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Obtaining Thresholds for the Effectiveness of Business Process Mining
2011
2011 International Symposium on Empirical Software Engineering and Measurement
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Since the effectiveness assessment of business process mining is a difficult and error-prone activity, the main hypothesis of this work studies the possibility of obtaining thresholds to determine when ...
The thresholds allowed us to ascertain with more confidence whether MARBLE can effectively mine business processes from existing information systems. ...
Some business process mining proposals have been empirically validated in terms of their effectiveness, i.e., the degree of quality of the obtained business processes. ...
doi:10.1109/esem.2011.64
dblp:conf/esem/Perez-CastilloSPGG11
fatcat:hk2zrdphi5fxzm3qxeewm5ie7m
A Self-Adaptive Process Mining Algorithm Based on Information Entropy to Deal with Uncertain Data
2019
IEEE Access
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Process mining is a technology to gain knowledge of the business process by using the event logs and achieve a model of the process, which contributes to the detection and improvement of the business process ...
However, most existing process mining algorithms have drawbacks associated with managing uncertain data, and the method of using the frequency threshold alone needs to be enhanced. ...
Since the heuristic algorithm of process mining does not give a suitable threshold for removing uncertain data. ...
doi:10.1109/access.2019.2939565
fatcat:fqjqojlas5b35izdo43sq6oz6u
Conformance Analysis of Student Activities to Evaluate Implementation of Outcome-Based Education in Early of Pandemic using Process Mining
2022
SHS Web of Conferences
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To get a pattern for each learning achievement, an analysis of learning patterns, Bloom's taxonomy level, and CLO pass scores was carried out using process mining. ...
The mining process is carried out using Disco and PROM 5.2. The modeling process uses a heuristic miner algorithm because of its ability to express the main behavior recorded in the event log well. ...
could strengthen the effectiveness of the extracted process model. ...
doi:10.1051/shsconf/202213903018
fatcat:gn3p5rmnzrakteznpfehiwiway
OPINION PATTERN MINING BASED ON PROBABILISTIC PRINCIPLE COMPONENT ANALYSIS REPORT
2014
International Journal of Research in Engineering and Technology
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This mechanism has reduced the dimensionality of the segmentation process using the covariance matrix approach. The experiment uses the opinion rank review dataset information for further process. ...
Instead of that to guide different customers with a variety of product feedback using pattern mining approaches. ...
INTRODUCTION Opinion mining is a process for tracking the mood of the public about a certain product. ...
doi:10.15623/ijret.2014.0311094
fatcat:4p5xgzaplzftzj2tydujixa3gm
A Cross-Organizational Process Mining Framework for Obtaining Insights from Software Products: Accurate Comparison Challenges
2016
2016 IEEE 18th Conference on Business Informatics (CBI)
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Each of these enterprises use the same product for similar goals, albeit with different processes and configurations. ...
By using this catalog, the framework can monitor the (positive) effects of changes on processes. An enterprise operating in a similar context might also benefit from the same changes. ...
Acknowledgment This research was supported by the NWO AMUSE project (628.006.001): a collaboration between Vrije Universiteit Amsterdam, Utrecht University, and AFAS Software in the Netherlands. ...
doi:10.1109/cbi.2016.25
dblp:conf/wecwis/AksuSR16
fatcat:c7fihygszbbvxc4c6ngtdxshoy
Mining version histories for change impact analysis in business process model repositories
2015
Computers in industry (Print)
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One of the critical issues that an organization faces is change impact analysis: estimating the potential effects of changing a business process to other processes in the organization's business process ...
An empirical validation on a real business process model repository has showed the effectiveness of our approach in predicting impact of a change. ...
the set of effect scenarios after the AND-merge to be the union of the set of effect scenarios obtained from effect accumulation over each such sequence. ...
doi:10.1016/j.compind.2014.10.005
fatcat:2ult3zhzmzbmbkeqbiy2er5vzq
Evaluating the Effectiveness of Internal Corporate Controls in Coal Mines Illustrated By the Example of JSC "SUEK-Kuzbass"
2017
E3S Web of Conferences
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the effectiveness of internal corporate controls. ...
Thus, the internal control means the process carried out by the Board of Directors and other staff of the organisation aimed at providing reasonable assurance that the objectives of the organisation such ...
criteria by the level of risk impact, its probability and occurrence rate; development of risk maps for business processes and types of evaluation criteria; formation of risks matrix of business processes ...
doi:10.1051/e3sconf/20171504020
fatcat:jkcu5o52drc6zbvuwlylivmnmm
An efficient process mining model for Petri Nets in process discovery
2014
IOSR Journal of Computer Engineering
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Process mining is a process management system used to analyze business processes based on event logs. The knowledge is extracted from event logs by using knowledge retrieval techniques. ...
The process mining algorithms are accomplished of inevitably discover models to give details of all the events registered in some log traces provided as input. ...
New techniques are developed to perform process mining i.e. mining of process models. It is the traditional analysis of business processes based on the opinion of process expert [4] . ...
doi:10.9790/0661-16446568
fatcat:rp3y2sdsgjf63m2amekvnrfbei
The Case for a Technology Management Institute
1998
Journal of Management in Engineering
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The experimental results demonstrate the effectiveness of the proposed approach in generating high utility association rules that can be lucratively applied for business development. ...
Of late, data mining researchers have improved upon the quality of association rule mining for business development by incorporating the influential factors like value (utility), quantity of items sold ...
By changing these thresholds, different results are obtained and the results are analyzed for fixing the accurate threshold. ...
doi:10.1061/(asce)0742-597x(1998)14:1(26)
fatcat:ozhmjcttzfdmtmyiv7cwkkvsly
Sequential Pattern Mining Algorithm Based on Text Data: Taking the Fault Text Records as an Example
2018
Sustainability
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Then, on the basis of fault classification, this paper proposed the SPM algorithm with an event window, which is a time soft constraint for obtaining a certain number of sequential patterns according to ...
Sequential pattern mining (SPM) is an effective and important method for analyzing time series. This paper proposed a SPM algorithm to mine fault sequential patterns in text data. ...
The Effect of Threshold Levels on the Mining Results We explored the influence of different thresholds levels on the robustness of the algorithm. ...
doi:10.3390/su10114330
fatcat:g2duyr3lv5ekjloguxwvvgpcze
Effect of Time and Voltage on Pollutant Remover in Gold Treatment Wastewater With Electrocoagulation Batch Reactor
2021
Elkawnie: Journal of Islamic Science and Technology
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The purpose of this study was to determine the efficiency value and optimal conditions by reducing the TSS, Cu, and Hg content in wastewater based on the effect of time (10 minutes) and voltage (4.5 volts ...
This calculation of the efficiency and analysis showed that the optimal conditions occurred at a voltage of 6 volts from the three parameters, there are TSS = 97.49%, Cu = 95.71%, and Hg = 98.95%. ...
Hopefully this research can be useful both for the academic community, practitioner, government, or the local community. ...
doi:10.22373/ekw.v7i1.8226
fatcat:3dpknq2tjbc6dmlx3fpkhffy4y
A web usage mining framework for business intelligence
2011
2011 IEEE 3rd International Conference on Communication Software and Networks
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We propose a new framework based on web mining technology. Web mining attempts to determine useful knowledge from secondary data obtained from the interactions of the users with the web. ...
In this paper, we introduce a web mining solution to business intelligence to discover hidden patterns and business strategies from their customer and web data. ...
Web usage mining attempts to discover useful knowledge from the secondary data obtained from the interactions of the users with the web. ...
doi:10.1109/iccsn.2011.6014995
fatcat:dblff7j3a5fc3lcjzea5togi2q
Predicting Frequently Purchased Items in E-Commerce Sites
2017
International Journal of IT Business Strategy Management
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During this paper a replacement methodology has been planned for frequent pattern mining that advantages in higher business. ...
Mining frequent patterns is a crucial task in data mining. Most of the existing frequent pattern mining methods find the complete set of frequent patterns from a given dataset. ...
A regular pattern is the one which is derived from database based on user given regularity threshold. In mining process, regularity of the item plays a major role. ...
doi:10.21742/ijibsm.2017.3.1.03
fatcat:cgssxwi75ben5n56x7x2dqk7o4
Construction of Rural Financial Organization Spatial Structure and Service Management Model Based on Deep Convolutional Neural Network
2021
Computational Intelligence and Neuroscience
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It was therefore important to obtain effective instruments for combating poverty in rural areas from all walks of society. ...
Next, we present the basic concepts of data mining, describe the common methods and key techniques of data mining, analyze and compare the properties of the individual data, and show how the associated ...
and management of the whole process of credit and financial management of rural credit cooperatives, the realistic and effective customer management of lending business, data mining management, and financial ...
doi:10.1155/2021/7974175
fatcat:fxkbqxef2vd3tbgpkh2lo6ya5m
Application of Data Mining with Association Rules to Review Relationship between Insured, Products Selection and Customer Behavior
2019
Universal Journal of Electrical and Electronic Engineering
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The world of insurance business that is full of competition makes the perpetrators must always think about breakthrough strategies that can guarantee the continuity of their insurance business. ...
Apriori and FP-Growth are the most famous algorithms for finding high frequency patterns, these algorithms are part of the Rule Association used in this study. ...
Data Mining Process The sequence of processes for data mining can be seen as follows: 1. ...
doi:10.13189/ujeee.2019.061405
fatcat:ugwitzfkijew7klzqmzlj24gni
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