Travelled to:1 × Canada
1 × Chile
1 × France
1 × Italy
1 × USA
1 × United Kingdom
Collaborated with:P.D.Bra E.Vasilyeva E.Knutov T.Calders W.M.P.v.d.Aalst G.Dekker J.Vleeshouwers S.Puuronen A.Tsymbal A.M.García G.H.L.Fletcher R.P.J.C.Bose I.Zliobaite C.Romero S.Ventura C.W.Günther A.Rozinat N.Trcka A.Tesanovic S.Verwer
Talks about:mine (5) adapt (4) student (3) process (3) data (3) hypertext (2) framework (2) assess (2) studi (2) case (2)
Person: Mykola Pechenizkiy
DBLP: Pechenizkiy:Mykola
Facilitated 1 volumes:
EdContributed to:
2014
20112010201020092009
200920082006Wrote 12 papers:
- HT-2014-Montes-GarciaBFP #adaptation #css #domain-specific language #hypermedia
- A DSL based on CSS for hypertext adaptation (AMG, PDB, GHLF, MP), pp. 313–315.
- CAiSE-2011-BoseAZP #concept #mining #process
- Handling Concept Drift in Process Mining (RPJCB, WMPvdA, IZ, MP), pp. 391–405.
- EDM-2010-RomeroVVP #mining #student #testing
- Class Association Rules Mining from Students’ Test Data (CR, SV, EV, MP), pp. 317–318.
- EDM-2010-VasilyevaPTKVB #framework #information management #personalisation #towards
- Towards EDM Framework for Personalization of Information Services in RPM Systems (EV, MP, AT, EK, SV, PDB), pp. 331–332.
- HT-2010-KnutovBP #adaptation #hypermedia
- Provenance meets adaptive hypermedia (EK, PDB, MP), pp. 93–98.
- HT-2010-KnutovBP10a #adaptation
- Adaptation and search: from Dexter and AHAM to GAF (EK, PDB, MP), pp. 281–282.
- EDM-2009-DekkerPV #case study #predict #student
- Predicting Students Drop Out: A Case Study (GD, MP, JV), pp. 41–50.
- EDM-2009-PechenizkiyTVAB #assessment #mining #online #process
- Process Mining Online Assessment Data (MP, NT, EV, WMPvdA, PDB), pp. 279–288.
- HT-2009-BraP #adaptation #framework #hypermedia
- Dynamic and adaptive hypertext: generic frameworks, approaches and techniques (PDB, MP), pp. 387–388.
- SAC-2009-CaldersGPR #mining #process #using
- Using minimum description length for process mining (TC, CWG, MP, AR), pp. 1451–1455.
- EDM-2008-PechenizkiyCVB #assessment #case study #mining #student
- Mining the Student Assessment Data: Lessons Drawn from a Small Scale Case Study (MP, TC, EV, PDB), pp. 187–191.
- SAC-2006-PechenizkiyPT #feature model #learning #reduction
- The impact of sample reduction on PCA-based feature extraction for supervised learning (MP, SP, AT), pp. 553–558.