| Nome |
# |
|
A toward framework for generic uncertainty management, file dfa8b98e-feee-748b-e053-3a05fe0a3a96
|
8.097
|
|
Big data analytics as-a-service: Issues and challenges, file dfa8b997-8994-748b-e053-3a05fe0a3a96
|
2.688
|
|
Consistent process mining over big data triple stores, file dfa8b990-dba8-748b-e053-3a05fe0a3a96
|
1.056
|
|
Model-based Big Data Analytics-as-a-Service : Take Big Data to the Next Level, file dfa8b99a-de92-748b-e053-3a05fe0a3a96
|
758
|
|
Emergent semantics in distributed knowledge management, file dfa8b98f-9651-748b-e053-3a05fe0a3a96
|
744
|
|
Bottom-up extraction and trust-based refinement of ontology metadata, file dfa8b98f-9650-748b-e053-3a05fe0a3a96
|
549
|
|
Evaluation Goals for Online Process Mining: a Concept Drift Perspective, file dfa8b9a2-e9ed-748b-e053-3a05fe0a3a96
|
537
|
|
CR2S : competency roadmap to strategy, file dfa8b98f-9670-748b-e053-3a05fe0a3a96
|
349
|
|
Rules-based process mining to discover PLM system processes, file dfa8b9a9-25ff-748b-e053-3a05fe0a3a96
|
347
|
|
Testing social network metrics for measuring electoral success in the italian municipal campaign of 2011, file dfa8b990-fa03-748b-e053-3a05fe0a3a96
|
301
|
|
ODDI : a framework for semi-automatic data integration, file dfa8b98e-f740-748b-e053-3a05fe0a3a96
|
295
|
|
Monitoring business processes in the networked
enterprise, file dfa8b990-67e7-748b-e053-3a05fe0a3a96
|
239
|
|
Using ICT for Co-Creation of Inclusive Public Places : C3Places Project, file dfa8b9a6-71a1-748b-e053-3a05fe0a3a96
|
206
|
|
Quantify resilience enhancement of UTS through exploiting connected community and internet of everything emerging technologies, file dfa8b999-f5eb-748b-e053-3a05fe0a3a96
|
193
|
|
Toward a new generation of log pre-processing methods for process mining, file dfa8b999-83f1-748b-e053-3a05fe0a3a96
|
188
|
|
null, file dfa8b9a5-fba9-748b-e053-3a05fe0a3a96
|
171
|
|
Applying recommender systems in collaboration environments, file dfa8b992-e2bb-748b-e053-3a05fe0a3a96
|
170
|
|
Dynamic Access Control to Semantics-Aware Streamed Process Logs, file dfa8b99f-56eb-748b-e053-3a05fe0a3a96
|
163
|
|
Archivi digitali e valutazione della produzione scientifica, file dfa8b98f-5b41-748b-e053-3a05fe0a3a96
|
162
|
|
Toward sensor-based context aware systems, file dfa8b990-5be9-748b-e053-3a05fe0a3a96
|
149
|
|
A design methodology for matching smart health requirements, file dfa8b9a3-ed57-748b-e053-3a05fe0a3a96
|
138
|
|
Scouting Big Data Campaigns using TOREADOR Labs, file dfa8b997-f367-748b-e053-3a05fe0a3a96
|
123
|
|
IoT Platform for Ageing Society: the SMART BEAR Project, file dfa8b9a9-f963-748b-e053-3a05fe0a3a96
|
123
|
|
Decision-making support for input data in business processes according to former instances, file dfa8b9a5-84b8-748b-e053-3a05fe0a3a96
|
113
|
|
Knowledge-Based Legal Document Retrieval: A Case Study on Italian Civil Court Decisions, file 53d0cfab-f090-4f35-ad33-8b3b89151760
|
111
|
|
Trustworthiness-related uncertainty of semantic web-style metadata : a possibilistic approach, file dfa8b98e-27aa-748b-e053-3a05fe0a3a96
|
110
|
|
Comparing Concept Drift Detection with Process Mining Software, file dfa8b9a3-7f50-748b-e053-3a05fe0a3a96
|
97
|
|
Which role for an ontology of uncertainty?, file dfa8b98e-f85d-748b-e053-3a05fe0a3a96
|
94
|
|
Knowledge Driven Behavioural Analysis in Process Intelligence, file dfa8b992-ae16-748b-e053-3a05fe0a3a96
|
88
|
|
Leveraging Anomaly Detection in Business Process with Data Stream Mining, file dfa8b9a3-6d00-748b-e053-3a05fe0a3a96
|
82
|
|
Toward semantics-aware representation of digital business processes, file dfa8b98e-6d34-748b-e053-3a05fe0a3a96
|
78
|
|
Information dissemination in unstructured networks by self-repulsive random walks, file dfa8b98e-d35d-748b-e053-3a05fe0a3a96
|
77
|
|
De-Materializing Local Public Administration Processes, file dfa8b992-a378-748b-e053-3a05fe0a3a96
|
72
|
|
Comitato di programma: Dalla macchina per
scrivere alle nuove tecnologie della comunicazione., file dfa8b98f-3b46-748b-e053-3a05fe0a3a96
|
70
|
|
Toward model-based big data-as-a-service: The TOREADOR approach, file dfa8b999-d55b-748b-e053-3a05fe0a3a96
|
70
|
|
Semantic Support for Model Based Big Data Analytics-as-a-Service (MBDAaaS), file dfa8b99b-9b45-748b-e053-3a05fe0a3a96
|
70
|
|
Dynamic Access Control to Semantics-Aware Streamed Process Logs, file dfa8b99f-9661-748b-e053-3a05fe0a3a96
|
62
|
|
Design principles for competence-based recommender systems, file dfa8b990-5a87-748b-e053-3a05fe0a3a96
|
55
|
|
Real-time probing of control-flow and data-flow in event logs, file dfa8b9a9-13b9-748b-e053-3a05fe0a3a96
|
40
|
|
Older Adults' and Clinicians' Perspectives on a Smart Health Platform for the Aging Population: Design and Evaluation Study, file dfa8b9a9-c0db-748b-e053-3a05fe0a3a96
|
40
|
|
A methodology to engineering continuous monitoring of intrinsic capacity for elderly people, file 4cb995ea-6c20-426e-8f8a-9fe286d83c83
|
37
|
|
Using Process Mining to Reduce Fraud in Digital Onboarding, file be961b85-0f9b-44a3-846a-10c2552e9d2f
|
36
|
|
Comitato di programma: Made in Crema.
Idee di successo degli studenti UNIMI a Crema, file dfa8b98f-1b28-748b-e053-3a05fe0a3a96
|
36
|
|
Graph embeddings in criminal investigation: towards combining precision, generalization and transparency, file d95cfa19-9c6d-490f-8caf-54cde097b7c0
|
35
|
|
The CDESF toolkit: An introduction, file dfa8b9a9-25d9-748b-e053-3a05fe0a3a96
|
35
|
|
A methodology to engineering continuous monitoring of intrinsic capacity for elderly people, file 3c155a6f-e25c-48e2-9d79-67b1a2bacd66
|
30
|
|
Graph embeddings in criminal investigation: towards combining precision, generalization and transparency, file ba2a7c0e-ee6d-43c9-817b-9773a514a0ad
|
21
|
|
A Scikit-learn Extension Dedicated to Process Mining Purposes, file fe864d61-ae8e-485a-a2ee-be3c1f2b1727
|
20
|
|
Trace encoding in process mining: A survey and benchmarking, file 7be78e5d-133a-4190-8354-856765036310
|
13
|
|
A Comparative Study of Clustering Techniques Applied on Covid-19 Scientific Literature, file 548e768c-caf1-4cf7-a21a-e42e1c220c1d
|
10
|
|
A Framework for Trace Clustering and Concept-drift
Detection in Event Streams, file b603414b-a748-409f-88f7-2d6948c6a3bb
|
8
|
|
CoSMo: a Framework for Implementing Conditioned Process Simulation Models, file b7edca3c-77a7-4c83-975c-a90aa6c106d3
|
8
|
|
Tuning Machine Learning to Address Process Mining Requirements, file 68745757-9289-497f-8683-520cf821666f
|
6
|
|
Computer-supported collaboration environments and the emergence of collaboration aspects, file dfa8b991-04b8-748b-e053-3a05fe0a3a96
|
6
|
|
Semantic web-based profiled knowledge discovery in community of practice, file dfa8b996-afcb-748b-e053-3a05fe0a3a96
|
6
|
|
Synthetic Event Streams, file dfa8b9a0-389b-748b-e053-3a05fe0a3a96
|
5
|
|
Advances in Data Management in the Big Data Era, file dfa8b9a7-c3fd-748b-e053-3a05fe0a3a96
|
5
|
|
Examining students’ course trajectories using data mining and visualization approaches, file e143327f-bd31-4c9c-afea-b375785d20e7
|
5
|
|
A Methodology to Manage Structured and Semi-structured Data in Knowledge Oriented Graph, file 3b1469a3-5d62-4f39-9545-b5686c63bc83
|
4
|
|
Boosting the innovation process in collaborative environments, file dfa8b994-227a-748b-e053-3a05fe0a3a96
|
4
|
|
An efficient language pipeline for flexible rule-based context representation, file dfa8b996-ce64-748b-e053-3a05fe0a3a96
|
4
|
|
A Model-Driven Methodology for Big Data Analytics-as-a-Service, file dfa8b99a-aa45-748b-e053-3a05fe0a3a96
|
4
|
|
Blockchain-Based E-Vote-as-a-Service, file dfa8b99f-2ad0-748b-e053-3a05fe0a3a96
|
4
|
|
Engineering Continuous Monitoring of Intrinsic Capacity for Elderly People, file dfa8b9a7-e5f9-748b-e053-3a05fe0a3a96
|
4
|
|
2022 Ninth International Conference on Social Networks Analysis, Management and Security (SNAMS), file 6358f7a7-86b3-407d-9849-4f26b9001eb5
|
3
|
|
Data management for continuous learning in EHR systems, file 88c60a7c-e347-45ba-961e-3a7715d3a3a2
|
3
|
|
moduli: A Disaggregated Data Management Architecture for Data-Intensive Workflows, file 97111793-48a6-46de-8e7b-50b28ae6d32e
|
3
|
|
Contactless Authentication for Wearable Devices Using RFID, file cdda09e2-37fd-4934-83b4-89b98e2e20bc
|
3
|
|
Applying recommender systems in collaboration environments, file dfa8b992-ddf7-748b-e053-3a05fe0a3a96
|
3
|
|
Towards an agent-based architecture for managing uncertainty in situation awareness, file dfa8b993-e2c9-748b-e053-3a05fe0a3a96
|
3
|
|
Big Data Semantics, file dfa8b99b-5fad-748b-e053-3a05fe0a3a96
|
3
|
|
Towards Configurable Composite Data Quality Assessment, file dfa8b99f-782d-748b-e053-3a05fe0a3a96
|
3
|
|
Designing Process-Centric Blockchain-Based Architectures: A Case Study in e-voting as a Service, file dfa8b9a1-e7a8-748b-e053-3a05fe0a3a96
|
3
|
|
Smart Healthcare, IoT and Machine Learning: A Complete Survey, file dfa8b9a9-25fe-748b-e053-3a05fe0a3a96
|
3
|
|
CHAMALEON: Framework to improve Data Wrangling with Complex Data, file 41aeed69-bd37-4fd7-b7e0-27f2e283ad68
|
2
|
|
Special issue on querying the data web : novel techniques for querying structured data on the web, file dfa8b993-f451-748b-e053-3a05fe0a3a96
|
2
|
|
An Integrated Risk Management Framework: Measuring the Success of Organizational Knowledge Protection, file dfa8b994-9b43-748b-e053-3a05fe0a3a96
|
2
|
|
Translating process mining results into intelligible business information, file dfa8b995-8524-748b-e053-3a05fe0a3a96
|
2
|
|
Innovation factory: an innovative collaboration and management scenario, file dfa8b996-2f65-748b-e053-3a05fe0a3a96
|
2
|
|
Semantics-aware matching strategy (SAMS) for the ontology mediated data integration (ODDI), file dfa8b996-fee6-748b-e053-3a05fe0a3a96
|
2
|
|
Informazioni: adottare i big data per arricchire la conoscenza dei processi, file dfa8b998-4244-748b-e053-3a05fe0a3a96
|
2
|
|
Performances of OLAP Operations in Graph and Relational Databases, file dfa8b99e-4341-748b-e053-3a05fe0a3a96
|
2
|
|
Databases and Information Systems in the AI Era: Contributions from ADBIS, TPDL and EDA 2020 Workshops and Doctoral Consortium, file dfa8b9a3-661c-748b-e053-3a05fe0a3a96
|
2
|
|
Correlation and pattern detection in event networks, file dfa8b9a9-e223-748b-e053-3a05fe0a3a96
|
2
|
|
Agent-Based Vector-Label Propagation for Explaining Social Network Structures, file 01c988d7-5bdb-4605-b537-7adff48143c6
|
1
|
|
Software Services Engineering Manifesto - A Cross-Cutting Declaration, file 24826520-82bb-4306-9e53-402f305ee211
|
1
|
|
OnToContent 2009 PC co-chairs' message, file 378cdcc1-4f1e-408f-84bb-45d6d588266f
|
1
|
|
SIMPDA 2017 : Data-driven Process Discovery and Analysis, file 48c93356-3b85-4538-893d-b8b9fc325d96
|
1
|
|
Enhancing Fairness and Accuracy in Machine Learning Through Similarity Networks, file 4b6d4aa9-a49d-443c-b543-fca92d807208
|
1
|
|
Data-Driven Process Discovery and Analysis, file 5265f43f-28a4-4668-a0aa-296bd4dcfdfb
|
1
|
|
Selecting Optimal Trace Clustering Pipelines with Meta-learning, file 6c299b1f-68fe-43de-9d96-df1b74ea15fa
|
1
|
|
SIMPDA 2016 : Data-driven Process Discovery and Analysis, file 77659b1b-8910-4806-9046-e717216553a9
|
1
|
|
SIMPDA 2014 : Data-driven Process Discovery and Analysis, file 7e2df3ce-7c56-45e7-babf-bbdbce0595e3
|
1
|
|
Ontology based recommender system using social network data, file 9773841e-c312-4f43-9781-696127099a2b
|
1
|
|
Sampling Online Social Networks with Tailored Mining Strategies, file b5067260-3d1f-4282-a5d5-263e73009b4a
|
1
|
|
null, file c5073b26-5cb8-4814-9990-521159f59bc8
|
1
|
|
Augmented reality technologies, systems and applications, file dfa8b994-4996-748b-e053-3a05fe0a3a96
|
1
|
|
Security aspects of de-materialized local public administration processes, file dfa8b994-a6b4-748b-e053-3a05fe0a3a96
|
1
|
|
On the predictive power of university curricula, file dfa8b995-0a84-748b-e053-3a05fe0a3a96
|
1
|
|
Knowledge acquisition in process intelligence, file dfa8b996-ab07-748b-e053-3a05fe0a3a96
|
1
|
| Totale |
19.487 |