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A survey of data mining and knowledge discovery process models and methodologies

Gonzalo Mariscal, Óscar Marbán, Covadonga Fernández
2010 Knowledge engineering review (Print)  
As a result of the comparison, we propose a new data mining and knowledge discovery process named refined data mining process for developing any kind of data mining and knowledge discovery project.  ...  In this paper, we describe the most used (in industrial and academic projects) and cited (in scientific literature) data mining and knowledge discovery methodologies and process models, providing an overview  ...  Acknowledgement This work has been partially funded by the project no. TIN 2008-05924/TIN of the Ministry of Science and Innovation of Spain.  ... 
doi:10.1017/s0269888910000032 fatcat:nkaiiq4pjvf3xhsulauc7wtmya

Combination of Process Mining and Simulation Techniques for Business Process Redesign: A Methodological Approach [chapter]

Santiago Aguirre, Carlos Parra, Jorge Alvarado
2013 Lecture Notes in Business Information Processing  
In this context, the current work presents a methodological approach to the integration of process mining and simulation techniques in a process redesign project.  ...  Nonetheless, to complete the lifecycle of a process, the latter has to be redesigned, a task for which simulation techniques can be used in combination with process mining, in order to evaluate dierent  ...  Methodologies for process mining Bozcaya [11] proposed a methodology for applying process mining to business process diagnosis, based on three perspectives: control ow, performance and organizational  ... 
doi:10.1007/978-3-642-40919-6_2 fatcat:5glenmbapfevxfk4ul53tc53fu

Towards a Comprehensive Methodology for Process Mining (short paper)

Kiarash Diba
2019 Central-European Workshop on Services and their Composition  
This position paper sketches the first steps to be taken toward a standard methodology for process mining.  ...  Process mining exploits data recorded in information systems of organizations to unleash insight and knowledge into their operational processes.  ...  Therefore, this work focuses on methodological aspects of process mining rather than on specific methods, in order to provide well-defined foundations for process mining.  ... 
dblp:conf/zeus/Diba19 fatcat:cvkbvnwgc5grxkaebnrrhn4lem

Mining Industrial Engineered Data of Apparel Industry: A Proposed Methodology

Md Shamsur, Mashiour Rahman, Azm Ehtesham
2017 International Journal of Computer Applications  
This research paper has proposed a methodology for mining industrial engineered manufacturing data of apparel industries.  ...  Many industries have already adopted data mining techniques for better productivity by following clear and concise methodologies.  ...  There are other different methodologies for data mining, analytics or data science related projects.  ... 
doi:10.5120/ijca2017913262 fatcat:jnde3vpkxbafnp5wozldselvh4

Data-driven quality improvement approach to reducing waste in manufacturing

Rose Clancy, Dominic O'Sullivan, Ken Bruton
2021 The TQM Journal  
CRISP-DM were found to be the most suitable process improvement and data mining methodologies, respectively.  ...  This methodology offers a pragmatic step by step approach for industrial practitioners to digitally transform their traditional manufacturing processes to enable data-driven quality management and improved  ...  Decision matrix for quality management methodologies Table 2. Decision matrix for data mining methodologies  ... 
doi:10.1108/tqm-02-2021-0061 fatcat:tz5opfi7vvbjhfumbwodbhbxnq

Designing a Process Model for Health Analytic Projects

Supunmali Ahangama, Danny Chiang Choon Poo
2015 Pacific Asia Conference on Information Systems  
The existing process models for data mining have failed to meet user requirements and thus have been unsuccessful in diffusing among the data analysts.  ...  This study aims to propose a refined HA process model to guide novice users. The process model is developed using design science research approach followed by an ex-ante evaluation.  ...  Several authors have proposed methodologies and documentation approaches for such projects.  ... 
dblp:conf/pacis/AhangamaP15 fatcat:luuh7va235fsbi4yewhkvzer6q

A Data Mining & Knowledge Discovery Process Model [chapter]

scar Marbn, Gonzalo Mariscal, Javier Segovi
2009 Data Mining and Knowledge Discovery in Real Life Applications  
SEMMA (SAS, 2008) is the methodology that SAS proposed for developing DM products. Although it is a methodology, it is based on the technical part of the project only.  ...  The RAMSYS (RApid collaborative data Mining SYStem) methodology is described in (Moyle & Jorge, 2001 ) as a methodology for developing DM & KD projects where several geographically diverse groups work  ...  Twenty six chapters cover different special topics with proposed novel ideas. Each chapter gives an overview of the subjects and some of the chapters have cases with offered data mining solutions.  ... 
doi:10.5772/6438 fatcat:7bvdr6n4gfabpnlnb5g2ud43be


M.Lavanya .
2014 International Journal of Research in Engineering and Technology  
This methodology affords an effective way for research project selection with escalating figure of proposals and reviewers.  ...  Research Project Selection is a remarkable bustle in all Research funding and Government agencies. Selection and Assignment processes are unproblematic when number of proposal submission is less.  ...  ACKNOWLEDGEMENTS I would like to thank Dr.N.Rajkumar for giving his innovative ideas, valuable comments and suggestions which led to improvise the presentation quality of the paper and for the successful  ... 
doi:10.15623/ijret.2014.0319096 fatcat:ifudoywzf5c7tl4j47nvc7wpuy

Signpost - a Semiotics-based Process Mining Methodology

Fahame Emamjome, Robert Andrews, Arthur H. M. ter Hofstede, Hajo A. Reijers
2020 European Conference on Information Systems  
Secondly, we propose Signpost, a high-level process mining methodology, developed by applying the principles of Peircean Semiotics to existing process mining methodologies.  ...  The proposed methodology facilitates process mining research in realising its full potential in terms of (i) providing accurate insights for practitioners, and (ii) in contributing to theory building and  ...  The approach proposed in this paper caters for both aforementioned purposes of process mining projects, i.e. whether researchers are interested in providing insights to solve practitioner problems in a  ... 
dblp:conf/ecis/Emamjome0HR20a fatcat:ks4qs2swgrb3xjvzuykp3oym3i

Process Mining on Event Graphs: a Framework to Extensively Support Projects

Alessandro Berti
2019 International Conference on Business Process Management  
The research project described in this paper proposes a novel framework to support process mining analysis, that uses the advances in graph algorithms and in-memory data processing in order to reduce the  ...  While many algorithmic techniques have been developed for discovery, conformance checking and other process mining techniques, extracting data from today's information systems requires the specification  ...  The PM 2 process mining methodology [27] describes the different phases of a process mining project: (P1-2) planning and extraction, (P3) data processing (P4-P6) mining, analysis, evaluation and improvement  ... 
dblp:conf/bpm/Berti19 fatcat:kg3wvpxsl5h47arynd3d4h6tqm

A cost model to estimate the effort of data mining projects (DMCoMo)

Oscar Marbán, Ernestina Menasalvas, Covadonga Fernández-Baizán
2008 Information Systems  
CRISP-DM is the standard to develop Data Mining projects. CRISP-DM proposes processes and tasks that you have to carry out to develop a Data Mining project.  ...  Consequently, in this paper we propose to design and validate a parametric cost estimation model, similar to COCOMO or SLIM in software development, for Data Mining projects (DMCoMo 1 ).  ...  However, due to the complexity of the Data Mining process, a Data Mining methodology is needed. The Data Mining methodology is CRISP-DM [11] .  ... 
doi:10.1016/ fatcat:vxi4og2zcnhzrctevxpy6wp4u4

Practical Text Mining for Trend Analysis: Ontology to visualization in Aerospace Technology

2017 KSII Transactions on Internet and Information Systems  
To solve the problem, this study proposes a practical text mining methodology for the science and technology trend analysis, in case of aerospace technology, and conduct text mining methods such as ontology  ...  Indeed, a lot of resources from the government have supported into the science and technology R&D projects for several decades.  ...  To support the difficulties, this study proposes a practical text mining methodology for the science and technology trend analysis.  ... 
doi:10.3837/tiis.2017.08.022 fatcat:qhn2z3mlgvh45nqklnc7fw4zoe

Analysis of Document Pre-Processing Effects in Text and Opinion Mining

Danilo Eler, Denilson Grosa, Ives Pola, Rogério Garcia, Ronaldo Correia, Jaqueline Teixeira
2018 Information  
Therefore, we propose a methodology to vary distinct combinations of pre-processing steps and to analyze which pre-processing combination allows high precision.  ...  overall text mining process.  ...  Methodology for analyzing the best pre-processing methods prior to text mining tasks.  ... 
doi:10.3390/info9040100 fatcat:mjvdyjgn5bdxzjcjwdyaz2xdei

From the Business Decision Modeling to the Use Case Modeling in Data Mining Projects [chapter]

Oscar Marban, Jos Gallardo, Gonzalo Mariscal, Javier Segovi
2011 New Fundamental Technologies in Data Mining  
Evaluation of the proposed methodology In order to establish an evaluation baseline and estimate the benefit of the proposed methodology, we compare two instances in which a data mining project was developed  ...  data mining project.  ...  From the Business Decision Modeling to the Use Case Modeling in Data Mining Projects, New Fundamental Technologies in Data Mining, Prof.  ... 
doi:10.5772/13628 fatcat:ook3fnffhnekdplwxwwogpbbiy

A Proposal of a Process Model for Requirements Elicitation in Information Mining Projects [chapter]

Diego Mansilla, M. Pollo-Cattaneo, Paola Britos, Ramón García-Martínez
2013 Lecture Notes in Business Information Processing  
In this context, a process of requirements gathering for information mining projects is presented, emphasizing the following phases: conceptualization, business definition and information mining process  ...  Thus, the traditional software development process for requirements elicitation cannot be used to acquire required information for information mining process.  ...  On the other side, related to information mining projects, there are some methodologies for developing information mining systems such as DM [7] , P3TQ [8] , y SEMMA [9] .  ... 
doi:10.1007/978-3-642-36611-6_13 fatcat:dqvysnd2abcv5edx6s4nzuy4ne
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