of Modelling Techniques with Computational Linguistic Methods ee A Procedure Model and its Application. - Obstacle-Aware Resource Allocation in Business Processes. - Ontology-based Data Access for Extracting Event Logs from Legacy Data: The onprom Tool and Methodology -- Subgroup Discovery in Process Mining -- Business Process Comparison: A Methodology and Case Study. -Smart Infrastructures -- A Smart Energy Platform for the Internet of Things ee Motivation, Challenges, and Solution Proposal -- Towards a Taxonomy of Constraints in Demand-Side-Management-Methods for a Residential Context -- Decomposition of Tasks in Business Process Outsourcing -- Applications. -Analysis Method for Conceptual Context Modeling Applied in Production Environments. - Evaluating Business Domain-Specific e-Collaboration: The Impact of Integrated e-Collaboration on the Coordination of Component Calculations in Product Costing.-Improving Pavement Anomaly Detection Using Backward Feature Elimination. . ; | en_US |
| dc.format.extent | XIII, 352 p. 114 illus. ; online resource. ; | en_US |
| dc.publisher | Springer International Publishing : | en_US |
| dc.publisher | Imprint: Springer, | en_US |
| dc.relation.ispartofseries | Lecture Notes in Business Information Processing, ; 1865-1348 ; ; 288. ; | en_US |
| dc.relation.ispartofseries | Lecture Notes in Business Information Processing, ; 1865-1348 ; ; 288. ; | en_US |
| dc.relation.haspart | 9783319593364.pdf | en_US |
| dc.subject | Computer Science | en_US |
| dc.subject | Management Information Systems | en_US |
| dc.subject | Big data. ; | en_US |
| dc.subject | Software Engineering | en_US |
| dc.subject | Data Mining | en_US |
| dc.subject | Computer Science | en_US |
| dc.subject | Information Systems Applications | en_US |
| dc.subject | Business Information Systems. ; | en_US |
| dc.subject | Data Mining and Knowledge Discovery. | en_US |
| dc.title | Business Information Systems | en_US |
| dc.title.alternative | 20th International Conference, BIS 2017, Poznan, Poland, June 28ee30, 2017, Proceedings / | en_US |
| dc.type | Book | en_US |
| dc.publisher.place | Cham : | en_US |
| Appears in Collections: | مهندسی فناوری اطلاعات | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 9783319593364.pdf | 39.84 MB | Adobe PDF | Preview File |
Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Abramowicz, Witold. ; | en_US |
| dc.date.accessioned | 2013 | en_US |
| dc.date.accessioned | 2020-05-17T08:25:58Z | - |
| dc.date.available | 2020-05-17T08:25:58Z | - |
| dc.date.issued | 2017 | en_US |
| dc.identifier.isbn | 9783319593364 ; | en_US |
| dc.identifier.isbn | 9783319593357 (print) ; | en_US |
| dc.identifier.uri | http://localhost/handle/Hannan/1159 | - |
| dc.description | Printed edition: ; 9783319593357. ; | en_US |
| dc.description | SpringerLink (Online service) ; | en_US |
| dc.description | 005.7 ; 23 ; | en_US |
| dc.description | en_US | |
| dc.description | QA76.76.A65 ; | en_US |
| dc.description | en_US | |
| dc.description | en_US | |
| dc.description | en_US | |
| dc.description.abstract | This book constitutes the refereed proceedings of the 20th International Conference on Business Information Systems, BIS 2017, held in Poznaee, Poland, in June 2017. Big Data Analytics helps to understand and enhance enterprises by linking many fields of information technology and business. This yearees conference theme was: Big Data Analytics for Business and Public Administration. The 24 full papers presented in this volume were carefully reviewed and selected from 72 submissions. They were organized in topical sections named: big and smart data; business and enterprise modeling; ICT project management; process management; smart infrastructure; and applications. . ; | en_US |
| dc.description.statementofresponsibility | edited by Witold Abramowicz. | en_US |
| dc.description.tableofcontents | Big and Smart Data -- On Enriching User-Centered Data Integration Schemas in Service Lakes -- Design Principles for Digital Occupational Health Systems. - Estimating the Quality of Articles in Russian Wikipedia using the Logical-Linguistic Model of Fact Extraction -- Business and Enterprise Modelling Automatic Discovery of Object-Centric Behavioral Constraint Models -- Semi-Automated Generation of EA Deliverables -- Towards Automated Process Model Annotation with Activity Taxonomies: Use Cases and State of the Art -- Multi-Process Reporting and Analysis for Change Management and Performance Reviews. - On Avoiding Erroneous Synchronization in BPMN Processes -- IFTT: Software Application Interfaces Regression Testing. - ICT Project Management -- Influence of Task Interdependence on Teamwork Quality and Project Performance. - On the Use of ISO/IEC Standards to Address Data Quality Aspects in Big Data Analytics Cloud Services -- Potentials of Digitization in the Tourism Industry ee Empirical Results from German Experts -- Process Management How to make Process Model Matching work bettere An Analysis of Current Similarity Measures -- Semi-Automatic Development of Modelling Techniques with Computational Linguistic Methods ee A Procedure Model and its Application. - Obstacle-Aware Resource Allocation in Business Processes. - Ontology-based Data Access for Extracting Event Logs from Legacy Data: The onprom Tool and Methodology -- Subgroup Discovery in Process Mining -- Business Process Comparison: A Methodology and Case Study. -Smart Infrastructures -- A Smart Energy Platform for the Internet of Things ee Motivation, Challenges, and Solution Proposal -- Towards a Taxonomy of Constraints in Demand-Side-Management-Methods for a Residential Context -- Decomposition of Tasks in Business Process Outsourcing -- Applications. -Analysis Method for Conceptual Context Modeling Applied in Production Environments. - Evaluating Business Domain-Specific e-Collaboration: The Impact of Integrated e-Collaboration on the Coordination of Component Calculations in Product Costing.-Improving Pavement Anomaly Detection Using Backward Feature Elimination. . ; | en_US |
| dc.format.extent | XIII, 352 p. 114 illus. ; online resource. ; | en_US |
| dc.publisher | Springer International Publishing : | en_US |
| dc.publisher | Imprint: Springer, | en_US |
| dc.relation.ispartofseries | Lecture Notes in Business Information Processing, ; 1865-1348 ; ; 288. ; | en_US |
| dc.relation.ispartofseries | Lecture Notes in Business Information Processing, ; 1865-1348 ; ; 288. ; | en_US |
| dc.relation.haspart | 9783319593364.pdf | en_US |
| dc.subject | Computer Science | en_US |
| dc.subject | Management Information Systems | en_US |
| dc.subject | Big data. ; | en_US |
| dc.subject | Software Engineering | en_US |
| dc.subject | Data Mining | en_US |
| dc.subject | Computer Science | en_US |
| dc.subject | Information Systems Applications | en_US |
| dc.subject | Business Information Systems. ; | en_US |
| dc.subject | Data Mining and Knowledge Discovery. | en_US |
| dc.title | Business Information Systems | en_US |
| dc.title.alternative | 20th International Conference, BIS 2017, Poznan, Poland, June 28ee30, 2017, Proceedings / | en_US |
| dc.type | Book | en_US |
| dc.publisher.place | Cham : | en_US |
| Appears in Collections: | مهندسی فناوری اطلاعات | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 9783319593364.pdf | 39.84 MB | Adobe PDF | Preview File |