Show simple item record

Modelo basado en CRISP-DM extendido mediante prácticas de metodologías ágiles para proyectos medianos de analítica de datos

dc.contributor.advisorQuintero, Juan Bernardo
dc.contributor.advisorManrique Losada, Bell
dc.contributor.authorMavesoy Murcia, Cristian Daniel
dc.coverage.spatialLat: 06 15 00 N  degrees minutes  Lat: 6.2500  decimal degreesLong: 075 36 00 W  degrees minutes  Long: -75.6000  decimal degrees
dc.date.accessioned2021-04-20T18:35:57Z
dc.date.available2021-04-20T18:35:57Z
dc.date.created2019-09-18
dc.identifier.otherCD-ROM 9036 2018
dc.identifier.urihttp://hdl.handle.net/11407/6341
dc.descriptionLos proyectos de analítica de datos adquieren un papel importante en las organizaciones, apoyando la toma de decisiones, identificando oportunidades de mejora, mercados potenciales o para predecir el comportamiento de los clientes bajo algunas variables de entorno. Por lo tanto, se debe hacer énfasis en los procesos usados para este tipo de proyectos y adaptarlo a entornos ágiles, los cuales permitan realizar entregas tempranas, de valor e identificar amenazas del proyecto de forma oportuna lo antes posible. Este documento propone una metodología de analítica de datos en entornos ágiles llamada CRISP-DM Ágil para proyectos medianos, la cual se basa en CRISP-DM donde se detallan actividades específicas de proyectos e incluye prácticas de metodologías ágiles para realizar tableros de control o Dashboard y/o Reporting. El caso de estudio basado en un diseño experimental donde se comparan dos proyectos construidos en dos (2) universidades de la misma naturaleza, independiente de su tecnología, realizados usando el estándar CRISP-DM y CRISP-DM ÁGIL.
dc.format.extentp. 1-122
dc.format.mediumElectrónico
dc.format.mimetypeapplication/pdf
dc.language.isospa
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0
dc.subjectCRISP-DM
dc.subjectAnalítica de datos
dc.subjectSPEM
dc.subjectÁgil
dc.subjectSCRUM
dc.titleModelo basado en CRISP-DM extendido mediante prácticas de metodologías ágiles para proyectos medianos de analítica de datos
dc.rights.accessrightsinfo:eurepo/semantics/openAccess
dc.publisher.programMaestría en Ingeniería de Software
dc.subject.lembIngeniería de software
dc.subject.lembMinería de datos
dc.subject.lembProcesamiento de datos
dc.relation.citationstartpage1
dc.relation.citationendpage122
dc.audienceComunidad Universidad de Medellín
dc.publisher.facultyFacultad de Ingenierías
dc.publisher.placeMedellín
dc.relation.referencesAgyapong, K. B., Hayfron-Acquah, J. B., & Asante, M. (2016). An Overview of Data Mining Models (Descriptive and Predictive) (Vol. 4). Retrieved from www.ijournals.inspa
dc.relation.referencesAlnoukari, M. (2016). ASD-BI : A Knowledge Discovery Process Modeling Based on Adaptive Software Business Intelligence and Agile Methodologies for Knowledge-Based Organizations : Cross-Disciplinary Applications, (January), 28.spa
dc.relation.referencesAlnoukari, M., Alzoabi, Z., & Hanna, S. (2008). Applying Adaptive Software Development (ASD) agile modeling on predictive data mining applications: ASD-DM methodology. Proceedings - International Symposium on Information Technology 2008, ITSim, 2. https://doi.org/10.1109/ITSIM.2008.4631695spa
dc.relation.referencesAnaluisa Barona, J. F. (2016). Formulación de un marco metodológico para el desarrollo de soluciones de inteligencia de negocios, empleando metodologías agiles. Caso: área de datawarehouse del servicio de rentas internas. Retrieved from http://dspace.udla.edu.ec/handle/33000/5689spa
dc.relation.referencesAzevedo, A. I. R. L., & Santos, M. F. (2008). KDD, SEMMA and CRISP-DM: a parallel overview. IADS - DM. Retrieved from http://recipp.ipp.pt/handle/10400.22/136spa
dc.relation.referencesBiguru. (2015). What roles do you need in your data science team? | The Business Intelligence Blog. Retrieved May 21, 2018, from https://biguru.wordpress.com/2015/06/25/what-roles-do-you-need-in-your-data-science-team/spa
dc.relation.referencesBoer, G. (2017). What is Scrum? - Azure DevOps | Microsoft Docs. Retrieved May 16, 2018, from https://docs.microsoft.com/es-es/azure/devops/agile/what-is-scrumspa
dc.relation.referencesBucher, T., Klesse, M., Kurpjuweit, S., & Winter, R. (2007). Situational Method Engineering. Retrieved from http://www.iwi.unisg.chspa
dc.relation.referencesChapman, P., Clinton, J., Kerber, R., Khabaza, T., Reinartz, T., Shearer, C., & Wirth, R. (2000). Crisp-Dm 1.0. CRISP-DM Consortium, 76. https://doi.org/10.1109/ICETET.2008.239spa
dc.relation.referencesChen, H. M., Kazman, R., & Haziyev, S. (2016). Agile big data analytics development: An architecture-centric approach. In Proceedings of the Annual Hawaii International Conference on System Sciences (Vol. 2016-March, pp. 5378–5387). IEEE. https://doi.org/10.1109/HICSS.2016.665spa
dc.relation.referencesDaihani, D. U., & Feblian, D. (2016). IMPLEMENTATION OF CRISP-DM MODEL IN ORDER TO DEFINE THE SALES PIPE LINES OF PT X. Retrieved from https://isiem.net/wp-content/uploads/2016/10/9th_ISIEM_2016_paper_59_dss.pdfspa
dc.relation.referencesDelen, D., & Demirkan, H. (2013). Data, information and analytics as services. Decision Support Systems, 55(1), 359–363. https://doi.org/10.1016/j.dss.2012.05.044spa
dc.relation.referencesEspino, T. C., & Martinez, X. (2017). Análisis predictivo: técnicas y modelos utilizados y aplicaciones del mismo - herramientas Open Source que permiten su uso. Retrieved from http://openaccess.uoc.edu/webapps/o2/bitstream/10609/59565/6/caresptimTFG0117memòria.pdfspa
dc.relation.referencesFayyad, U. (1996). KDD Fayyad_Piatetsky-1996-TheKDD, 39(11), 27–34. https://doi.org/10.1145/240455.240464spa
dc.relation.referencesGandomi, A., & Haider, M. (2015). Beyond the hype: Big data concepts, methods, and analytics. International Journal of Information Management, 35(2), 137–144. https://doi.org/10.1016/j.ijinfomgt.2014.10.007spa
dc.relation.referencesGarcés Uquillas, M. B. (2015). Estudio comparativo de metodologías e implementación de alternativas business intelligence opensource vs. propietarias en entornos tradicionales; caso prototipo en las pymes en el sector agroindustrial. Retrieved from http://200.24.220.94/handle/33000/2660spa
dc.relation.referencesGarcía Aguilar, J. (2016). CRONOS-ANALYZER: Herramienta para el análisis y extracción de conocimiento a partir de datos sobre el uso del tiempo personal. Retrieved from https://ruidera.uclm.es/xmlui/handle/10578/8195spa
dc.relation.referencesGarzón, A. (2018). Introducción a Data Science - Microsoft Virtual Academy. Retrieved June 13, 2018, from https://mva.microsoft.com/es-es/training-courses/introduccin-a-data-science-18330?l=e2izowPcE_5411982333spa
dc.relation.referencesGolfarelli, M., Rizzi, S., & Turricchia, E. (2012). Sprint Planning Optimization in Agile Data Warehouse Design BT - Data Warehousing and Knowledge Discovery. Data Warehousing and Knowledge Discovery, 7448(Chapter 3), 30–41. https://doi.org/10.1007/978-3-642-32584-7_3spa
dc.relation.referencesGuhaThakurta, D., Ericson, G., Martens, J., & Bradley, R. (2017). Business understanding stage of the Team Data Science Process lifecycle - Azure | Microsoft Docs. Retrieved May 13, 2018, from https://docs.microsoft.com/en-us/azure/machine-learning/team-data-science-process/lifecycle-business-understandingspa
dc.relation.referencesHenderson-Sellers, B., & Ralyté, J. (2010). Situational Method Engineering: State-of-the-Art Review. Retrieved from https://pdfs.semanticscholar.org/1a8f/2fd4c185a18017a2802697b0176e6d41c786.pdfspa
dc.relation.referencesHochsztain, E., & Tasistro, A. (2015). Teaching an Learning Business Intelligence: Business Evaluation Last but Not Least. In 2015 International Workshop on Data Mining with Industrial Applications (DMIA) (pp. 66–71). IEEE. https://doi.org/10.1109/DMIA.2015.19spa
dc.relation.referencesIBM. (2012). Manual CRISP-DM de IBM SPSS Modeler. (C. I. C. 1994, Ed.). Copyright IBM Corporation 1994. Retrieved from ftp://public.dhe.ibm.com/software/analytics/spss/documentation/modeler/15.0/es/CRISP-DM.pdfspa
dc.relation.referencesJair, H., Palacios, G., Andrés, R., Toledo, J., Albeiro, G., Pantoja, H., … Navarro, M. (2017). A comparative between CRISP-DM and SEMMA through the construction of a MODIS repository for studies of land use and cover change. Retrieved from www.astesj.comspa
dc.relation.referencesKanbantool. (n.d.). Metodología Kanban | Kanban Tool. Retrieved January 20, 2019, from https://kanbantool.com/es/metodologia-kanbanspa
dc.relation.referencesKathrynEE, Danielson Steve, & Erickson Doug. (2018). Understand and configure your Kanban board - Azure Boards | Microsoft Docs. Retrieved December 20, 2018, from https://docs.microsoft.com/en-us/azure/devops/boards/boards/kanban-basics?view=vsts&tabs=new-navspa
dc.relation.referencesKrawatzeck, R., & Dinter, B. (2015). Agile Business Intelligence: Collection and Classification of Agile Business Intelligence Actions by Means of a Catalog and a Selection Guide. Information Systems Management, 32(3), 177–191. https://doi.org/10.1080/10580530.2015.1044336spa
dc.relation.referencesKrawatzeck, R., Dinter, B., & Thi, D. A. P. (2015). How to Make Business Intelligence Agile: The Agile BI Actions Catalog. In 2015 48th Hawaii International Conference on System Sciences (pp. 4762–4771). IEEE. https://doi.org/10.1109/HICSS.2015.566spa
dc.relation.referencesMcLaughlin, M. (2018). Agile Methodologies for Software Development. Retrieved May 16, 2018, from https://www.versionone.com/agile-101/agile-methodologies/spa
dc.relation.referencesMenéndez Domínguez, V. H., & Castellanos Bolaños, M. E. (2008). Software Process Engineering Metamodel (SPEM). Revista Latinoamericana de Ingenieria de Software, 3(2), 92–100. https://doi.org/10.18294/relais.2015.92-100spa
dc.relation.referencesMoine, J. M., Haedo, A. S., Nacional, U. T., & Rosario, F. R. (2015). Una herramienta para la evaluación y comparación de metodologías de minería de datos.spa
dc.relation.referencesMuntean, M. (2014). Toward Agile BI By Using In-Memory Analytics. Informatica Economică, 18(3). https://doi.org/10.12948/issn14531305/18.3.2014.03spa
dc.relation.referencesMuntean, M., & Surcel, T. (2013). Agile BI – The Future of BI. Informatica Economică, 17(3). https://doi.org/10.12948/issn14531305/17.3.2013.10spa
dc.relation.referencesNadali, A., Kakhky, E. N., & Nosratabadi, H. E. (2011). Evaluating the success level of data mining projects based on CRISP-DM methodology by a Fuzzy expert system. ICECT 2011 - 2011 3rd International Conference on Electronics Computer Technology, 6, 161–165. https://doi.org/10.1109/ICECTECH.2011.5942073spa
dc.relation.referencesNehan, Y.-R., & Deneckere, R. (2007). Component-based Situational Methods BT - Situational Method Engineering: Fundamentals and Experiences. In J. Ralyté, S. Brinkkemper, & B. Henderson-Sellers (Eds.) (pp. 161–175). Boston, MA: Springer US.spa
dc.relation.referencesOstadzadeh, S., & Shams, F. (2013). Towards a Software Architecture Maturity Model for Improving Ultra-Large-Scale Systems Interoperability. The International Journal of Soft Computing and Software Engineering, 3(3), 69–74. https://doi.org/10.7321/jscse.v3.n3.13spa
dc.relation.referencesPiatetsky, G., & KDnuggets. (2014). CRISP-DM, still the top methodology for analytics, data mining, or data science projects. Retrieved June 12, 2018, from https://www.kdnuggets.com/2014/10/crisp-dm-top-methodology-analytics-data-mining-data-science-projects.htmlspa
dc.relation.referencesRehani, B. (2011). Agile way of BI implementation. In 2011 Annual IEEE India Conference (pp. 1–6). IEEE. https://doi.org/10.1109/INDCON.2011.6139618spa
dc.relation.referencesRogalewicz, M., & Sika, R. (2016). Methodologies of Knowledge Discovery from Data and Data Mining Methods in Mechanical Engineering. Management and Production Engineering Review, 7(4), 97–108. https://doi.org/10.1515/mper-2016-0040spa
dc.relation.referencesSaltz, J., Shamshurin, I., & Connors, C. (2017). A Framework for Describing Big Data Projects (pp. 183–195). Springer, Cham. https://doi.org/10.1007/978-3-319-52464-1_17spa
dc.relation.referencesSaltz, J., Shamshurin, I., & Crowston, K. (2017). Comparing Data Science Project Management Methodologies via a Controlled Experiment. Retrieved from http://hl-128-171-57-22.library.manoa.hawaii.edu/handle/10125/41273spa
dc.relation.referencesSAS. (2019). ¿Qué es la minería de datos? | SAS. Retrieved August 13, 2019, from https://www.sas.com/es_co/insights/analytics/data-mining.htmlspa
dc.relation.referencesSchwaber, K. (2017). The Scrum Guide TM, (November).spa
dc.relation.referencesSchwaber, K., & Sutherland, J. (2017). Scrum Guide | Scrum Guides. Retrieved May 16, 2018, from http://www.scrumguides.org/scrum-guide.htmlspa
dc.relation.referencesSCRUMstudyTM. (2016). SCRUM.spa
dc.relation.referencesShafique, U., & Qaiser, H. (2014). A Comparative Study of Data Mining Process Models (KDD, CRISP-DM and SEMMA). International Journal of Innovation and Scientific Research ISSN, 12(1), 2351–8014. Retrieved from http://www.ijisr.issr-journals.org/spa
dc.relation.referencesSharma, V., Stranieri, A., Vamplew, P., & Martin, L. (2017). An Agile Group Aware Process beyond CRISP-DM : A Hospital Data Mining Case Study, 109–113.spa
dc.relation.referencesShcherbakov, M., Shcherbakova, N., Brebels, A., Janovsky, T., & Kamaev, V. (2014). Lean Data Science Research Life Cycle: A Concept for Data Analysis Software Development (pp. 708–716). Springer, Cham. https://doi.org/10.1007/978-3-319-11854-3_61spa
dc.relation.referencesUribe, E. H., & Ayala, L. E. V. (2007). Del manifiesto ágil sus valores y principios. Scientia Et Technica, XIII(34), 381–386. Retrieved from http://www.redalyc.org/resumen.oa?id=84934064%5Cnhttp://www.redalyc.org/articulo.oa?id=84934064spa
dc.relation.referencesZhu, X. (2017). Agile mining : a novel data mining process for industry practice based on Agile Methods and visualization. Retrieved from https://opus.lib.uts.edu.au/handle/10453/123178spa
dc.rights.creativecommonsAttribution-NonCommercial-ShareAlike 4.0 International
dc.type.versioninfo:eu-repo/semantics/publishedVersion
dc.type.versioninfo:eu-repo/semantics/acceptedVersion
dc.type.localTesis de Maestría
dc.type.driverinfo:eu-repo/semantics/masterThesis
dc.description.degreenameMagíster en Ingeniería de Software
dc.description.degreelevelMaestría
dc.publisher.grantorUniversidad de Medellín


Files in this item

Thumbnail
Name:
T_MIS_398.pdf
Size:
4.240Mb
Format:
PDF
View/Open

This item appears in the following Collection(s)

Show simple item record

Attribution-NonCommercial-ShareAlike 4.0 International
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-ShareAlike 4.0 International