{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,21]],"date-time":"2026-04-21T21:26:30Z","timestamp":1776806790237,"version":"3.51.2"},"reference-count":50,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2017,4,7]],"date-time":"2017-04-07T00:00:00Z","timestamp":1491523200000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100000038","name":"Natural Sciences and Engineering Research Council of Canada","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100000038","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004543","name":"China Scholarship Council","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100004543","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Int J Data Sci Anal"],"published-print":{"date-parts":[[2017,12]]},"DOI":"10.1007\/s41060-017-0051-4","type":"journal-article","created":{"date-parts":[[2017,4,7]],"date-time":"2017-04-07T19:53:48Z","timestamp":1491594828000},"page":"237-250","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Improving the prediction of wind power ramps using texture extraction techniques applied to atmospheric pressure fields"],"prefix":"10.1007","volume":"4","author":[{"given":"Yaqiong","family":"Li","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7780-5048","authenticated-orcid":false,"given":"Petr","family":"Musilek","sequence":"additional","affiliation":[]},{"given":"Edward","family":"Lozowski","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2017,4,7]]},"reference":[{"key":"51_CR1","doi-asserted-by":"crossref","unstructured":"Li, Y., Musilek, P., Lozowski, E., et al.: Temporal uncertainty of wind ramp predictions using probabilistic forecasting technique. In: IEEE Big Data Service 2016 conference, Oxford, UK (2016)","DOI":"10.1109\/BigDataService.2016.33"},{"key":"51_CR2","doi-asserted-by":"crossref","unstructured":"Ferreira, C., Gama, J., Matias, L., Botterud, A., Wang, J.: A survey on wind power ramp forecasting. Technical report, Argonne US Department of Energy Laboratory (2010)","DOI":"10.2172\/1008309"},{"issue":"6","key":"51_CR3","doi-asserted-by":"publisher","first-page":"1725","DOI":"10.1016\/j.rser.2007.01.015","volume":"12","author":"A Costa","year":"2008","unstructured":"Costa, A., Crespo, A., Navarro, J., Lizcano, G., Madsen, H., Feitosa, E.: A review on the young history of the wind power short-term prediction. Renew. Sustain. Energy Rev. 12(6), 1725\u20131744 (2008). doi: 10.1016\/j.rser.2007.01.015","journal-title":"Renew. Sustain. Energy Rev."},{"key":"51_CR4","unstructured":"Giebel, G., Brownsword, R., Kariniotakis, G., Denhard, M., Draxl, C.: The state-of-the-art in short-term prediction of wind power. Technical report, ANEMOS EU project, No. 038692 (2011)"},{"key":"51_CR5","doi-asserted-by":"publisher","first-page":"241","DOI":"10.1016\/j.renene.2012.02.015","volume":"46","author":"I Colak","year":"2012","unstructured":"Colak, I., Sagiroglu, S., Yesilbudak, M.: Data mining and wind power prediction: a literature review. Renew. Energy 46, 241\u2013247 (2012). doi: 10.1016\/j.renene.2012.02.015","journal-title":"Renew. Energy"},{"key":"51_CR6","doi-asserted-by":"publisher","first-page":"1148","DOI":"10.1016\/j.rser.2015.07.154","volume":"52","author":"C Gallego-Castillo","year":"2015","unstructured":"Gallego-Castillo, C., Cuerva-Tejero, A., Lopez-Garcia, O.: A review on the recent history of wind power ramp forecasting. Renew. Sustain. Energy Rev. 52, 1148\u20131157 (2015). doi: 10.1016\/j.rser.2015.07.154","journal-title":"Renew. Sustain. Energy Rev."},{"issue":"6","key":"51_CR7","doi-asserted-by":"publisher","first-page":"47","DOI":"10.1109\/MPE.2009.934261","volume":"7","author":"W Grant","year":"2009","unstructured":"Grant, W., Edelson, D., Dumas, J., Zack, J., Ahlstrom, M., Kehler, J., Storck, P., Lerner, J., Parks, K., Finley, C.: Change in the air. IEEE Power Energy Mag. 7(6), 47\u201358 (2009). doi: 10.1109\/MPE.2009.934261","journal-title":"IEEE Power Energy Mag."},{"key":"51_CR8","volume-title":"An Initial Climatology of Gales Over the North Sea. Synoptic Climatology Branch Memorandum","author":"AF Jenkinson","year":"1977","unstructured":"Jenkinson, A.F., Collison, F.P.: An Initial Climatology of Gales Over the North Sea. Synoptic Climatology Branch Memorandum. Meteorological Office, London (1977)"},{"issue":"9\u201312","key":"51_CR9","doi-asserted-by":"publisher","first-page":"360","DOI":"10.1016\/j.pce.2009.12.010","volume":"35","author":"A Philipp","year":"2010","unstructured":"Philipp, A., Bartholy, J., Beck, C., Erpicum, M., Esteban, P., Fettweis, X., Huth, R., James, P., Jourdain, S., Kreienkamp, F., Krennert, T., Lykoudis, S., Michalides, S.C., Pianko-Kluczynska, K., Post, P., Alvarez, D.R., Schiemann, R., Spekat, A., Tymvios, F.S.: Cost733cat - A database of weather and circulation type classifications. Phys. Chem. Earth 35(9\u201312), 360\u2013373 (2010). doi: 10.1016\/j.pce.2009.12.010","journal-title":"Phys. Chem. Earth"},{"key":"51_CR10","volume-title":"Meteorology Today: An Introduction to Weather, Climate, and the Environment","author":"CD Ahrens","year":"2012","unstructured":"Ahrens, C.D., Jackson, P.L., Jackson, C.E.: Meteorology Today: An Introduction to Weather, Climate, and the Environment. Nelson Education, Toronto (2012)"},{"issue":"10","key":"51_CR11","doi-asserted-by":"publisher","first-page":"1160","DOI":"10.1109\/TIP.2002.804262","volume":"11","author":"SE Grigorescu","year":"2002","unstructured":"Grigorescu, S.E., Petkov, N., Kruizinga, P.: Comparison of texture features based on Gabor filters. IEEE Trans. Image Process. 11(10), 1160\u20131167 (2002). doi: 10.1109\/TIP.2002.804262","journal-title":"IEEE Trans. Image Process."},{"key":"51_CR12","doi-asserted-by":"publisher","first-page":"51","DOI":"10.1002\/we.526","volume":"16","author":"A Bossavy","year":"2013","unstructured":"Bossavy, A., Girard, R., Kariniotakis, G.: Forecasting ramps of wind power production with numerical weather prediction ensembles. Wind Energy 16, 51\u201363 (2013). doi: 10.1002\/we.526","journal-title":"Wind Energy"},{"key":"51_CR13","doi-asserted-by":"crossref","first-page":"309","DOI":"10.1260\/030952409789685681","volume":"33","author":"B Greaves","year":"2009","unstructured":"Greaves, B., Collins, J., Parkes, J., Tindal, A.: Temporal forecast uncertainty for ramp events. Wind Eng. 33, 309\u2013320 (2009)","journal-title":"Wind Eng."},{"issue":"3","key":"51_CR14","doi-asserted-by":"publisher","first-page":"371","DOI":"10.1007\/s40565-015-0138-7","volume":"3","author":"M Cui","year":"2015","unstructured":"Cui, M., Deping, K.E., Gan, D., et al.: Statistical scenarios forecasting method for wind power ramp events using modified neural networks. J. Mod. Power Syst. Clean Energy 3(3), 371\u2013380 (2015). doi: 10.1007\/s40565-015-0138-7","journal-title":"J. Mod. Power Syst. Clean Energy"},{"key":"51_CR15","doi-asserted-by":"publisher","unstructured":"Ferreira, C., Gama, J., Miranda, V., Botterud, A.: Probabilistic ramp detection and forecasting for wind power prediction. In: Billinton, R., Karki, R., Verma, A.K. Reliability and Risk Evaluation of Wind Integrated Power Systems Reliable and Sustainable Electric Power and Energy Systems Management, pp. 29\u201344. Springer, India (2013). doi: 10.1007\/978-81-322-0987-4_3","DOI":"10.1007\/978-81-322-0987-4_3"},{"issue":"2","key":"51_CR16","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/TSTE.2014.2386870","volume":"6","author":"M Cui","year":"2015","unstructured":"Cui, M., Ke, D., Sun, Y., et al.: Wind power ramp event forecasting using a stochastic scenario generation method. IEEE Trans. Sustain. Energy 6(2), 1\u20131 (2015). doi: 10.1109\/TSTE.2014.2386870","journal-title":"IEEE Trans. Sustain. Energy"},{"issue":"4","key":"51_CR17","doi-asserted-by":"publisher","first-page":"368","DOI":"10.4236\/epe.2013.54B071","volume":"05","author":"T Ouyang","year":"2013","unstructured":"Ouyang, T., Zha, X., Qin, L.: A survey of wind power ramp forecasting. Energy Power Eng. 05(4), 368\u2013372 (2013). doi: 10.4236\/epe.2013.54B071","journal-title":"Energy Power Eng."},{"issue":"5","key":"51_CR18","doi-asserted-by":"publisher","first-page":"986","DOI":"10.1016\/j.renene.2007.06.013","volume":"33","author":"MM Carolin","year":"2008","unstructured":"Carolin, M.M., Fernandez, E.: Analysis of wind power generation and prediction using ANN: a case study. Renew. Energy 33(5), 986\u2013992 (2008). doi: 10.1016\/j.renene.2007.06.013","journal-title":"Renew. Energy"},{"issue":"3","key":"51_CR19","doi-asserted-by":"publisher","first-page":"275","DOI":"10.1002\/we.295","volume":"12","author":"A Kusiak","year":"2009","unstructured":"Kusiak, A., Zheng, H., Song, Z.: Wind farm power prediction: a data-mining approach. Wind Energy 12(3), 275\u2013293 (2009). doi: 10.1002\/we.295","journal-title":"Wind Energy"},{"key":"51_CR20","doi-asserted-by":"crossref","unstructured":"Kamath, C.: Scientific Data Mining: A Practical Perspective. Society for Industrial and Applied Mathematics, Philadelphia (2009)","DOI":"10.1137\/1.9780898717693"},{"key":"51_CR21","doi-asserted-by":"crossref","unstructured":"Kamath, C.: Associating weather conditions with ramp events in wind power generation. In: IEEE\/PES Power Systems Conference and Exposition, p. 2011. Phoenix (2011)","DOI":"10.1109\/PSCE.2011.5772527"},{"key":"51_CR22","doi-asserted-by":"publisher","first-page":"236","DOI":"10.1016\/j.renene.2012.06.036","volume":"50","author":"E Vladislavleva","year":"2013","unstructured":"Vladislavleva, E., Friedrich, T., Neumann, F., Wagner, M.: Predicting the energy output of wind farms based on weather data: important variables and their correlation. Renew. Energy 50, 236\u2013243 (2013). doi: 10.1016\/j.renene.2012.06.036","journal-title":"Renew. Energy"},{"issue":"3","key":"51_CR23","doi-asserted-by":"publisher","first-page":"934","DOI":"10.1109\/TSTE.2014.2334062","volume":"6","author":"A Couto","year":"2015","unstructured":"Couto, A., Costa, P., Rodrigues, L., et al.: Impact of weather regimes on the wind power ramp forecast in Portugal. IEEE Trans. Sustain. Energy 6(3), 934\u2013942 (2015). doi: 10.1109\/TSTE.2014.2334062","journal-title":"IEEE Trans. Sustain. Energy"},{"key":"51_CR24","doi-asserted-by":"publisher","first-page":"180","DOI":"10.1016\/j.atmosres.2012.06.015","volume":"118","author":"A Zagouras","year":"2012","unstructured":"Zagouras, A., Argiriou, A.A., Flocas, H.A., Economou, G., Fotopoulos, S.: An advanced method for classifying atmospheric circulation types based on prototypes connectivity graph. Atmos. Res. 118, 180\u2013192 (2012). doi: 10.1016\/j.atmosres.2012.06.015","journal-title":"Atmos. Res."},{"key":"51_CR25","unstructured":"Lamb, H.H.: British Isles weather types and a register of daily sequence of circulation patterns, 1861\u20131971. In: Geophysical Memoir, vol. 116. HMSO, London (1972)"},{"issue":"13","key":"51_CR26","doi-asserted-by":"publisher","first-page":"1559","DOI":"10.1002\/1097-0088(20001115)20:13<1559::AID-JOC555>3.0.CO;2-5","volume":"20","author":"RM Trigo","year":"2000","unstructured":"Trigo, R.M., Dacamara, C.C.: Circulation weather types and their influence on the precipitation regime in Portugal. Int. J. Climatol. 20(13), 1559\u20131581 (2000). doi: 10.1002\/1097-0088(20001115)20:13<1559::AID-JOC555>3.0.CO;2-5","journal-title":"Int. J. Climatol."},{"issue":"12","key":"51_CR27","doi-asserted-by":"publisher","first-page":"1796","DOI":"10.1002\/joc.1821","volume":"29","author":"M Demuzere","year":"2009","unstructured":"Demuzere, M., Werner, M., van Lipzig, N.P.M., Roeckner, E.: An analysis of present and future ECHAM5 pressure fields using a classification of circulation patterns. Int. J. Climatol. 29(12), 1796\u20131810 (2009). doi: 10.1002\/joc.1821","journal-title":"Int. J. Climatol."},{"issue":"3","key":"51_CR28","doi-asserted-by":"publisher","first-page":"1008","DOI":"10.1016\/j.engappai.2012.10.018","volume":"26","author":"PA Guti\u00e9rrez","year":"2013","unstructured":"Guti\u00e9rrez, P.A., Salcedo-Sanz, S., Herv\u00e1s-Mart\u00ednez, C., Carro-Calvo, L., S\u00e1nchez-Monedero, J., Prieto, L.: Ordinal and nominal classification of wind speed from synoptic pressure patterns. Eng. Appl. Artif. Intell. 26(3), 1008\u20131015 (2013). doi: 10.1016\/j.engappai.2012.10.018","journal-title":"Eng. Appl. Artif. Intell."},{"key":"51_CR29","unstructured":"Cutler, N.: Characterizing the uncertainty in potential large rapid changes in wind power generation. Doctoral dissertation, University of New South Wales (2009). Retrieved from ProQuest Dissertations and Theses"},{"key":"51_CR30","doi-asserted-by":"crossref","first-page":"71","DOI":"10.1007\/BF00341922","volume":"55","author":"MR Turner","year":"1986","unstructured":"Turner, M.R.: Texture discrimination by Gabor functions. Biol. Cybern. 55, 71\u201382 (1986)","journal-title":"Biol. Cybern."},{"key":"51_CR31","unstructured":"Bossavy, A., Girard, R., Karinikotakis, G.: A novel methodology for comparison of different ramp characterization approaches. In: Proceedings of the 2013 European Wind Energy Association Annual Event (EWEA), 4\u20137 Feb 2013, Vienna (2013)"},{"key":"51_CR32","doi-asserted-by":"publisher","first-page":"25","DOI":"10.1016\/j.jweia.2012.09.004","volume":"112","author":"C Stathopoulos","year":"2013","unstructured":"Stathopoulos, C., Kaperoni, A., Galanis, G., Kallos, G.: Wind power prediction based on numerical and statistical models. J. Wind Eng. Ind. Aerodyn. 112, 25\u201338 (2013). doi: 10.1016\/j.jweia.2012.09.004","journal-title":"J. Wind Eng. Ind. Aerodyn."},{"issue":"1","key":"51_CR33","doi-asserted-by":"publisher","first-page":"258","DOI":"10.1109\/TPWRS.2006.889078","volume":"22","author":"G Sideratos","year":"2007","unstructured":"Sideratos, G., Hatziargyriou, N.D.: An advanced statistical method for wind power forecasting. IEEE Trans. Power Syst. 22(1), 258\u2013265 (2007). doi: 10.1109\/TPWRS.2006.889078","journal-title":"IEEE Trans. Power Syst."},{"key":"51_CR34","doi-asserted-by":"publisher","first-page":"162","DOI":"10.4028\/www.scientific.net\/AMM.535.162","volume":"535","author":"D Gan","year":"2014","unstructured":"Gan, D., Ke, D.P.: Wind power ramp forecasting based on least-square support vector machine. Appl. Mech. Mater. 535, 162\u2013166 (2014). doi: 10.4028\/www.scientific.net\/AMM.535.162","journal-title":"Appl. Mech. Mater."},{"key":"51_CR35","volume-title":"Neural Networks for Pattern Recognition","year":"1995","unstructured":"Bishop, C.M. (ed.): Neural Networks for Pattern Recognition. Clarendon Press, Oxford (1995)"},{"issue":"1","key":"51_CR36","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.renene.2011.05.033","volume":"37","author":"AM Foley","year":"2012","unstructured":"Foley, A.M., Leahy, P.G., Marvuglia, A., McKeogh, E.J.: Current methods and advances in forecasting of wind power generation. Renew. Energy 37(1), 1\u20138 (2012). doi: 10.1016\/j.renene.2011.05.033","journal-title":"Renew. Energy"},{"issue":"7","key":"51_CR37","doi-asserted-by":"publisher","first-page":"1848","DOI":"10.1016\/j.renene.2008.11.014","volume":"34","author":"IJ Ramirez-Rosado","year":"2009","unstructured":"Ramirez-Rosado, I.J., Fernandez-Jimenez, L.A., Monteiro, C., Sousa, J., Bessa, R.: Comparison of two new short-term wind-power forecasting systems. Renew. Energy 34(7), 1848\u20131854 (2009). doi: 10.1016\/j.renene.2008.11.014","journal-title":"Renew. Energy"},{"key":"51_CR38","doi-asserted-by":"crossref","unstructured":"Catal\u00e3o, J.P.S., Pousinho, H.M.I., Mendes, V.M.F.: An artificial neural network approach for short-term wind power forecasting in Portugal. Paper presented at 15th international conference on intelligent system applications to power systems (2009)","DOI":"10.1109\/ISAP.2009.5352853"},{"key":"51_CR39","unstructured":"Skamarock, W.C., Klemp, J.B., Dudhia, J., Gill, D.O., Barker, D.M., Duda, M.G., Huang, X.Y., Wang, W., Powers, J.G.: A description of the advanced research WRF version 3. Technical report, NCAR, NCAR\/TN475+STR (2008)"},{"issue":"6","key":"51_CR40","doi-asserted-by":"publisher","first-page":"1065","DOI":"10.1175\/1520-0450(1983)022<1065:BPOTSF>2.0.CO;2","volume":"22","author":"YL Lin","year":"1983","unstructured":"Lin, Y.L., Farley, R.D., Orville, H.D.: Bulk parameterization of the snow field in a cloud model. J. Clim. Appl. Meteorol. 22(6), 1065\u20131092 (1983). doi: 10.1175\/1520-0450(1983)022<1065:BPOTSF>2.0.CO;2","journal-title":"J. Clim. Appl. Meteorol."},{"key":"51_CR41","doi-asserted-by":"publisher","unstructured":"Mlawer, E.J., Taubman, S.J., Brown, P.D., Lacono, M.J., Clough, S.A.: Radiative transfer for inhomogeneous atmospheres: RRTM, a validated correlated-k model for the longwave. J. Geophys. Res. D Atmos. 102(14), 16663\u201316682 (1997). doi: 10.1029\/97JD00237","DOI":"10.1029\/97JD00237"},{"issue":"20","key":"51_CR42","doi-asserted-by":"publisher","first-page":"3077","DOI":"10.1175\/1520-0469(1989)046<3077:NSOCOD>2.0.CO;2","volume":"46","author":"J Dudhia","year":"1989","unstructured":"Dudhia, J.: Numerical study of convection observed during the winter monsoon experiment using a mesoscale two-dimensional model. J. Atmos. Sci. 46(20), 3077\u20133107 (1989). doi: 10.1175\/1520-0469(1989)046<3077:NSOCOD>2.0.CO;2","journal-title":"J. Atmos. Sci."},{"key":"51_CR43","doi-asserted-by":"publisher","unstructured":"Paulson, C.A.: Mathematical representation of wind speed and temperature profiles in the unstable atmospheric surface layer. J. Appl. Meteorol. 9(6), 857\u2013861 (1970). doi: 10.1175\/1520-0450(1970)009<0857:TMROWS>2.0.CO;2","DOI":"10.1175\/1520-0450(1970)009%3c0857:TMROWS%3e2.0.CO;2"},{"issue":"11","key":"51_CR44","doi-asserted-by":"publisher","first-page":"1594","DOI":"10.1175\/1520-0450(1982)021<1594:AHRMOT>2.0.CO;2","volume":"21","author":"DL Zhang","year":"1982","unstructured":"Zhang, D.L., Anthes, R.A.: A high-resolution model of the planetary boundary layer - sensitivity tests and comparisons with SESAME-79 data. J. Appl. Meteorol. 21(11), 1594\u20131609 (1982). doi: 10.1175\/1520-0450(1982)021<1594:AHRMOT>2.0.CO;2","journal-title":"J. Appl. Meteorol."},{"issue":"4","key":"51_CR45","doi-asserted-by":"publisher","first-page":"569","DOI":"10.1175\/1520-0493(2001)129<0569:CAALSH>2.0.CO;2","volume":"129","author":"F Chen","year":"2001","unstructured":"Chen, F., Dudhia, J.: Coupling and advanced land surface-hydrology model with the Penn State-NCAR MM5 modeling system. Part I: Model implementation and sensitivity. Mon. Weather Rev. 129(4), 569\u2013585 (2001). doi: 10.1175\/1520-0493(2001)129<0569:CAALSH>2.0.CO;2","journal-title":"Mon. Weather Rev."},{"issue":"9","key":"51_CR46","doi-asserted-by":"publisher","first-page":"2318","DOI":"10.1175\/MWR3199.1","volume":"134","author":"SY Hong","year":"2006","unstructured":"Hong, S.Y., Noh, Y., Dudhia, J.: A new vertical diffusion package with an explicit treatment of entrainment processes. Mon. Weather Rev. 134(9), 2318\u20132341 (2006). doi: 10.1175\/MWR3199.1","journal-title":"Mon. Weather Rev."},{"key":"51_CR47","doi-asserted-by":"publisher","first-page":"170","DOI":"10.1175\/1520-0450(2004)043<0170:TKCPAU>2.0.CO;2","volume":"43","author":"JS Kain","year":"2004","unstructured":"Kain, J.S.: The Kain\u2013Fritsch convective parameterization: an update. J. Appl. Meteorol. 43, 170\u2013181 (2004). doi: 10.1175\/1520-0450(2004)043<0170:TKCPAU>2.0.CO;2","journal-title":"J. Appl. Meteorol."},{"issue":"3","key":"51_CR48","doi-asserted-by":"crossref","first-page":"605","DOI":"10.1002\/met.1383","volume":"21","author":"A Zarnani","year":"2014","unstructured":"Zarnani, A., Musilek, P., Heckenbergerova, J.: Clustering numerical weather forecasts to obtain statistical prediction intervals. Meteorol. Appl. 21(3), 605\u2013618 (2014)","journal-title":"Meteorol. Appl."},{"key":"51_CR49","volume-title":"Introduction to Statistical Pattern Recognition","author":"K Fukunaga","year":"1990","unstructured":"Fukunaga, K.: Introduction to Statistical Pattern Recognition, 2nd edn. Academic Press, Boston (1990)","edition":"2"},{"key":"51_CR50","doi-asserted-by":"publisher","first-page":"195","DOI":"10.1108\/eb026538","volume":"28","author":"CW Cleverdon","year":"1972","unstructured":"Cleverdon, C.W.: On the inverse relationship of recall and precision. J. Doc. 28, 195\u2013201 (1972). doi: 10.1108\/eb026538","journal-title":"J. Doc."}],"container-title":["International Journal of Data Science and Analytics"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s41060-017-0051-4\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s41060-017-0051-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s41060-017-0051-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,27]],"date-time":"2022-07-27T09:06:35Z","timestamp":1658912795000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s41060-017-0051-4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,4,7]]},"references-count":50,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2017,12]]}},"alternative-id":["51"],"URL":"https:\/\/doi.org\/10.1007\/s41060-017-0051-4","relation":{},"ISSN":["2364-415X","2364-4168"],"issn-type":[{"value":"2364-415X","type":"print"},{"value":"2364-4168","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,4,7]]}}}