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Hybrid Approach for Solving Multi-Objective Hybrid Flow Shop Scheduling Problems with Family Setup Times
In:
Procedia computer science (Hrsg.):
Hybrid Approach for Solving Multi-Objective Hybrid Flow Shop Scheduling Problems with Family Setup Times;
1685-1694;
Procedia computer science;
Procedia computer science - Amsterdam;
2022;
|
Addressing the Dichotomy of Theory and Practice in Design Science Research Methodologies
In:
ResearchGATE - Cambridge, Mass.: ResearchGATE Corp. (Hrsg.):
Addressing the Dichotomy of Theory and Practice in Design Science Research Methodologies;
1-6;
ResearchGATE - Cambridge, Mass.: ResearchGATE Corp.;
St. Petersburg, FL, USA;
2022;
|
Following the Digital Thread - A Cloud-Based Observation
In:
ResearchGATE - Cambridge, Mass.: ResearchGATE Corp. (Hrsg.):
Following the Digital Thread;
1-10;
ResearchGATE - Cambridge, Mass.: ResearchGATE Corp.;
ResearchGATE - Cambridge, Mass.: ResearchGATE Corp.;
2022;
|
A Holistic View of Adaptive Supply Chain in Retailing Industry
In:
AMCIS 2022 Proceedings - AIS Library (Hrsg.):
A Holistic View of Adaptive Supply Chain in Retailing Industry;
11;
AMCIS 2022 Proceedings - AIS Library;
AMCIS 2022 Proceedings - AIS Library;
2022;
|
Toward A Lifecycle for Data Science: A Literature Review of Data Science Process Models
1534;
Pacis 2022;
Taipai;
2022;
|
Comparative analysis of machine learning models for anomaly detection in manufacturing
In:
Procedia computer science (Hrsg.):
Comparative analysis of machine learning models for anomaly detection in manufacturing;
1288-1297;
Procedia computer science;
Procedia computer science - Amsterdam;
2022;
|
Empirical Evaluation of BPMN Extension Language
239-247;
Scitepress;
Malta, Valetta;
2022;
|
Addressing IT Capacity Management Concerns Using Machine Learning Techniques
In:
SN Computer Science - Singapore: Springer Singapore, Bd. 3 (Hrsg.):
Addressing IT Capacity Management Concerns Using Machine Learning Techniques;
1-15;
SN Computer Science - Singapore: Springer Singapore, Bd. 3;
Singapore;
2022;
|
The performance benefit of data analytics applications
In:
Procedia computer science (Hrsg.):
The performance benefit of data analytics applications;
679-683;
Procedia computer science;
Procedia computer science-Amsterdam;
2022;
|
Migration Patterns for Applications in Cloud Computing Environments
LinkSpringer;
2022;
|
Adapting the (Big) Data Science Engineering Process to the Application of Test Driven Development
In:
SCITEPRESS - Science and Technology Publications, Lda.; Wijnhoven, Fons . (Hrsg.):
Adapting the (Big) Data Science Engineering Process to the Application of Test Driven Development;
120-129;
SCITEPRESS - Science and Technology Publications, Lda.; Wijnhoven, Fons .;
ICSBT, Lisbon, Portugal;
2022;
|
Implementing Test Driven Development in the Big Data Domain: A Movie Recommendation System as an Exemplary Case
In:
Proceedings of the 7th International Conference on Internet of Things, Big Data and Security (IoTBDS 2022)/ IoTBDS - Setúbal: SciTePress - Science and Technology Publications, Lda. (Hrsg.):
Implementing Test Driven Development in the Big Data Domain: A Movie Recommendation System as an Exemplary Case;
239-248;
Proceedings of the 7th International Conference on Internet of Things, Big Data and Security (IoTBDS 2022)/ IoTBDS - Setúbal: SciTePress - Science and Technology Publications, Lda.;
Magdeburg;
2022;
|
Investigating the incorporation of big data in management information systems
109-120;
Business Information Systems Workshops - Cham: Springer International Publishing;
Business Information Systems Workshops - Cham: Springer International Publishing;
2022;
|
Scitepress;
Magdeburg;
2022;
|
A Process Model for Test Driven Development in the Big Data Domain
109-118;
Scitepress;
Malta, Valetta;
2022;
|
Exploring the Test Driven Development of a Fraud Detection Application using the Google Cloud Platform
83-94;
Scitepress;
Malta, Valetta;
2022;
|
A Literature Review on the Challenges of Applying Test-Driven Development in Software Engineering
CSIMQ;
2022;
|
Lowering Big Data Project Barriers: Identifying System Architecture Templates for Standard Use Cases in Big Data
In:
SCITEPRESS - Science and Technology Publications, Lda.; Wijnhoven, Fons (Hrsg.):
Lowering Big Data Project Barriers: Identifying System Architecture Templates for Standard Use Cases in Big Data;
33-44;
SCITEPRESS - Science and Technology Publications, Lda.; Wijnhoven, Fons;
ICSBT, Lisbon, Portugal,;
2022;
|
Reliability Estimation of a Smart Metering Architecture using a Monte Carlo Simulation -
In:
Proceedings of the 7th International Conference on Internet of Things, Big Data and Security (IoTBDS 2022)/ IoTBDS - Setúbal: SciTePress - Science and Technology Publications (Hrsg.):
Reliability Estimation of a Smart Metering Architecture using a Monte Carlo Simulation;
47-54;
Proceedings of the 7th International Conference on Internet of Things, Big Data and Security (IoTBDS 2022)/ IoTBDS - Setúbal: SciTePress - Science and Technology Publications;
IoTBDS - Setúbal: SciTePress - Science and Technology Publications, Lda;
2022;
|
Facilitating the Decentralisation of Software Development Projects from a Project Management Perspective: A Literature Review -
In:
SCITEPRESS - Science and Technology Publications (Hrsg.):
Facilitating the Decentralisation of Software Development Projects from a Project Management Perspective: A Literature Review -;
22-34;
SCITEPRESS - Science and Technology Publications;
Proceedings of the 4th International Conference on Finance, Economics, Management and IT Business - [Setúbal, Portugal;
2022;
|
Facing Big Data System Architecture Deployments: Towards an Automated Approach Using Container Technologies for Rapid Prototyping
In:
ScholarSpace (Hrsg.):
Facing Big Data System Architecture Deployments: Towards an Automated Approach Using Container Technologies for Rapid Prototyping;
ScholarSpace;
Hawaii;
2022;
|
Providing Clarity on Big Data: Discussing Its Definition and the Most Relevant Data Characteristics
141-148;
Scitepress;
Malta, Valetta;
2022;
|
Methodological Case Study Approach for Detecting Business Model Enablers in Copycat Ventures
35-54;
International journal of organizational and collective intelligence - Hershey, Pa;
International journal of organizational and collective intelligence - Hershey, Pa;
2021;
|
Towards a Systematic Requirements Engineering for IT System-based Business Simulation Games
In:
SCITEPRESS - Science and Technology Publications, Lda.; Csapó, Beno (Hrsg.):
13th International Conference on Computer Supported Education-Volume 1: CSEDU;
986-391;
SCITEPRESS - Science and Technology Publications, Lda.; Csapó, Beno;
Setúbal, Portugal;
2021;
|
An adaptive scheduling framework for solving multi-objective hybrid flow shop scheduling problems
1-10;
Hawaii International Conference on System Sciences - Honolulu, HI: University of Hawai'i at Manoa, Hamilton Library;
Hawaii International Conference on System Sciences 2021;
2021;
|
Towards a Concept for Building a Big Data Architecture with Microservices
In:
Hannover: TIB Open Publishing (Hrsg.):
6th International Conference on Internet of Things, Big Data and Security-IoTBDS;
83-94;
Hannover: TIB Open Publishing;
Hannover: TIB Open Publishing;
2021;
|
Examining the Interplay Between Big Data and Microservices-A Bibliometric Review
International journal of organizational and collective intelligence: IJOCI ; an official publication of the Information Resources Management Association - Hershey;
International journal of organizational and collective intelligence: IJOCI ; an official publication of the Information Resources Management Association - Hershey;
2021;
|
Applying Test Driven Development in the Big Data Domain-Lessons From the Literature
In:
New York,NY,United States: Association for Computing Machinery (Hrsg.):
International Conference on Information Technology (ICIT);
511-516;
New York,NY,United States: Association for Computing Machinery;
New York,NY,United States: Association for Computing Machinery;
2021;
|
A Preliminary Overwiew of the Situation in Big Data Testing
In:
SCITEPRESS - Science and Technology Publications, Lda. (Hrsg.):
6th International Conference on Internet of Things, Big Data and Security-IoTBDS;
296-302;
SCITEPRESS - Science and Technology Publications, Lda.;
[Setúbal]: SCITEPRESS - Science and Technology Publications, Lda.;
2021;
|
Challenges in Data Acquisition and Management in Big Data Environments
In:
[Setúbal]: SCITEPRESS - Science and Technology Publications, Lda.; Wills, Gary (Hrsg.):
6th International Conference on Internet of Things, Big Data and Security-IoTBDS;
193-204;
[Setúbal]: SCITEPRESS - Science and Technology Publications, Lda.; Wills, Gary;
[Setúbal]: SCITEPRESS - Science and Technology Publications, Lda.; Wills, Gary;
2021;
|
A Concept for the Use of Chatbots to Provide the Public with Vital Information in Crisis Situations
In:
SpringerLink (Hrsg.):
Proceedings of Sixth International Congress on Information and Communication Technology: ICICT 2021, London;
281-289;
SpringerLink;
Singapore: Springer Singapore; Yang, Xin-She;
2021;
|
Quality assurance in big data engineering - a metareview
In:
Riga: Techn. Univ (Hrsg.):
Complex systems informatics and modeling quarterly;
Riga: Techn. Univ;
Riga: Techn. Univ;
2021;
|
Applying Multi-Criteria Decision-Making for the Selection of Big Data Technologies
In:
Virtual Conference, August, 2021, ResearchGATE - Cambridge, Mass.: ResearchGATE Corp. (Hrsg.):
AMCIS 2021 Proceedings 10;
1-27;
Virtual Conference, August, 2021, ResearchGATE - Cambridge, Mass.: ResearchGATE Corp.;
Americas Conference on Information Systems, AMCIS, Montreal, Canada -;
2021;
|
Quantitative Analysis of the Effects of Different Carbon Tax Levels on Emissions and Costs of Data Centers.
In:
WI2020 Zentrale Tracks;
1349-1363;
2020;
|
Automation of Customer Initiated Back Office Processes: A Design Science Research Approach to link Robotic Process Automation and Chatbots
In:
ACIS 2020 Proceedings 15;
2020;
|
Comparative Study of e-Commerce Ventures: Copycat Enablers in Business Models
In:
FEMIB 2020 - [Setúbal, Portugal]: SCITEPRESS - Science and Technology Publications, Lda.; Baudier, Patricia (Hrsg.):
Proceedings of the 2nd International Conference on Finance, Economics, Management and IT Business - Volume 1: FEMIB,;
80-90;
FEMIB 2020 - [Setúbal, Portugal]: SCITEPRESS - Science and Technology Publications, Lda.; Baudier, Patricia;
FEMIB 2020 - [Setúbal, Portugal]: SCITEPRESS - Science and Technology Publications, Lda.; Baudier, Patricia;
2020;
|
Generating Content-Compliant Training Data in Big Data Education
In:
CSEDU 2020 - Setúbal: SCITEPRESS Digital Library; (Hrsg.):
Proceedings of the 12th International Conference on Computer Supported Education;
104-110;
CSEDU 2020 - Setúbal: SCITEPRESS Digital Library;;
Setubal;
2020;
|
Application of NLP to determine the State of Issues in Bug Tracking Systems
In:
2020 International Conference on Data Mining Workshops (ICDMW).IEEE;
53-61;
2020;
|
Towards a Blockchain Technology Framework-Literature Review on components in blockchain implementations
In:
Australian Conference on Information Systems - ACIS - Volume 2020;
Wellington, New Zealand;
2020;
|
Classifying Big Data Taxonomies: A Systematic Literature Review
In:
IoTBDS 2020 - [Setúbal, Portugal]: SCITEPRESS - Science and Technology Publications, Lda.; Wills, Gary (Hrsg.):
Proceedings of the 5th International Conference on Internet of Things, Big Data and Security;
267-278;
IoTBDS 2020 - [Setúbal, Portugal]: SCITEPRESS - Science and Technology Publications, Lda.; Wills, Gary;
IoTBDS 2020 - [Setúbal, Portugal]: SCITEPRESS - Science and Technology Publications, Lda.; Wills, Gary;
2020;
|
Determining Potential Failures and Challenges in Data Driven Endeavors: A Real World Case Study Analysis
In:
IoTBDS 2020 - [Setúbal, Portugal]: SCITEPRESS - Science and Technology Publications, Lda.; Wills, Gary (Hrsg.):
Proceedings of the 5th International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS;
453-460;
IoTBDS 2020 - [Setúbal, Portugal]: SCITEPRESS - Science and Technology Publications, Lda.; Wills, Gary;
IoTBDS 2020 - [Setúbal, Portugal]: SCITEPRESS - Science and Technology Publications, Lda.; Wills, Gary;
2020;
|
Improving the Quality Validation of the ETL Process using Test Automation
In:
AMCIS (Hrsg.):
AMCIS 2020 Proceedings;
AMCIS;
AIS eLibrary;
2020;
|
Discussing Relations Between Dynamic Business Environments and Big Data Analytics
58-82;
CSIMQ;
Complex systems informatics and modeling quarterly: CSIMQ - Riga: Techn. Univ.;
2020;
|
Exploring the Applicability of Test Driven Development in the Big Data Domain
2020;
|
Enterprise architecture's effects on organizations' ability to adopt artificial intelligence - A Resource-based perspective
In:
Proceedings of the 28th European Conference on Information Systems (ECIS), An Online AIS Conference,;
Aisel;
2020;
|
Providing Clarity on Big Data Technologies - The BDTOnto Ontology
In:
IJIIT ; an official publication of the Information Resources Management Association - Hershey (Hrsg.):
International Journal of Intelligent Information Technologies;
49-73;
IJIIT ; an official publication of the Information Resources Management Association - Hershey;
Hershey, PA;
2020;
|
Approaching the (Big) Data Science Engineering Process
In:
SCITEPRESS - Science and Technology Publications, Lda.; Wills, Gary (Hrsg.):
Proceedings of the 5th International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS,;
428-435;
SCITEPRESS - Science and Technology Publications, Lda.; Wills, Gary;
Setúbal, Portugal;
2020;
|
Identifying Similarities of Big Data Projects–A Use Case Driven Approach
In:
IEEE (Hrsg.):
IEEE Access ( Volume: 8);
186599 - 186619;
IEEE;
2020;
|
Towards an Automatized Way for Modeling Big Data System Architectures
In:
Proceedings - Cham: Springer International Publishing (Hrsg.):
23rd International Conference on Business Information Systems;
Proceedings - Cham: Springer International Publishing;
BIS 2020, Colorado Springs;
2020;
|
A Modernized Model for PerformanceRequirements and their Interdependencies
In:
AICCSA (Hrsg.):
16th ACS/IEEE International Conference on Computer Systems and Applications, AICCSA 2019; Abu Dhabi, UAE; IEEE;
AICCSA;
Abu Dhabi, UAE, IEEE;
2019;
|
Towards an Automated Optimization-as-a-Service Concept
In:
Proceedings of the 4th International Conference on Internet of Things, Big Data and Security;
339-343;
2019;
|
On the Utility of Machine Learning for Service Capacity Management of Enterprise Applications
In:
Proceedings of the 15th International Conference on Signal-Image Technology & Internet-Based Systems;
2019;
|
Toward an autonomic and adaptive load management strategy for reducing energy consumption under performance constraints in data centers
In:
9th International Conference on Cloud Computing and Services Science, CLOSER 2019;
471-478;
SciTePress;
Crete, Greece;
2019;
|
A holistic view of the server consolidation and virtual machines placement problems
In:
15th International Conference on Signal Image Technology & Internet based Systems, SITIS 2019;
Sorrento, Italy;
2019;
|
Proof of Provision: Improving Blockchain Technology by Cloud Computing
In:
Proceedings of the 9th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER;
SciTePress;
2019;
|
Machine Learning Techniques for Annotations of Large Financial Text Datasets.
In:
25th Americas Conference on Information Systems, AMCIS 2019, Cancun, Mexico, August 15-17, 201;
2019;
|
A dynamic perspective: local interactions driving the spread of social networks
In:
Enterprise Information Systems;
219-235;
2019;
|
Understanding Issues in Big Data Applications - A Multidimensional Endeavor.
In:
25th Americas Conference on Information Systems, AMCIS 2019, Cancun, Mexico, August 15-17, 2019;
2019;
|
Exploring the Specificities and Challenges of Testing Big Data Systems
In:
15th International Conference on Signal Image Technology & Internet based Systems;
2019;
|
Testing in Big Data: An Architecture Pattern for a Development Environment for Innovative, Integrated and Robust Applications
In:
14th International Conference on Wirtschaftsinformatik;
2019;
|
Mobile Procurement Management
In:
Handbuch Digitale Wirtschaft;
1-15;
Springer;
2019;
|
Challenging Big Data Engineering: Positioning of Current and Future Development
In:
Proceedings of the 4th International Conference on Internet of Things, Big Data and Security;
257-268;
2019;
|
Decision-Support for Selecting Big Data Reference Architectures
In:
Proceedings of the 22nd International Conference on Business Information Systems; 2019;
3-17;
2019;
|
An Inventory-Based Mobile Application for Warehouse Management to Digitize Very Small Enterprises
In:
Proceedings of the 22nd International Conference on Business Information Systems;
2019;
|
Toward a Performance Requirements Model for the Early Design Phase of IT Systems
In:
Proceedings of the Sixth International Conference on Enterprise Systems;
9-16;
Limassol, Cyprus;
2018;
|
Analysis and modeling of learning systems and development of a process model for flexible orchestration of learning environments
In:
Multikonferenz Wirtschaftsinformatik (MKWI);
2018;
|
Performance Evaluation of Application Layer
In:
IEEE (Hrsg.):
Proceedings of Sixth International Conference on Enterprise Systems;
180-187;
Limassol, Zypern;
2018;
|
Toward Adaptive Manufacturing: Scheduling Problems in the Context of Industry 4.0
In:
Proceedings of the Sixth International Conference on Enterprise Systems;
108-115;
Limassol, Cyprus;
2018;
|
An Information System Architecture for Build- and Engineer-to-Order Production of Application Services
In:
Inf Syst E-Bus Manage;
2018;
|
An Application System Landscape Engineering Process Framework (ASLEP)
In:
Proceedings of the 24th Americas Conference on Information Systems (AMCIS);
1-10;
AIS Electronic Library (AISeL);
2018;
|
Internet of Things Middleware: How Suitable are Service-oriented Architecture and Resource-oriented Architecture
In:
Proceedings of the 3rd International Conference on Internet of Things, Big Data and Security;
229-236;
2018;
|
Load Distribution Strategies for a Sustainable IT Resources Management
In:
Multikonferenz Wirtschaftsinformatik (MKWI);
2018;
|
A Data-Science-as-a-Service Model
In:
Proceedings of the 8th International Conference on Cloud Computing and Services Science;
432-439;
2018;
|
Classifying Big Data Technologies – An Ontology-based Approach
1-10;
AIS Electronic Library (AISeL);
2018;
|