Spedizione gratuita per ordini superiori a 69,99 euro.

Controllare lo stato dell'ordine

Entra a far parte di una comunità di amanti dei libri di tutto il mondo e ottieni numerosi vantaggi. Crea un account gratuito

Spedizione gratuita con Packeta per un prezzo superiore a 69.99 €

Bartolini 4.49 € Punto Poste 5.49 € Punto Poste 5.49 € Punto Bartolini 3.49 € DHL 6.99 € GLS 7.99 €

Contatto

Come acquistare

Aiuto

Il mio account

▸ Vuoto :-(

Spedizione gratuita per ordini superiori a 69,99 euro.

Incremental Process Discovery

Name: Incremental Process Discovery
Brand: Springer, Berlin
SKU: 46822685
Price: 80.59 EUR
Availability: InStock
Author: Daniel Schuster
ISBN: 9783031805646

Daniel Schuster

Lingua

Inglese

Libro In brossura

Codice Libristo: 46822685

Casa editrice Springer, Berlin, aprile 2025

This book constitutes the revised version of the award-winning PhD dissertation written by the autho... Descrizione completa

Codice Libristo: 46822685

197 b

80.59 €

Magazzino esterno Inviamo tra 5-8 giorni

30 giorni per il reso

I clienti hanno acquistato anche

El Efecto Mozart Para Ninos = The Mozart Effect for Children DON CAMPBELL

In brossura

7.89 €

Die Macht Ihres Unterbewusstseins Joseph Murphy

Rigido

21.79 €

L'Armurier de Quebec, Ou Les Derniers Partisans Francais Canadiens DARVILLE-W

In brossura

18.09 €

Kolekcja nietypowych zdarzeń Hanks Tom

In brossura

12.09 €

John Sinclair - Hemators tödliche Welt, 1 Audio-CD Jason Dark

CD audio

8.79 €

Inteligencia Musical enquanto instrumento mediador da aprendizagem Andreia Ferro Marques

In brossura

37.29 €

Es Yakin ve Zit Anlamli - Kelimeler Sözlügü

In brossura

16.79 €

Contes des sages qui guérissent Marie Faucher

Rigido

25.89 €

Duden - Das Aussprachewörterbuch Stefan Kleiner

Rigido

32.49 €

This book constitutes the revised version of the award-winning PhD dissertation written by the author at RWTH Aachen, Germany.

It presents a framework for incremental process discovery that allows users to learn and refine process models from event data iteratively. Next to process discovery and event data handling, it also contributes to conformance checking, a further fundamental process mining task. Eventually, it presents Cortado, an open-source process mining software tool that implements the algorithms and techniques proposed in an integrated and comprehensive fashion. This part also includes a case study applying Cortado and, therefore, the various contributions of this thesis in a real-life scenario.

In 2024, this PhD dissertation won the "Best Process Mining PhD Dissertation Award" by the IEEE Task Force for Process Mining, granted to outstanding PhD theses in this field.