Copertina

Extending predictive process monitoring for collaborative processes

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Calegari, Daniel, Delgado, Andrea
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Databases Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

A Systematic Review on Process Mining for Curricular Analysis
di: Calegari, Daniel, et al.
Pubblicazione: (2024)

PRESISTANT: Learning based assistant for data pre-processing
di: Bilalli, Besim, et al.
Pubblicazione: (2018)

meds_reader: A fast and efficient EHR processing library
di: Steinberg, Ethan, et al.
Pubblicazione: (2024)

TimeBlocks: Foundational and Continual Time-Series Blockbase -- Extended Version
di: Campos, David, et al.
Pubblicazione: (2026)

QCore: Data-Efficient, On-Device Continual Calibration for Quantized Models -- Extended Version
di: Campos, David, et al.
Pubblicazione: (2024)

Improving DBMS Scheduling Decisions with Fine-grained Performance Prediction on Concurrent Queries -- Extended
di: Wu, Ziniu, et al.
Pubblicazione: (2025)

Automated data processing and feature engineering for deep learning and big data applications: a survey
di: Mumuni, Alhassan, et al.
Pubblicazione: (2024)

MH-GIN: Multi-scale Heterogeneous Graph-based Imputation Network for AIS Data (Extended Version)
di: Liu, Hengyu, et al.
Pubblicazione: (2025)

An Encode-then-Decompose Approach to Unsupervised Time Series Anomaly Detection on Contaminated Training Data--Extended Version
di: Zhang, Buang, et al.
Pubblicazione: (2025)

Automatic Unsupervised Ensemble Outlier Model Selection--Extended Version
di: Phan, Hong-Phuc, et al.
Pubblicazione: (2026)

Tackling prediction tasks in relational databases with LLMs
di: Wydmuch, Marek, et al.
Pubblicazione: (2024)

A Self-Explainable Heterogeneous GNN for Relational Deep Learning
di: Ferrini, Francesco, et al.
Pubblicazione: (2024)

Know Your Streams: On the Conceptualization, Characterization, and Generation of Intentional Event Streams
di: Maldonado, Andrea, et al.
Pubblicazione: (2026)

Bullion: A Column Store for Machine Learning
di: Liao, Gang, et al.
Pubblicazione: (2024)

Graph-based Active Learning for Entity Cluster Repair
di: Christen, Victor, et al.
Pubblicazione: (2024)

Accurate and Scalable Matrix Mechanisms via Divide and Conquer
di: He, Guanlin, et al.
Pubblicazione: (2026)

Forecasting Electric Vehicle Charging Station Occupancy: Smarter Mobility Data Challenge
di: Amara-Ouali, Yvenn, et al.
Pubblicazione: (2023)

Design of a Service-Oriented Architecture for Federated Systems
di: Daniel Calegari
Pubblicazione: (2005)

Can Uncertainty Quantification Improve Learned Index Benefit Estimation?
di: Yu, Tao, et al.
Pubblicazione: (2024)

Learning-based Sketches for Frequency Estimation in Data Streams without Ground Truth
di: Yuan, Xinyu, et al.
Pubblicazione: (2024)

GEqO: ML-Accelerated Semantic Equivalence Detection
di: Haynes, Brandon, et al.
Pubblicazione: (2024)

Qrlew: Rewriting SQL into Differentially Private SQL
di: Grislain, Nicolas, et al.
Pubblicazione: (2024)

A Practical Theory of Generalization in Selectivity Learning
di: Wu, Peizhi, et al.
Pubblicazione: (2024)

FeatAug: Automatic Feature Augmentation From One-to-Many Relationship Tables
di: Qi, Danrui, et al.
Pubblicazione: (2024)

Combining the Strengths of Dutch Survey and Register Data in a Data Challenge to Predict Fertility (PreFer)
di: Sivak, Elizaveta, et al.
Pubblicazione: (2024)

Efficient Discovery of Significant Patterns with Few-Shot Resampling
di: Pellegrina, Leonardo, et al.
Pubblicazione: (2024)

Open-Source Drift Detection Tools in Action: Insights from Two Use Cases
di: Müller, Rieke, et al.
Pubblicazione: (2024)

Predictive Query-based Pipeline for Graph Data
di: Neto, Plácido A Souza
Pubblicazione: (2024)

PyTorch Frame: A Modular Framework for Multi-Modal Tabular Learning
di: Hu, Weihua, et al.
Pubblicazione: (2024)

Hierarchical Conditional Tabular GAN for Multi-Tabular Synthetic Data Generation
di: Ågren, Wilhelm, et al.
Pubblicazione: (2024)

A Unified Replay-based Continuous Learning Framework for Spatio-Temporal Prediction on Streaming Data
di: Miao, Hao, et al.
Pubblicazione: (2024)

4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on Relational DBs
di: Wang, Minjie, et al.
Pubblicazione: (2024)

TimeCSL: Unsupervised Contrastive Learning of General Shapelets for Explorable Time Series Analysis
di: Liang, Zhiyu, et al.
Pubblicazione: (2024)

Optimizing LLM Queries in Relational Data Analytics Workloads
di: Liu, Shu, et al.
Pubblicazione: (2024)

Apriori_Goal algorithm for constructing association rules for a database with a given classification
di: Billig, Vladimir
Pubblicazione: (2024)

Certain and Approximately Certain Models for Statistical Learning
di: Zhen, Cheng, et al.
Pubblicazione: (2024)

Threshold-Independent Fair Matching through Score Calibration
di: Moslemi, Mohammad Hossein, et al.
Pubblicazione: (2024)

Cross-domain-aware Worker Selection with Training for Crowdsourced Annotation
di: Sun, Yushi, et al.
Pubblicazione: (2024)

DEREC-SIMPRO: unlock Language Model benefits to advance Synthesis in Data Clean Room
di: Kwok, Tung Sum Thomas, et al.
Pubblicazione: (2024)

Towards Optimizing SQL Generation via LLM Routing
di: Malekpour, Mohammadhossein, et al.
Pubblicazione: (2024)