The framework: an approach to support business rule based data analysis

2006 ◽  
Author(s):  
O. Vasilecas ◽  
A. Smaizys
Keyword(s):  
Data Analysis ◽  
Business Rule ◽  
Rule Based

scholarly journals Increasing Supply-Chain Visibility with Rule-Based RFID Data Analysis

2009 ◽  
Vol 13 (1) ◽  
pp. 31-38 ◽  
Author(s):  
Alexander Ilic ◽  
Thomas Andersen ◽  
Florian Michahelles
Keyword(s):  
Supply Chain ◽  
Data Analysis ◽  
Rule Based ◽  
Rfid Data

Towards a Flexible and Adaptable Modeling of Business Processes

2014 ◽  
pp. 174-183
Author(s):  
Khadhir Bekki ◽  
Hafida Belachir
Keyword(s):  
Business Process ◽  
Process Modeling ◽  
Business Processes ◽  
Business Activity ◽  
Separation Of Concerns ◽  
Business Rules ◽  
Business Rule ◽  
Rule Based ◽  
Eca Rules ◽  
Post Condition

This article proposes a flexible way in business process modeling and managing. Today, business process needs to be more flexible and adaptable. The regulations and policies in organizations, as origins of change, are often expressed in terms of business rules. The ECA (Event-condition-action) rule is a popular way to incorporate flexibility into a process design. To raise the flexibility in the business processes, the authors consider governing any business activity through ECA rules based on business rules. For adaptability, the separation of concerns supports adaptation in several ways. To cope with flexibility and adaptability, the authors propose a new multi concern rule based model. For each concern, each business rule is formalized using their CECAPENETE formalism (Concern -Event-Condition-Action-Post condition- check Execution- Number of check -Else-Trigger-else Event). Then, the rules based process is translated into a graph of rules that is analyzed in terms of relations between concerns, reliably and flexibility.

AN EXPLANATION FACILITY FRAMEWORK FOR RULE-BASED SYSTEMS

2012 ◽  
Vol 21 (04) ◽  
pp. 1250013 ◽  
Author(s):  
BOJAN TOMIĆ ◽  
BORIS HORVAT ◽  
NEMANJA JOVANOVIĆ
Keyword(s):  
Natural Language ◽  
Business Processes ◽  
Management Systems ◽  
Business Rules ◽  
Business Rule ◽  
End User ◽  
Inference Process ◽  
Rule Based ◽  
Rule Management ◽  
Rule Based Systems

Rule engines, business rule management systems and other rule-based systems used today widely utilize methods, techniques and technologies from the era of expert systems. Unfortunately, this doesn't seem to be the case when it comes to explanation facilities. Nowadays, the use of explanation facilities seems more important than ever. Business rule management systems control or constrain the behavior of business processes through business rules and an explanation of the inference process intended for the end user would be more than welcome. An explanation facility framework which was created in order to remedy this situation is presented in this paper. It is written in Java and is supposed to be a generic solution for modern rule-based systems. Besides being free and open-source, it is simple to use and can generate explanations in the form of natural language like sentences. Internationalization is also supported and explanations can be saved as textual, XML or PDF reports.

scholarly journals Recognizing Events in Spatiotemporal Soccer Data

2020 ◽  
Vol 10 (22) ◽  
pp. 8046
Author(s):  
Victor Khaustov ◽  
Maxim Mozgovoy
Keyword(s):  
Data Analysis ◽  
Simple Procedure ◽  
High Accuracy ◽  
Baseline Model ◽  
Sports Analytics ◽  
Rule Based ◽  
Player Tracking ◽  
Event Information

Spatiotemporal datasets based on player tracking are widely used in sports analytics research. Common research tasks often require the analysis of game events, such as passes, fouls, tackles, and shots on goal. However, spatiotemporal datasets usually do not include event information, which means it has to be reconstructed automatically. We propose a rule-based algorithm for identifying several basic types of events in soccer, including ball possession, successful and unsuccessful passes, and shots on goal. Our aim is to provide a simple procedure that can be used for practical soccer data analysis tasks, and also serve as a baseline model for algorithms based on more advanced approaches. The resulting algorithm is fast, easy to implement, achieves high accuracy on the datasets available to us, and can be used in similar scenarios without modification.

scholarly journals Closing the Feedback Loop in DevOps Through Autonomous Monitors in Operations

2021 ◽  
Vol 2 (6) ◽  
Author(s):  
Adha Hrusto ◽  
Per Runeson ◽  
Emelie Engström
Keyword(s):  
Machine Learning ◽  
Data Analysis ◽  
Public Transportation ◽  
Feedback Loop ◽  
Qualitative Data ◽  
Design Science ◽  
Basic Principles ◽  
Rule Based ◽  
Tight Connection ◽  
Solution Design

AbstractDevOps represent the tight connection between development and operations. To address challenges that arise on the borderline between development and operations, we conducted a study in collaboration with a Swedish company responsible for ticket management and sales in public transportation. The aim of our study was to explore and describe the existing DevOps environment, as well as to identify how the feedback from operations can be improved, specifically with respect to the alerts sent from system operations. Our study complies with the basic principles of the design science paradigm, such as understanding and improving design solutions in the specific areas of practice. Our diagnosis, based on qualitative data collected through interviews and observations, shows that alert flooding is a challenge in the feedback loop, i.e. too much signals from operations create noise in the feedback loop. Therefore, we design a solution to improve the alert management by optimizing when to raise alerts and accordingly introducing a new element in the feedback loop, a smart filter. Moreover, we implemented a prototype of the proposed solution design and showed that a tighter relation between operations and development can be achieved, using a hybrid method which combines rule-based and unsupervised machine learning for operations data analysis.

Towards a Flexible and Adaptable Modeling of Business Processes

2011 ◽  
Vol 6 (2) ◽  
pp. 57-67
Author(s):  
Khadhir Bekki ◽  
Hafida Belachir
Keyword(s):  
Business Process ◽  
Process Modeling ◽  
Process Design ◽  
Business Processes ◽  
Separation Of Concerns ◽  
Business Rules ◽  
Business Rule ◽  
Rule Based ◽  
Eca Rules ◽  
Post Condition

This article proposes a flexible way in business process modeling and managing. Today, business process needs to be more flexible and adaptable. The regulations and policies in organizations, as origins of change, are often expressed in terms of business rules. The ECA (Event-condition-action) rule is a popular way to incorporate flexibility into a process design. To raise the flexibility in the business processes, the authors consider governing any business activity through ECA rules based on business rules. For adaptability, the separation of concerns supports adaptation in several ways. To cope with flexibility and adaptability, the authors propose a new multi concern rule based model. For each concern, each business rule is formalized using their CECAPENETE formalism (Concern -Event-Condition-Action-Post condition- check Execution- Number of check -Else-Trigger-else Event). Then, the rules based process is translated into a graph of rules that is analyzed in terms of relations between concerns, reliably and flexibility.

Introducing Causality in Business Rule-Based Decisions

2017 ◽  
pp. 433-439
Author(s):  
Karim El Mernissi ◽  
Pierre Feillet ◽  
Nicolas Maudet ◽  
Wassila Ouerdane
Keyword(s):  
Business Rule ◽  
Rule Based
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