{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T14:31:07Z","timestamp":1742913067802,"version":"3.40.3"},"publisher-location":"Cham","reference-count":25,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030578015"},{"type":"electronic","value":"9783030578022"}],"license":[{"start":{"date-parts":[[2020,8,29]],"date-time":"2020-08-29T00:00:00Z","timestamp":1598659200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,8,29]],"date-time":"2020-08-29T00:00:00Z","timestamp":1598659200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021]]},"DOI":"10.1007\/978-3-030-57802-2_3","type":"book-chapter","created":{"date-parts":[[2020,8,28]],"date-time":"2020-08-28T07:05:27Z","timestamp":1598598327000},"page":"22-32","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["How Noisy and Missing Context Influences Predictions in a Practical Context-Aware Data Mining System"],"prefix":"10.1007","author":[{"given":"Anca","family":"Avram","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Oliviu","family":"Matei","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Camelia-M.","family":"Pintea","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Petrica C.","family":"Pop","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Carmen Ana","family":"Anton","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,8,29]]},"reference":[{"key":"3_CR1","doi-asserted-by":"crossref","unstructured":"Abramowitz, M., Stegun, I.A.: Handbook of mathematical functions with formulas, graphs, and mathematical table. In: US Department of Commerce. National Bureau of Standards Applied Mathematics Series, vol. 55 (1965)","DOI":"10.1115\/1.3625776"},{"key":"3_CR2","doi-asserted-by":"crossref","unstructured":"Anton, C.A., et\u00a0al.: Performance analysis of collaborative data mining vs context aware data mining in a practical scenario for predicting air humidity. In: Proceedings of the Computational Methods in Systems and Software, CoMeSySo 2019, pp. 31\u201340. Springer, Cham (2019)","DOI":"10.1007\/978-3-030-31362-3_5"},{"key":"3_CR3","doi-asserted-by":"crossref","first-page":"199","DOI":"10.1007\/978-3-030-20055-8_19","volume":"950","author":"A Avram","year":"2019","unstructured":"Avram, A., et al.: Context-aware data mining vs classical data mining: case study on predicting soil moisture. Adv. Intell. Syst. Comput. 950, 199\u2013208 (2019)","journal-title":"Adv. Intell. Syst. Comput."},{"key":"3_CR4","doi-asserted-by":"publisher","unstructured":"Avram, A., Matei, O., Pintea, C.-M., Pop, P.: Context quality impact in context-aware data mining for predicting soil moisture. Cybern. Syst. Taylor & Francis, 1\u201317 (2020). https:\/\/doi.org\/10.1080\/01969722.2020.1798642","DOI":"10.1080\/01969722.2020.1798642"},{"issue":"4","key":"3_CR5","doi-asserted-by":"publisher","first-page":"24","DOI":"10.1145\/2333112.2333119","volume":"44","author":"P Bellavista","year":"2012","unstructured":"Bellavista, P., Corradi, A., Fanelli, M., Foschini, L.: A survey of context data distribution for mobile ubiquitous systems. ACM Comput. Surv. 44(4), 24 (2012)","journal-title":"ACM Comput. Surv."},{"key":"3_CR6","volume-title":"Data Mining: Know it All","author":"S Chakrabarti","year":"2008","unstructured":"Chakrabarti, S., et al.: Data Mining: Know it All. Morgan Kaufmann, Massachusetts (2008)"},{"issue":"1","key":"3_CR7","doi-asserted-by":"publisher","first-page":"265","DOI":"10.1007\/s10115-016-0938-8","volume":"50","author":"GC Cri\u015fan","year":"2017","unstructured":"Cri\u015fan, G.C., Pintea, C.-M., Palade, V.: Emergency management using geographic information systems: application to the first romanian traveling salesman problem instance. Knowl. Inf. Syst. 50(1), 265\u2013285 (2017)","journal-title":"Knowl. Inf. Syst."},{"issue":"1","key":"3_CR8","doi-asserted-by":"publisher","first-page":"4","DOI":"10.1007\/s007790170019","volume":"5","author":"AK Dey","year":"2001","unstructured":"Dey, A.K.: Understanding and using context. Pers. Ubiquit. Comput. 5(1), 4\u20137 (2001)","journal-title":"Pers. Ubiquit. Comput."},{"key":"3_CR9","first-page":"502","volume-title":"In: The Concise Encyclopedia of Statistics","author":"Y Dodge","year":"2008","unstructured":"Dodge, Y.: Spearman rank correlation coefficient. In: The Concise Encyclopedia of Statistics, pp. 502\u2013505. Springer, New York (2008)"},{"key":"3_CR10","unstructured":"Han, J., Kamber, M., Pei, J.: Data Mining: Concepts and Techniques. Morgan Kaufmann Series in Data Management Systems, pp. 230\u2013240 (2006)"},{"key":"3_CR11","doi-asserted-by":"publisher","DOI":"10.1201\/b16023","volume-title":"RapidMiner: Data Mining use Cases and Business Analytics Applications","author":"M Hofmann","year":"2016","unstructured":"Hofmann, M., Klinkenberg, R.: RapidMiner: Data Mining use Cases and Business Analytics Applications. CRC Press, Boca Raton (2016)"},{"key":"3_CR12","volume-title":"Forecasting: Principles and Practice","author":"RJ Hyndman","year":"2018","unstructured":"Hyndman, R.J., Athanasopoulos, G.: Forecasting: Principles and Practice. OTexts Melbourne, Australia (2018)"},{"issue":"4","key":"3_CR13","doi-asserted-by":"publisher","first-page":"679","DOI":"10.1016\/j.ijforecast.2006.03.001","volume":"22","author":"RJ Hyndman","year":"2006","unstructured":"Hyndman, R.J., Koehler, A.B.: Another look at measures of forecast accuracy. Int. J. Forecast. 22(4), 679\u2013688 (2006)","journal-title":"Int. J. Forecast."},{"key":"3_CR14","unstructured":"Kotte, O., Elorriaga, A., Stokic, D., Scholze, S.: Context sensitive solution for collaborative decision making on quality assurence in software development processes. In: Intelligent Decision Technologies: KES-IDT 2013, vol. 255, pp. 130\u2013139. IOS Press (2013)"},{"key":"3_CR15","volume-title":"Predictive Analytics and Data Mining: Concepts and Practice with RapidMiner","author":"V Kotu","year":"2014","unstructured":"Kotu, V., Deshpande, B.: Predictive Analytics and Data Mining: Concepts and Practice with RapidMiner. Morgan Kaufmann, San Francisco (2014)"},{"issue":"2","key":"3_CR16","first-page":"527","volume":"14","author":"S Lee","year":"2011","unstructured":"Lee, S., Chang, J., Lee, S.-G.: Survey and trend analysis of context-aware systems. Inf. Int. Interdisc. J. 14(2), 527\u2013548 (2011)","journal-title":"Inf. Int. Interdisc. J."},{"key":"3_CR17","volume-title":"Modern Data Warehousing, Mining, and Visualization: Core Concepts","author":"GM Marakas","year":"2003","unstructured":"Marakas, G.M.: Modern Data Warehousing, Mining, and Visualization: Core Concepts. Prentice Hall, Upper Saddle River (2003)"},{"key":"3_CR18","first-page":"415","volume-title":"International Conference on Hybrid Artificial Intelligence Systems","author":"O Matei","year":"2017","unstructured":"Matei, O., et al.: Context-aware data mining: embedding external data sources in a machine learning process. In: de Mart\u00ednez Pis\u00f3n, F., Urraca, R., Quinti\u00e1n, H., Corchado, E. (eds.) International Conference on Hybrid Artificial Intelligence Systems, pp. 415\u2013426. Springer, Cham (2017)"},{"key":"3_CR19","doi-asserted-by":"crossref","unstructured":"Ramaswamy, S., Rastogi, R., Shim, K.: Efficient algorithms for mining outliers from large data sets. In: ACM Sigmod Record, vol. 29(2), pp. 427\u2013438. ACM (2000)","DOI":"10.1145\/335191.335437"},{"key":"3_CR20","first-page":"107","volume-title":"Conference on Computing, Electrical and Industrial Systems","author":"S Scholze","year":"2016","unstructured":"Scholze, S., Barata, J.: Context awareness for flexible manufacturing systems using cyber physical approaches. In: Camarinha-Matos, L.M., Falc\u00e3o, A.J., Vafaei, N., Najdi, S. (eds.) Conference on Computing, Electrical and Industrial Systems, pp. 107\u2013115. Springer, Cham (2016)"},{"issue":"3","key":"3_CR21","doi-asserted-by":"publisher","first-page":"455","DOI":"10.3390\/s17030455","volume":"17","author":"S Scholze","year":"2017","unstructured":"Scholze, S., Barata, J., Stokic, D.: Holistic context-sensitivity for run-time optimization of flexible manufacturing systems. Sensors 17(3), 455 (2017)","journal-title":"Sensors"},{"key":"3_CR22","doi-asserted-by":"publisher","first-page":"381","DOI":"10.1007\/978-3-540-45227-0_38","volume-title":"International Conference on Database and Expert Systems Applications","author":"P Vajirkar","year":"2003","unstructured":"Vajirkar, P., Singh, S., Lee, Y.: Context-aware data mining framework for wireless medical application. In: Ma\u0159\u00edk, V., Retschitzegger, W., \u0160t\u011bp\u00e1nkov\u00e1, O. (eds.) International Conference on Database and Expert Systems Applications, pp. 381\u2013391. Springer, Cham (2003)"},{"issue":"3","key":"3_CR23","doi-asserted-by":"publisher","first-page":"73","DOI":"10.1109\/MPRV.2002.1037725","volume":"1","author":"S Voida","year":"2002","unstructured":"Voida, S., Mynatt, E.D., MacIntyre, B., Corso, G.M.: Integrating virtual and physical context to support knowledge workers. IEEE Pervasive Comput. 1(3), 73\u201379 (2002)","journal-title":"IEEE Pervasive Comput."},{"issue":"4","key":"3_CR24","doi-asserted-by":"publisher","first-page":"693","DOI":"10.1147\/sj.384.0693","volume":"38","author":"M Weiser","year":"1999","unstructured":"Weiser, M., Gold, R., Brown, J.S.: The origins of ubiquitous computing research at parc in the late 1980s. IBM Syst. J. 38(4), 693\u2013696 (1999)","journal-title":"IBM Syst. J."},{"key":"3_CR25","unstructured":"Witten, I.H., Frank, E., Hall, M.A.: Data mining: Practical Machine Learning Tools and Techniques. Morgan Kaufmann Series in Data Management Aystems, vol. 104, p. 113. Morgan Kaufmann, Los Altos (2005)"}],"container-title":["Advances in Intelligent Systems and Computing","15th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2020)"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-57802-2_3","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,10,6]],"date-time":"2023-10-06T12:12:44Z","timestamp":1696594364000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-57802-2_3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,8,29]]},"ISBN":["9783030578015","9783030578022"],"references-count":25,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-57802-2_3","relation":{},"ISSN":["2194-5357","2194-5365"],"issn-type":[{"type":"print","value":"2194-5357"},{"type":"electronic","value":"2194-5365"}],"subject":[],"published":{"date-parts":[[2020,8,29]]},"assertion":[{"value":"29 August 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"SOCO","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Workshop on Soft Computing Models in Industrial and Environmental Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Burgos","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Spain","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16 September 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18 September 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"socomoin2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/2020.sococonference.eu\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}