tokyo webmining統計学部 第2回
TRANSCRIPT
- 1. 1
2. 2011324 Webhttp://ianalysis.jp/ 2-2-15 Twitter@iAnalysisLLC Facebook http://www.facebook.com/ianalysis 2 3. Ph.D (2011), Statistician, Data Scientist, Data Miner cDNA R, SAS, SPSS, Visual C++, Ruby on Rails, Python 2005NPO (SAS) (R) 20072009 QOL 20092010 2010 2011iAnalysis Twitter: @isseing333 blog: http://d.hatena.ne.jp/isseing333/ 3 4. TokyoWebmining 4 5. I TokyoWebmining II h"p://d.hatena.ne.jp/isseing333/20110608/13075408935 6. 1. 2. 3. 4. 5. 6. 7. 8. 9.EDA 10. 11. 6 7. 1.IR 2.IIperlrubypython 3.IRDBMS 4.IInoSQLHadoop 5.web 6. 7.IHadoopMahout 8.II 9. 10. 7 8. 1. 2. 3. 4. A/B 5. 6. 7. 8. 9. 8 9. 1. 2. 3. 4. 5. 6. 7. 8. 9 10. 10h"p://ianalysis.jp/company/role.html 11. SVM 11 12. 12 13. Neural Network (NN) : (from Wikipedia) () o NN13 14. ( ) 1 1 22 3 31. 1. 2. 2. 3. 3. 4. 4. 14 15. () 1234 15 16. 3 1 0 or 1 0 or 10 or 1 0 or 1 0 or 12 0 or 10 or 1 0 or 1 0 or 13 0 or 10 or 1 0 or 14 0 or 10 or 1 (01?)()(0/1) ()) 16 17. () () 1 =0=01=2=00 0 1 =0=2 = (0, 1, 1) =10=0 1 = 1 =2 =1=5 1=2 2 =11 =3 1 =3 =2 =1 =10=0 =2=5 1 3 =1 1 (0, 1, 1)1 =33 =1=5=31 17 18. 2 =0 0 1 =0 =2=1 0 =0 0=2 =1 =5 1 =2 2 =1 0=3 1=3 =2 =1 =10=0 =2 =5 03 =0 0=31 = (0, 1, 0) = 0 3 =0 0 1 =1 =2=1 0 =0 0=2 =1 =5 0 =2 2 =0 0=3 0=3 =2 =1 =10=0 =2 =5 03 =0 0=31 = (1, 0, 0) = 0 18 19. 3=1 11 =1=2=1 1 =0 1=2 =1 =5 0 =2 2 =0 1=3 0=3 =2 =1 =11=0 =2 =5 03 =0 0=33 = (1, 0, 0) (@) 1 19 20. ()NN 1 (0, 1, 1) 1 1 OK 2 (0, 1, 0) 0 0 OK 3 (1, 0, 0) 1 0 NG!! () 3(1, 0, 0) 1 1 OK 20 21. () () () =0 0 1 =1=2 0=1 0 1 =01(=1-0)=2 =1 =5 0=2 2 =00=3 0=3 =2=1 =10=0 =2 =5 03 =0 0=3 21 22. (OCR) 0/1 etc 22 23. 0/1 23 24. 24 25. 2 () () () () 1. 25 26. 26 27. x y x>0 y>0 (x, y) (x1, x2, x3 ,, xn )n 27 28. 2 y() (x0, y0)y0y1 () (x1, y1)0x0 x1 x 2 y y()() 0 x 0 x 1: xy(0) 2: xy28 29. yy 0x 0 x1: xy(0)2: xy 29 30. y 0 x () 30 31. y 0 x 31 32. (NN) ,,,,, y yy xxx (NN y0x 32 33. SVM NN y0 x NN 33 34. SVM = SVM SVM y y 0 0xX 23 34 35. SVM 23 y 0 X 23 3 35 36. SVM Vector SVM SVM() Dr. Vladimir Vapnik (5) 36 37. http://www.slideshare.net/hamadakoichi/introduction-torandomforest-tokyor Hadoop+Mahout https://cwiki.apache.org/conuence/display/MAHOUT/Algorithms Jubatus http://research.preferred.jp/2011/10/jubatus/ 37