Process Analytics

Process Analytics
Author :
Publisher : Springer
Total Pages : 194
Release :
ISBN-10 : 9783319250373
ISBN-13 : 331925037X
Rating : 4/5 (73 Downloads)

Book Synopsis Process Analytics by : Seyed-Mehdi-Reza Beheshti

Download or read book Process Analytics written by Seyed-Mehdi-Reza Beheshti and published by Springer. This book was released on 2016-03-28 with total page 194 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book starts with an introduction to process modeling and process paradigms, then explains how to query and analyze process models, and how to analyze the process execution data. In this way, readers receive a comprehensive overview of what is needed to identify, understand and improve business processes. The book chiefly focuses on concepts, techniques and methods. It covers a large body of knowledge on process analytics – including process data querying, analysis, matching and correlating process data and models – to help practitioners and researchers understand the underlying concepts, problems, methods, tools and techniques involved in modern process analytics. Following an introduction to basic business process and process analytics concepts, it describes the state of the art in this area before examining different analytics techniques in detail. In this regard, the book covers analytics over different levels of process abstractions, from process execution data and methods for linking and correlating process execution data, to inferring process models, querying process execution data and process models, and scalable process data analytics methods. In addition, it provides a review of commercial process analytics tools and their practical applications. The book is intended for a broad readership interested in business process management and process analytics. It provides researchers with an introduction to these fields by comprehensively classifying the current state of research, by describing in-depth techniques and methods, and by highlighting future research directions. Lecturers will find a wealth of material to choose from for a variety of courses, ranging from undergraduate courses in business process management to graduate courses in business process analytics. Lastly, it offers professionals a reference guide to the state of the art in commercial tools and techniques, complemented by many real-world use case scenarios.


Process Analytics Related Books

Process Analytics
Language: en
Pages: 194
Authors: Seyed-Mehdi-Reza Beheshti
Categories: Computers
Type: BOOK - Published: 2016-03-28 - Publisher: Springer

DOWNLOAD EBOOK

This book starts with an introduction to process modeling and process paradigms, then explains how to query and analyze process models, and how to analyze the p
Analyzing Analytics
Language: en
Pages: 118
Authors: Rajesh Bordawekar
Categories: Technology & Engineering
Type: BOOK - Published: 2022-05-31 - Publisher: Springer Nature

DOWNLOAD EBOOK

This book aims to achieve the following goals: (1) to provide a high-level survey of key analytics models and algorithms without going into mathematical details
Analyzing Analytics
Language: en
Pages: 88
Authors: Edson Tandoc Jr.
Categories: Language Arts & Disciplines
Type: BOOK - Published: 2019-05-24 - Publisher: Routledge

DOWNLOAD EBOOK

Analyzing Analytics: Disrupting Journalism One Click at a Time critically examines how journalists use web analytics in their work and the implications of that
Data Science and Big Data Analytics
Language: en
Pages: 432
Authors: EMC Education Services
Categories: Computers
Type: BOOK - Published: 2014-12-19 - Publisher: John Wiley & Sons

DOWNLOAD EBOOK

Data Science and Big Data Analytics is about harnessing the power of data for new insights. The book covers the breadth of activities and methods and tools that
Complex Data Analytics with Formal Concept Analysis
Language: en
Pages: 0
Authors: Rokia Missaoui
Categories: Computers
Type: BOOK - Published: 2023-07-01 - Publisher: Springer

DOWNLOAD EBOOK

FCA is an important formalism that is associated with a variety of research areas such as lattice theory, knowledge representation, data mining, machine learnin