مقالات

PUBLICATION

  1. Alizadeh S, Norani A., ICMA a new efficient algorithm for process model discoverApplieIntelligence, 1-18, November 2018, Volume 48, Issue 11pp 4497–4514.
  2. N.Khajeali, S. Alizadeh, Extract critical factoraffecting thlength of hospital stay of pneumonia patient by datmining (case study an Iranian hospital)Artificial IntelligencinMedicineVolume 83 Issue C, Pages 2-13, 2017.
  3. Arasteh M, Alizadeh S A fast divisive community detection algorithm based on edge degree betweenness centrality, Applied Intelligence2018. . doi10.1007/s10489-018-1297-9.
  4. Mohammadi SF, Sabbaghi M, Z-Mehrjardi HHashemHAlizadeh S, Majdi M, Taee F.J, using artificiaintelligence tpredicthrisk for posterior capsule opacificatioaftephacoemulsification. Journal of Cataract and Refractive Surgery2012 Mar; 38(3):403-8. doi: 10.1016/j.jcrs.2011.09.036. Epub 2012 Ja11.
  5. Vahedian Khezerlou, A., Alizadeh, S., A new model for discovering process trees from event logs,Applied IntelligenceVolume 41 Issue 3, Page 725-735, 2014, doi: 10.1007/s10489-014-0564-7.
  6. Ahmadi, S., Forouzideh, N.Alizadeh, S., Papageorgiou, E., Learning Fuzzy Cognitive Maps using ImperialisCompetitivAlgorithmNeural Computing and ApplicationsVolum26Issu6, Pages,33313542015.
  7. Ghazanfari, M., Fathian, M., Alizadeh, S., Koulouriotis, D. E., Comparing simulated annealing and genetic algorithm ilearning FCM, Applied Mathematics and Computation 192(1):56-68, 2007, DOI: 10.1016/j.amc.2007.02.144.
  8. Alizadeh, S., Ghazanfari, M., Learning FCM by chaotic simulated annealingAugust 2009, Chaos Solitons & Fractal41(3):1182-1190, DOI: 10.1016/j.chaos.2008.04.058
  9. M. Ahmadlou, M. Karimi,S. AlizadehA. Shirzadi,D. Parvinnejhad,H. Shahabi,M. Panahi Flood susceptibility assessment using integration of adaptive network-based fuzzinference system (ANFIS) and biogeography-based optimization (BBOand BAT algorithm(BA)GeocartInternational, 2018, articlin pressDOI:10.1080/10106049.2018.1474276.
  10. Akhondzadeh-Noughabi, S Alizadeh, AAhmadvand, B Minaei-BidgoliFTiS: A new model for effective urban management: A case study of urban systemiIran, Cities31, 394-403. 2012.
  11. JafarMomtazNAlizadehSShariVaghefiM(2013new modefoassessmenfasfooCustomer behavioucasstudy:  AIranian fast‐foorestaurantBritish Food JournalVol115, Issue4pp.601-613https://doi.org/10.1108/00070701311317874.
  12. Barzinpour, F., Ali-AhmadiB.H.Alizadeh, S., JalalNaini, S.G., Clustering networks' heterogeneous datin defining a comprehensivcloseness centralitindex, Mathematical Problems in EngineeringVolume 2014, 10 pageshttp://dx.doi.org/10.1155/2014/202350.
  13. Asghari, M.Alizadeh, S., A new similaritmeasure by combining formal concept analysis and clustering focase-based reasoningLNCSvolum9101, Pages503513, 2015.
  14. Hachesu, P.R.AhmadiM.Alizadeh, S., Sadoughi, F., Use of datmining techniqueto determine and prediclength of stay of cardiac patients, Healthcare Informatics ResearchVolume 19 Issue 2, pages: 121-9, 2013, doi: 10.4258/hir.2013.19.2.121.
  15. Habibi, S., Ahmadi, M.Alizadeh, S., Type 2 Diabetes Mellitus screening and Risk FactorUsing Decision TreeResults of DatMiningGlobal journal of healtscience, 2015, Volume 18 Issue 7(5) Pages 304-10. DOI: 10.5539/gjhs.v7n5p304.
  16. AmeriHAlizadeh, S, BarzegarAIdentification of influencing factorfor hearattack in diabetic patients using C & R algorithmDaneshvar MedicineVolume 21, Issue 112, pages 71-82, 2014. (In Persian)
  17. AmeriHAlizadeh, S, BarzegarAKnowledgExtraction of DiabeticsData by Decision Tree Method, JournaoHealth AdministrationVolume 16 Issue 53, pp58-72, 2013. (In Persian)
  18. SharifkhaniM., Alizadeh, S., Abbasi, M., AmeriH. Providing a model for predicting the risk of osteoporosis using decisiotrealgorithms, JournaoMazandaran UniversitoMedical SciencesVolume 24, Issue 116, pp110-118, 2014. (In Persian)
  19. Dormohammadi, S. Alizadeh, S. Asghari, M. Shami, M.  Proposing a prediction model for diagnosing causes of infertility by datmining algorithms, Journal of Health Administration (JHA)Volume 17, Issue 57, pages 46-57, 2014. (In Persian)
  20. .AmeriHAlizadeh, S. Hadizadeh, M. Assessing the EffectoInfertility Treatment DrugUsing Clustering Algorithms and DatMining Techniquesthe journal of The journal ofMazandaran university of medical scienceVolume 24, Number 114, pp 26-35, 2013. (In Persian
  21. AghabeigiNAlizadeh, S. SaremiA.Developing an Improved clustering algorithm for using on Sarem Hospital infertility data, Industrial engineering & managementVolum31,1, Issue 2.2, 2015(In Persian)
  22. Safi, M, Alizadeh, S., Roghanian, E. A hybrimodel of data Envelopment Analysiand decision trefor efficiency evaluation of  Units-Case  study:  Tehran  Bus  Transit,  journal  of  Transportation ResearchVolume 11, Number 3 (40); Page(s) 253 To 263, 2014. (In Persian)
  23. Ebadi Jalal, M., Alizadeh, S, Analysiof customer behaviour in purchasing ansending online group SMS using datmining Based othRFM ModelIndustrial engineering & managementVolume 31,1, Issue 2.2, 2015. (In Persian)
  24. Shabanzadeh Gavasarai, M. Alizadeh, S., Farzanegan, P., Provide a model for analysing customer behaviour using datmining (The analysiof edible oiindustry)Industrial engineering & managementVolume 32,1, Issue 1.2, 2016. (In Persian)
  25. Ghazanfari, M, Malekmohamadi, S. Alizadeh,S. Fathollah, M, Customer Segmentation in  Clothing ExportBased on ClusterinAlgorithmIranian Journal of Trade Studie(IJTS)Volume 14 Issue 56, Pages: 59-86, 2010. (In Persian)
  26. Ghazanfari, M, Malekmohamadi, S. Alizadeh,S., Fathollah, M. foreigtrade customer of Iran ediblfruits marketIranian Journal of Trade Studie(IJTS)Volume 14 Issue 55, Pages: 151-181, 2010. (In Persian)
  27. Ghazanfari, M, Malekmohamadi, S. Alizadeh, S., Data-mining application for country segmentation based on the RFM modelInternational JournaoDatAnalysiTechniques and Strategies 1(2):126-140, 2008, DOI: 10.1504/IJDATS.2008.021114.
 


 Books & Book Chapters (Selected):

 

1.    Ameri,  H.,  Alizadeh,  S.  &  Akhond  Zadeh  Noughabi,  E.  (2017). Application of Data Mining Techniques in Medical Decision Making: A Literature Review and Classification.  In “Handbook oResearch on Data Science for Effective Healthcare Practice and Administration”, IGI Global.

2.  Ghazanfari, M., Alizadeh, S. Teimourpour, B., Data mining and knowledge discovery, Publications of the University of Science and Technology of Iran, 2011. (In Persian)

تاریخ به روز رسانی:
1398/02/08
تعداد بازدید:
460
كليه حقوق اين وب سايت متعلق به دانشگاه خواجه نصير الدين طوسي ميباشد.