Process Analytics: Concepts and Techniques for Querying and by Seyed-Mehdi-Reza Beheshti, Boualem Benatallah, Visit

By Seyed-Mehdi-Reza Beheshti, Boualem Benatallah, Visit Amazon's Sherif Sakr Page, search results, Learn about Author Central, Sherif Sakr, , Daniela Grigori, Hamid Reza Motahari-Nezhad, Moshe Chai Barukh, Ahmed Gater, Seung Hwan Ryu

This publication begins with an advent to approach modeling and method paradigms, then explains how one can question and research method versions, and the way to investigate the method execution info. during this approach, readers obtain a entire evaluation of what's had to determine, comprehend and enhance company processes.

The ebook mainly makes a speciality of recommendations, strategies and techniques. It covers a wide physique of information on procedure analytics – together with method facts querying, research, matching and correlating approach facts and versions – to aid practitioners and researchers comprehend the underlying strategies, difficulties, equipment, instruments and strategies desirous about smooth method analytics. Following an advent to simple company procedure and approach analytics ideas, it describes the state-of-the-art during this sector sooner than reading diversified analytics recommendations intimately. during this regard, the booklet covers analytics over diversified degrees of technique abstractions, from approach execution facts and techniques for linking and correlating approach execution facts, to inferring strategy versions, querying procedure execution info and technique versions, and scalable technique info analytics tools. moreover, it offers a assessment of industrial approach analytics instruments and their functional applications.

The publication is meant for a wide readership attracted to enterprise approach administration and technique analytics. It offers researchers with an creation to those fields via comprehensively classifying the present country of study, via describing in-depth ideas and strategies, and through highlighting destiny learn instructions. academics will discover a wealth of fabric to select from for various classes, starting from undergraduate classes in enterprise approach administration to graduate classes in enterprise technique analytics. finally, it deals execs a reference consultant to the state-of-the-art in advertisement instruments and methods, complemented by means of many real-world use case scenarios.

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Extra info for Process Analytics: Concepts and Techniques for Querying and Analyzing Process Data

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3 Process Implementation Technologies 31 Jess6 is a production rule language for the Java platform, which implements an advanced Rete algorithm. Rules may be specified using the Jess rule language, which could be written as both a stand-alone program and via the Java API (after embedding the Jess Java library). Alternatively, rule-based logic could also be specified in XML, which is particularly useful if embedding in Web-based application. , derivation, passive queries). Interestingly, it also provides the defquery construct which has no rule body but is used to search the fact knowledge base under direct program control.

The artifact-centric approach has activities that are defined in the context of process-related artifacts, which become available based on data events on the artifact. The intention here is to consider artifacts as first-class citizens and thus an abstraction to focus the process on core informational entities that are most significant (usually from an accountability perspective). The main features of this model are distinct life cycle state management and possibly also rules that may evaluate and constrain the operations of the artifact [79, 118].

Event relationships in process logs with artifacts). 3 Process Analytics ... Process entities Grap Model Relationship Entity Types Entities Process Data Sources Databases Legacy Applications eMail Flat Files Process Artifacts ... Fig. 3 Process-related abstraction layers and process analytics: how analytics can help in understanding business processes in modern enterprises relationships over graphs are considered). In process instance layer, we apply model discovery/mining on each process instance set to get the process models.

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