Professor
New Perspectives on Recommender Systems for Industries
Message from the Program Co-Chairs
ForeSight – User-Centered and Personalized Privacy and Security Approach for Smart Living
In: Distributed, Ambient and Pervasive Interactions. Smart Living, Learning, Well-being and Health, Art and Creativity. null (Lecture Notes in Computer Science) vol. 13326 pg. 18-36.
Cham
DOI: 10.1007/978-3-031-05431-0_2
Social Sensing for Personalized Orienteering Mediating the Need for Sociality and the Risk of COVID-19
In: IEEE Transactions on Technology and Society vol. 3 pg. 323-332.
A Cross-domain Landscape of ICT Services in Smart Cities
In: Artificial Intelligence, Machine Learning, and Optimization Tools for Smart Cities: Designing for Sustainability. null (Optimization and Its Applications) vol. 186 pg. 63-95.
DOI: 10.1007/978-3-030-84459-2_5
Guest Editors’ Introduction
In: International Journal of Semantic Computing vol. 16 pg. 161-162.
DOI: 10.1142/S1793351X22020020
Precisional Detection Strategy for 6LoWPAN Networks in IoT
pg. 1006 - 1011.
Evaluation of Smart City Models: A Conceptual and Structural View
pg. 56-65.
Monte Carlo Methods for Industry 4.0 Applications
pg. 242-247.
DOI: 10.1109/SMC53654.2022.9945553
Interoperability-oriented Quality Assessment for Czech Open Data
pg. 446-453.
Human-Generated Web Data Disentanglement for Complex Event Processing
In: Procedia Computer Science vol. 207 pg. 1341-1349.
DOI: 10.1016/j.procs.2022.09.190
An adaptive anti-jamming system in HyperLedger-based wireless sensor networks
In: Wireless Networks
DOI: 10.1007/s11276-022-02886-1
DISDA: Digital Service Design Architecture for Smart City Ecosystems
pg. 207-214.
Modeling Inconsistent Data for Reasoners in Web of Things
In: Procedia Computer Science pg. 1265-1273.
DOI: 10.1016/j.procs.2021.08.130
A Hybrid Data-driven Model for Intrusion Detection in VANET
In: Procedia Computer Science vol. 184 pg. 516-523.
DOI: 10.1016/j.procs.2021.03.065
Recommendation Recovery with Adaptive Filter for Recommender Systems
pg. 283-290.
Towards faster big data analytics for anti‐jamming applications in vehicular ad‐hoc network
In: Transactions on Emerging Telecommunications Technologies vol. 32 pg. 1-22.
DOI: 10.1002/ett.4280
Proactive trust classification for detection of replication attacks in 6LoWPAN-based IoT
In: Internet of Things vol. 16 pg. 100442.
DOI: 10.1016/j.iot.2021.100442
Trust-Based Authentication for Smart Home Systems
In: Wireless Personal Communications vol. 117 pg. 2157-2172.
DOI: 10.1007/s11277-020-07965-0
User Profiling for Tourist Trip Recommendations using Social Sensing
pg. 182-185.
DOI: 10.1109/ISM52913.2021.00036
Trust-based Detection Strategy against Replication Attacks in IoT
vol. 2 pg. 1–12.
DOI: 10.1007/978-3-030-75075-6_53
A Deployable Data as a Service Architecture for Enterprises
pg. 278-285.
A hybrid machine learning model for intrusion detection in VANET
In: Computing pg. 1-29.
DOI: 10.1007/s00607-021-01001-0
Developing the Quality Model for Collaborative Open Data
In: Procedia Computer Science vol. 176 pg. 1883-1892.
DOI: 10.1016/j.procs.2020.09.228
Improving Big Data Clustering for Jamming Detection in Smart Mobility
In: ICT Systems Security and Privacy Protection. 35th IFIP TC-11 SEC 2020 International Information Security and Privacy Conference (IFIP Advances in Information and Communication Technology)
Cham, Switzerland
A Cross-Domain Comparative Study of Big Data Architectures
In: International Journal of Cooperative Information Systems vol. 29 pg. 2030001.
DOI: 10.1142/S0218843020300016
Service Design for Resilience: A Multi-Contextual Modeling Perspective
In: IEEE Access vol. 8 pg. 185526-185543.
DOI: 10.1109/ACCESS.2020.3029320
Developing Reliable Taxonomic Features for Data Warehouse Architectures
pg. 241-249.
DOI: 10.1109/CBI49978.2020.00033
Improving Learning System Performance with Multimedia Semantics
pg. 238-241.
Blockchain-Based Access Control for IoT in Smart Home Systems
In: Database and Expert Systems Applications. Proceedings of the 31th International Conference DEXA 2020, Bratislava, Slovakia, September 14-17, 2020, Part II (Lecture Notes in Computer Science) pg. 17-32.
An Efficient Mutual Authentication Scheme for Internet of Things
In: Internet of Things vol. 9 pg. 100160.
DOI: 10.1016/j.iot.2020.100160
Research Challenges of Open Data as a Service for Smart Cities
pg. 468-472.
Enhanced network intrusion detection system protocol for internet of things
pg. 1156-1163.
Improving orienteering-based tourist trip planning with social sensing
In: Future Generation Computer Systems vol. 110 pg. 931-945.
DOI: 10.1016/j.future.2019.10.028
Exploring Personalized University Ranking and Recommendation
pg. 6-10.
Inferring ratings for custom trips from rich GPS traces
pg. 4:1-4:4.
Quality Management for Big 3D Data Analytics: A Case Study of Protein Data Bank
pg. 286-293.
Exploiting Recommender Systems in Collaborative Healthcare
In: Pervasive Systems, Algorithms and Networks. Proceedings of the 16th International Symposium I-SPAN 2019 (Naples, Italy; September 16-20, 2019). null (Communications in Computer and Information Science) pg. 71-82.
Modelling Service Design and Complexity for Multi-contextual Applications in Smart Cities
pg. 101-106.
DOI: 10.1109/ICSTCC.2019.8885800
Industrial Involvement in Information System Education: Lessons Learned from a Software Quality Course
Toulon, France
Quality Management for Big 3D Data Analytics: A Case Study of Protein Data Bank
pg. 286-293.
Inferring ratings for custom trips from rich GPS traces
pg. 1-4.
A Research Roadmap of Big Data Clustering Algorithms for Future Internet of Things
In: International Journal of Organizational and Collective Intelligence vol. 9 pg. 16-30.
Factoring Personalization in Social Media Recommendations
pg. 344-347.
Piscataway, NJ
Data Quality Management Framework for Smart Grid Systems
In: Business Information Systems (BIS 2019). Proceedings of the 22nd International Conference 2019, Part II (Lecture Notes in Business Information Processing) pg. 299-310.
Cham, Switzerland
DOI: 10.1007/978-3-030-20482-2_24
Self-adaptive RFID Authentication for Internet of Things
In: Advanced information networking and applications. Proceedings of the 33rd International Conference on Advanced Information Networking and Applications (AINA-2019) (Advances in Intelligent Systems and Computing) pg. 1094-1105.
Analysis of Data Warehouse Architectures: Modeling and Classification
pg. 604-611.
Scaling Big Data Applications in Smart City with Coresets
pg. 357-363.
How to Exploit Recommender Systems in Social Media
pg. 537-541.
Exploring Big Data Clustering Algorithms for Internet of Things Applications
pg. 269-276.
Big Data for Internet of Things: A Survey
In: Future Generation Computer Systems vol. 87 pg. 601-614.
DOI: 10.1016/j.future.2018.04.053
A Generalized Evaluation Framework for Multimedia Recommender Systems
In: International Journal of Semantic Computing vol. 12 pg. 541-557.
DOI: 10.1142/S1793351X18500046
Quality Management in Big Data
In: Informatics vol. 5 pg. 19.
DOI: 10.3390/informatics5020019
The Social Media Perception and Reality – Possible Data Quality Deficiencies between Social Media and ERP
pg. 198-204.
Guildelines of Data Quality Issues for Data Integration in the Context of the TPC-DI Benchmark
In: Enterprise Information Systems: Revised Selected Papers of the 19th International Conference (ICEIS 2017) [April 26-29, 2017; Porto, Portugal]. null (Lecture Notes in Business Information Processing) pg. 135-144.
Data Quality Problems in TPC-DI Based Data Integration Processes
In: Enterprise Information Systems: Revised Selected Papers of the 19th International Conference (ICEIS 2017) [April 26-29, 2017; Porto, Portugal]. null (Lecture Notes in Business Information Processing) pg. 57-73.
Evaluation in Multimedia Recommender Systems: A Practical Guide
pg. 294-297.
Validation and Extension of the Smart City Ontology
pg. 406-413.
P2P Web Browser Middleware to Enhance Service Oriented Computing — Analysis and Evaluation
pg. 58-65.
DOI: 10.1109/SOCA.2017.16
Research Challenges in Multimedia Recommender Systems
pg. 344-347.
DOI: 10.1109/ICSC.2017.31
Predicting Data Quality Success - The Bullwhip Effect in Data Quality
In: Perspectives in Business Informatics Research. Proceedings of the 16th International Conference (BIR 2017) [August 28-30, 2017; Copenhagen, Denmark, ] (Lecture Notes in Business Information Processing) pg. 157-165.
Cham
IT-Enabled Digital Service Design Principles - Lessons Learned from Digital Cities
In: Information Systems: Proceedings of the 14th European, Mediterranean, and Middle Eastern Conference (EMCIS 2017) [September 7-8, 2017; Coimbra, Portugal]. null (Lecture Notes in Business Information Processing) pg. 186-196.
Cham, Switzerland
Item Contents Good, User Tags Better: Empirical Evaluation of a Food Recommender System
pg. 373-374.
A Survey of Multimedia Recommender Systems: Challenges and Opportunities
In: International Journal of Semantic Computing vol. 11 pg. 411-428.
DOI: 10.1142/S1793351X17500039
Assessing the Quality of Spatio-Textual Datasets in the Absence of Ground Truth
In: New Trends in Databases and Information Systems. Proceedings of ADBIS 2017 - Short Papers and Workshops, AMSD, BigNovelTI, DAS, SW4CH, DC (Nicosia, Cyprus; September 24-27, 2017) (Communications in Computer and Information Science) pg. 12-20.
Cham
Multi-Criteria Decision Analysis Methods in the Mobile Cloud Offloading Paradigm
In: Journal of Sensor and Actuator Networks (JSAN) vol. 6 pg. 25.
DOI: 10.3390/jsan6040025
Big Data Quality - Towards an Explanation Model
pg. 16-23.
Developing a Data Quality Research Taxonomy - an organizational perspective
pg. 176-186.
Using Tags and Latent Factors in a Food Recommender System
pg. 105-112.
Impact of Information Quality on Supply Chain Decisions
In: Journal of Computer Information Systems vol. 53 pg. 59-67.
DOI: 10.1080/08874417.2013.11645651
Interaction Design in a Mobile Food Recommender System
In: Proceedings of the Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS 2015), co-located with ACM Conference on Recommender Systems (RecSys 2015). null (CEUR Workshop Proceedings) pg. 49-52.
Health-aware Food Recommender System
pg. 333-334.
Interactive Food Recommendation for Groups
In: Poster Proceedings of the 8th ACM Conference on Recommender Systems (RecSys 2014). null (CEUR Workshop Proceedings)
A Design Science Oriented Framework for Experimental Research in Information Quality
In: Service Science and Knowledge Innovation: Proceedings of the 15th IFIP WG 8.1 International Conference on Informatics and Semiotics in Organisations (ICISO 2014) [May 23-24, 2014; Shanghai, China]. null (IFIP Advances in Information and Communication Technology) pg. 145-154.
How should I explain? A comparison of different explanation types for recommender systems
In: International Journal of Human-Computer Studies vol. 72 pg. 367-382.
DOI: 10.1016/j.ijhcs.2013.12.007
Context Dependent Preference Acquisition with Personality-Based Active Learning in Mobile Recommender Systems
In: Learning and collaboration technologies. Learning and Collaboration Technologies. Technology-Rich Environments for Learning and Collaboration: First International Conference (LCT 2014), held as part of HCI International 2014, Heraklion, Crete, Greece, June 22-27, 2014, Proceedings, Part II (Lecture Notes in Computer Science) pg. 105-116.
Cham [usw.]
Cost and Value Management for Data Quality
pg. 75-92.
Berlin, Heidelberg
STS: Design of Weather-Aware Mobile Recommender Systems in Tourism
In: Proceedings of the First International Workshop on Intelligent User Interfaces: Artificial Intelligence meets Human Computer Interaction (AI*HCI 2013), A workshop of the XIII International Conference of the Italian Association for Artificial Intelligence (AI*IA 2013). null (CEUR Workshop Proceedings)
Understanding the Impact of E-Commerce Software on the Adoption of Structured Data on the Web
In: Proceedings of Business Information Systems: 16th International Conference (BIS 2013) [June 19-21, 2013; Poznan, Poland]. null (Lecture Notes in Business Information Processing) pg. 100-112.
Berlin
IS/IT Resources and Business Value: Operationalization of an Information Oriented Framework
In: Enterprise Information Systems: Revised Selected Papers of the 13th International Conference (ICEIS 2011) [Beijing, China; June 8-11, 2011]. null (Lecture Notes in Business Information Processing) pg. 420-434.
Berlin
Recommender Systems in Computer Science and Information Systems - A Landscape of Research
In: E-Commerce and Web Technologies. Proceedings of the 13th International Conference EC-Web 2012 (September 4-5, 2012; Vienna, Austria) (Lecture Notes in Business Information Processing) pg. 76-87.
Berlin
Effects of the Placement of Diverse Items in Recommendation Lists
pg. 201-208.
Alignment of Ontology Design Patterns: Class As Property Value, Value Partition and Normalisation
In: On the Move to Meaningful Internet Systems: OTM 2012, Confederated International Conferences: CoopIS, DOA-SVI, and ODBASE 2012 (Rome, Italy; September 10-14, 2012). Proceedings, Part II.. null (Lecture Notes in Computer Science) pg. 682-699.
Bringing Diversity to Recommendation Lists - An Analysis of the Placement of Diverse Items
pg. 293-305.
Explaining Online Recommendations Using Personalized Tag Clouds
In: icom vol. 10 pg. 3-10.
Information quality assessment: validating measurement dimensions and processes
pg. 75.
Understanding Recommendations by Reading the Clouds
In: E-Commerce and Web Technologies: 12th International Conference (EC-Web 2011) (Toulouse, France; Aug 30 - Sep 1, 2011]. null (Lecture Notes in Business Information Processing) pg. 196-208.
Berlin Heidelberg
Placing High-Diversity Items in Top-N Recommendation Lists
In: Proceedings of the 9th Workshop on Intelligent Techniques for Web Personalization & Recommender Systems (ITWP@IJCAI 2011). null (CEUR Workshop Proceedings)
An Information Oriented Framework for Relating IS/IT Resources and Business Value
pg. 358-367.
Dr. Mouzhi Ge ist Professor für Data Analytics an der Technische Hochschule Deggendorf. Zuvor war er Associate Professor (Tenured) an der Masaryk Universität in Tschechischen, wo er seine Habilitation erhielt. Nach seiner Promotion an der Dublin City University in Irland hat er anschließend in Großbritannien, den USA und Italien Forschung und Praxis im Bereich Data Engineering und Intelligente Systeme betrieben. Seine Forschung konzentriert sich hauptsächlich auf Big Data Analytics, intelligente Gesundheitssysteme, Internet of Things sowie gesundheitsbewusste Empfehlungssysteme. In solchen Forschungsbereichen hat er mehr als 100 Publikationen im internationalen Umfeld veröffentlicht. Seine Forschungsergebnisse wurden in verschiedenen Fachzeitschriften veröffentlicht, darunter im Future Generation Computer Systems, International Journal of Human-Computer Studies, International Journal of Cooperative Information Systems, IEEE Access, Wireless Personal Communications, International Journal of Semantic Computing, Internet of Things Journal, Journal of Sensor and Actuator Networks, Transactions on Emerging Telecommunications Technologies, Computing Journal, Wireless Networks, Journal of Computer Information Systems, IEEE Transactions on Technology and Society usw.
Akademische Aktivitäten