Mirko Cesarini
Titel
Zitiert von
Zitiert von
Jahr
Carrying on the e-learning process with a workflow management engine
M Cesarini, M Monga, R Tedesco
Proceedings of the 2004 ACM symposium on Applied computing, 940-945, 2004
712004
A model-based evaluation of data quality activities in KDD
M Mezzanzanica, R Boselli, M Cesarini, F Mercorio
Information Processing & Management 51 (2), 144-166, 2015
372015
Challenge: Processing web texts for classifying job offers
F Amato, R Boselli, M Cesarini, F Mercorio, M Mezzanzanica, V Moscato, ...
Proceedings of the 2015 IEEE 9th International Conference on Semantic …, 2015
312015
WoLMIS: a labor market intelligence system for classifying web job vacancies
R Boselli, M Cesarini, S Marrara, F Mercorio, M Mezzanzanica, G Pasi, ...
Journal of intelligent information systems 51 (3), 477-502, 2018
262018
Classifying online job advertisements through machine learning
R Boselli, M Cesarini, F Mercorio, M Mezzanzanica
Future Generation Computer Systems 86, 319-328, 2018
252018
Planning meets data cleansing
R Boselli, M Cesarini, F Mercorio, M Mezzanzanica
Proceedings of the Twenty-Fourth International Conferenc on International …, 2014
252014
A model-based approach for developing data cleansing solutions
M Mezzanzanica, R Boselli, M Cesarini, F Mercorio
Journal of Data and Information Quality (JDIQ) 5 (4), 1-28, 2015
212015
Customer knowledge and service development, the web 2.0 role in co-production
R Boselli, M Cesarini, M Mezzanzanica
Proceedings of World Academy of Science, Engineering and Technology 30, 600-606, 2008
202008
Inconsistency knowledge discovery for longitudinal data management: A model-based approach
R Boselli, M Cesarini, F Mercorio, M Mezzanzanica
International Workshop on Human-Computer Interaction and Knowledge Discovery …, 2013
182013
Data quality sensitivity analysis on aggregate indicators
M Mezzanzanica, R Boselli, M Cesarini, F Mercorio
International Conference on Data Technologies and Applications (DATA) 25/27 …, 2012
182012
Data quality through model checking techniques
M Mezzanzanica, R Boselli, M Cesarini, F Mercorio
International Symposium on Intelligent Data Analysis, 270-281, 2011
182011
Automatic synthesis of data cleansing activities
M Mezzanzanica, R Boselli, M Cesarini, F Mercorio
The International Conference on Data Management Technologies and …, 2013
162013
A policy-based cleansing and integration framework for labour and healthcare data
R Boselli, M Cesarini, F Mercorio, M Mezzanzanica
Interactive Knowledge Discovery and Data Mining in Biomedical Informatics …, 2014
152014
Using machine learning for labour market intelligence
R Boselli, M Cesarini, F Mercorio, M Mezzanzanica
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2017
142017
Analysis-sensitive conversion of administrative data into statistical information systems
M Fugini, MC Mario, M Mezzanzanica
Journal of Cases on Information Technology (JCIT) 9 (4), 57-81, 2007
142007
Skills in demand for ICT and statistical occupations: Evidence from web‐based job vacancies
PG Lovaglio, M Cesarini, F Mercorio, M Mezzanzanica
Statistical Analysis and Data Mining: The ASA Data Science Journal 11 (2), 78-91, 2018
132018
Public service intelligence: evaluating how the public sector can exploit decision support systems
R Boselli, M Cesarini, M Mezzanzanica
XXI International RESER Conference “Productivity of Services NextGen–Beyond …, 2011
132011
Applying the AHP to smart mobility services: A case study
R Boselli, M Cesarini, F Mercorio, M Mezzanzanica
International Conference on Data Management Technologies and Applications …, 2015
122015
Why is True eGovernment still difficult to be achieved?
F Mariagrazia, M Piercarlo, N Krysnaia, B Roberto, C Mirko, M Mario
E-Government Ict Professionalism and Competences Service Science, 11-20, 2008
112008
GraphDBLP: a system for analysing networks of computer scientists through graph databases
M Mezzanzanica, F Mercorio, M Cesarini, V Moscato, A Picariello
Multimedia Tools and Applications 77 (14), 18657-18688, 2018
102018
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–20