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Using Domain Knowledge to Enhance Process Mining Results [chapter]

P. M. Dixit, J. C. A. M. Buijs, Wil M. P. van der Aalst, B. F. A. Hompes, J. Buurman
2017 Lecture Notes in Business Information Processing  
Take down policy If you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your claim.  ...  . • You may not further distribute the material or use it for any profit-making activity or commercial gain • You may freely distribute the URL identifying the publication in the public portal ?  ...  As a next step we compare the outcomes of models mined using domain knowledge against the models mined without domain knowledge.  ... 
doi:10.1007/978-3-319-53435-0_4 fatcat:u6u3xwg3ozebbeg4hqawqxyv5y

Semantic-Based Model Analysis Towards Enhancing Information Values of Process Mining: Case Study of Learning Process Domain [chapter]

Kingsley Okoye, Abdel-Rahman H. Tawil, Usman Naeem, Syed Islam, Elyes Lamine
2017 Advances in Intelligent Systems and Computing  
Process mining results can be enhanced by adding semantic knowledge to the derived models.  ...  The semantic analysis allows the meaning of the learning objects to be enhanced through the use of property characteristics and classification of discoverable entities, to generate inference knowledge  ...  as domain knowledge and to further enhance the existing knowledge base.  ... 
doi:10.1007/978-3-319-60618-7_61 fatcat:lnxmdmniyra23faossvf4bo5k4

Domain-Driven Data Mining

Longbing Cao, Chengqi Zhang
2006 International Journal of Data Warehousing and Mining  
As a result, very often the knowledge discovered generally is not interesting to real business needs.  ...  enhancement, and iterative refinement process.  ...  Thanks also go to Dr. Lin Li and Jiarui Ni for implementation supports.  ... 
doi:10.4018/jdwm.2006100103 fatcat:wk465g5n5zesrn2srxeoslb7py

D 3 M Methodology [chapter]

Longbing Cao, Chengqi Zhang, Philip S. Yu, Yanchang Zhao
2009 Domain Driven Data Mining  
Cao et al., Domain Driven Data Mining,  ...  On the basis of the discussions and retrospection on existing data mining methodologies and techniques in Chapter 1, this chapter presents an overall picture of domain driven data mining (D 3 M).  ...  Results post-processing (to post-analyse or post-mine the initial resulting data); P 11 . Reviewing phases from P 1 may be required; P 12 .  ... 
doi:10.1007/978-1-4419-5737-5_2 fatcat:wu74nh4umnejnm7ax3igwsmxqy

THE EVOLUTION OF KDD: TOWARDS DOMAIN-DRIVEN DATA MINING

LONGBING CAO, CHENGQI ZHANG
2007 International journal of pattern recognition and artificial intelligence  
The results show that domain-driven data mining has a potential for further enhancing the actionability of mined patterns in real-world situation.  ...  Key components of domain-driven data mining are constrained context, integrating domain intelligence, human-machine cooperation, in-depth mining, actionability enhancement, and iterative refinement process  ...  We are grateful to the support and business knowledge from related organizations, for instance, Mr Rick Schurmann from Centrelink, and Prof. Mike Aikten from CMCRC.  ... 
doi:10.1142/s0218001407005612 fatcat:6ln5hcaxefaftp44kjdywbpjy4

Enhancing Text Mining Using Ontology Based Similarity Distance Measure

Atiya Kazi, Priyanka Bandagale
2018 Zenodo  
Generally,Text mining applications disregard the side-information contained within the text document,which can enhance the overall clustering process.  ...  The clusters thus generated,can also be used as a training model to promote the solution of the classification problem.  ...  A similar approach is proposed in [5] , which uses domain based, schema based, constraint based and user preference based Ontologies for enhancing the test clustering process.  ... 
doi:10.5281/zenodo.1468201 fatcat:tsp4roe4xjfj7bz5sadtjspjq4

Hospital Management Based On Semantic Process Mining: A Systematic Review

Majid Jangi, Fateme Moghbeli, Mahya Ghaffari, Alireza Vahedinemani
2019 Frontiers in Health Informatics  
It can help researchers to compare semantic process mining with other methods for improving processes in hospitals and finally, it shows the use of semantic process mining to enhance hospitals processes  ...  Semantic Process Mining is the extension field of process mining that is based on getting knowledge of conceptual event logs (based on ontologies) for analyzing frequent and rare processes.  ...  The ontology can use to separate domain knowledge from the operational, to reuse and analyze domain knowledge to make assumptions about a domain explicit.  ... 
doi:10.30699/fhi.v8i1.171 fatcat:4plmglzbgjaxzf4jgk2ebpzsxe

Ontology in association rules

Inhaúma Ferraz, Ana Cristina Garcia
2013 SpringerPlus  
Data mining has emerged to address the problem of transforming data into useful knowledge.  ...  SemPrune is intended for pre-and post-processing phases of data mining.  ...  Acknowledgment We would like to thank CNPq for the grant support for this research.  ... 
doi:10.1186/2193-1801-2-452 pmid:24083103 pmcid:PMC3786067 fatcat:tnxav7nujrdpjixx5go2snvxpa

Knowledge Enhancement Through Ontology-Guided Text Mining [chapter]

Muhammad Abulaish, Lipika Dey
2005 Lecture Notes in Computer Science  
All extracted information related to concepts and concept descriptors are also stored in a structured knowledge base.  ...  The system employs text-mining techniques to mine information from text documents guided by an underlying ontology.  ...  A number of systems exist to help in the process of construction of domain ontologies, of which the most famous one is the Protégé 1 .  ... 
doi:10.1007/11590316_95 fatcat:tccdivgdyvf65pcwgbqlnh6qgu

Introduction to Agent Mining Interaction and Integration [chapter]

Longbing Cao
2009 Data Mining and Multi-agent Integration  
very promising to result in additional advancement in intelligent information processing and systems.  ...  They used to target individual methodologies and techniques to cope with domain-specific problems and challenges in respective areas.  ...  With respect to domain intelligence, how to involve, represent, link and confirm to components such as domain knowledge, prior knowledge, business process, and business logics in data mining systems is  ... 
doi:10.1007/978-1-4419-0522-2_1 fatcat:4d4cx7wmvzgejnegoujwhrhs4u

A Paradigm-shifting from Domain-Driven Data Mining Frameworks to Process-based Domain-Driven Data Mining-Actionable Knowledge Discovery Framework

Fakeeha Fatima, Ramzan Talib, Muhammad Kashif Hanif, Muhammad Awais
2020 IEEE Access  
INDEX TERMS Actionable knowledge, business process, data mining, data mining framework, domain-driven data mining framework, data privacy.  ...  Our Process-based Domain-Driven Data Mining-Actionable Knowledge Discovery (PD3M-AKD) framework explains its different phases to consider and include additional factors from five perspectives of the business  ...  Data mining, domain-driven data mining, and process mining technologies are being used separately in their respective world.  ... 
doi:10.1109/access.2020.3039111 fatcat:5anv6meb55drjjrl3ibsk3j644

How to Semantically Enhance a Data Mining Process? [chapter]

Laurent Brisson, Martine Collard
2009 Lecture Notes in Business Information Processing  
Then we show how the knowledge base is used for the post-processing step of model interpretation.  ...  This paper presents the KEOPS data mining methodology centered on domain knowledge integration. KEOPS is a CRISP-DM compliant methodology which integrates a knowledge base and an ontology.  ...  Integrating domain a priori knowledge during the data mining process is currently an important research issue in the data mining field.  ... 
doi:10.1007/978-3-642-00670-8_8 fatcat:7vinrnq2l5gk7f2htne27gryia

A Semantically Enriched Web Usage Based Recommendation Model

Ramesh, Chalapati Rao, Goverdhan
2011 International Journal of Computer Science & Information Technology (IJCSIT)  
However conventional Web usage based recommender systems are limited in their ability to use the domain knowledge of the Web application. The focus is only on Web usage data.  ...  Experimental results shown are promising and proved that incorporating semantic information into Web usage mining process can provide us with more interesting patterns which consequently make the recommendation  ...  This motivated us to propose the semantically enriched web usage model. The proposed work integrates domain knowledge in the form of ontology in all the phases of Web Usage Mining process.  ... 
doi:10.5121/ijcsit.2011.3517 fatcat:l7m7e3g6lbhdlpvvowd4xypbu4

An Outlook on Semantic Business Process Mining and Monitoring [chapter]

A. K. Alves de Medeiros, C. Pedrinaci, W. M. P. van der Aalst, J. Domingue, M. Song, A. Rozinat, B. Norton, L. Cabral
2007 Lecture Notes in Computer Science  
The use of semantic information can lead to dramatic enhancements in the state-of-the-art in analysis techniques.  ...  to important enhancements throughout the life-cycle of business processes.  ...  Using Process Mining to Discover/Enhance Ontologies So far we have focussed on using semantics to enhance process mining techniques.  ... 
doi:10.1007/978-3-540-76890-6_52 fatcat:mjqzfh5cnbexhbhxrdpul2lspq

Ontology: Core Process Mining and Querying Enabling Tool [chapter]

Kingsley Okoye, Syed Islam, Usman Naeem
2018 Ontology in Information Science  
The ontological schema enables for automated querying and inference of useful knowledge from the different domain processes.  ...  In view of that, this chapter introduces an ontology-based mining approach that makes use of concepts within the extracted event logs about domain processes to propose a method which allows for effective  ...  enhance process mining analysis and results from the syntactic level to a much more conceptual level.  ... 
doi:10.5772/intechopen.71981 fatcat:74wy2pqheva7fdkmdj4f47tf3u
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