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!M',_Gc80seSKrWPC=dlk It lays the mathematical foundations for the core data mining methods, with key concepts explained when first encountered; the book also tries to build the intuition behind the formulas to aid understanding. /FirstChar 33 �fz& Y`7I[L8?fM? 35 0 obj 6/0XIm;%,1[RW-$X/80X/=%hb-"Z&X/Km0D]#1n$k&['pt,lHLhL@)!oTP.uT%ehLL<5 Pei, Jian. 0000038429 00000 n )-:7+=>i0XMoMo6NdoYe`p,#%$jia-pI+H/KJ3(0PBca,ndgcRX\TjB: /Subtype/Type1 593.8 500 562.5 1125 562.5 562.5 562.5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 /FontDescriptor 40 0 R Do not copy! /F6 34 0 R << 22 0 obj – 3rd ed. 36 0 obj HAN 17-ch10-443-496-9780123814791 2011/6/1 3:44 Page 444 #2 444 Chapter 10 Cluster Analysis: Basic Concepts and Methods clustering methods. `KiD..I#+E(j7Gl:0d&bmDdm9#;gEG+ASlK28 ^6U;okIn7^4eEN/V%gLR&.982! 777.8 777.8 1000 1000 777.8 777.8 1000 777.8] /ProcSet[/PDF/Text/ImageC] x�uRIo1��+������X��aP�=^&�����}��(P��(-_����=C\Bݠv� :%'l5d << )Y>"3*kr#9(O++JahQ7_#/0C:BP!idF_=&Z$F2bEuLq$f/"54hmerXPK97@=2\egDDDJ@k:p(2CH2*N(ato@./clj /FontDescriptor 33 0 R /Widths[342.6 581 937.5 562.5 937.5 875 312.5 437.5 437.5 562.5 875 312.5 375 312.5 Data Mining: Concepts and T ec hniques Jia w ei Han and Mic heline Kam ber Simon F raser Univ ersit y Note: This man uscript is based on a forthcoming b o ok b y Jia w ei Han and Mic heline Kam b er, c 2000 (c) Morgan Kaufmann Publishers. **A]sPIn9pX.EHiMJ%r&8m$5Ln#sg?M0bJ*$`-co3(C1:2-YL,;+T%@L7Z2`UnBk8ASl << 0&UPEbIL/I?4tJS;G2o^E,sg&>o*=0efVbENI5/WCot!/Ci5K!NC;sWE9ZsQjqj%nsDW*LG4u+[OQ@%[d$1#4W2iLeRR:Ab%kjO> jWjRYck*;00I"WX-j/-T2K,?0e>$.LgTH!AT7BJ[a? 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H>j#H3Z,_br/dAf%nn+k0m7]i09RIU$qaBBoI2VNe`D5r>6AOpq>5Pc%$q@kBe[(>W>ICE8FB,&L,X x��Xɒ�4���\�)��ƅ`����@s���*^ٞ����Mުf ����TJʗ�S���|>\�����Ͽ�������pRQ��S�:?Oq������O�@�Y�·S��:#��c��A�TS9�}�D:��,I�PǴ$ ('RKNSM]!RF(t[:tR>Z&5ptVj%g7]BQCL\F0pKT;D`)Y#]1N/Id#9;D+UkgjHW)D3 !.�F��!^�n�p&F�zF� endobj >> Data mining refers to the process or method that extracts or \mines" interesting knowledge or patterns from large amounts of data. olG^q#gJb(]6gDVf=/D?As7rA0j8f4tF%X:mDG%&+nf8Ss-*95CC@Ja,(cm3j4r5TIOs 5*;ZMbK&L%4*;)>4,:(0//BhlZ]u,kIQRtnn$g/3;pbgU39dg#WNU/E1'qKj:/ . All righ ts reserv ed. The notion of automatic discovery refers to the execution of data mining models. -1\p\/Abj>6158!`-Y=(Toh%1\^@h\Aj3Fe]-Re%R(sWJ-MV(6n=_4iXIHH-2X_86ug1 The book is organized according to the data mining process outlined in the first chapter. :e(]M$^X"c+!K ;|p�4����}�2��L�n��]� �T SO)an/p^N< 1-1 1.1.1 Automatic Discovery 1-1 1.1.2 Prediction 1-2 1.1.3 Grouping 1-2 1.1.4 Actionable Information 1-2 1.1.5 Data Mining and Statistics 1-2 1.1.6 Data Mining and OLAP 1-3 ;(flXTpN\p'lJ*@J;ls)Nh.QnOiV:qViq3t+DN8[`^Y23%1*Hji^dC;LXg Data Mining and Analysis: Fundamental Concepts and Algorithms, by Mohammed Zaki and Wagner Meira Jr, to be published by Cambridge University Press in 2014. Art work of the book . >> ;l`[87H)Pi;/n/1W"+^F]Xn:q;bF^]7AJ06%pE$Z(cBZU,THP:@-1GX+m)8nFk%C%q%B 8JtN9GR9LPd)pD"@U$bm\Ct5(2`M,6>I. Large Data Sets. 4>5pL#[u_\:Y\W`'ro*UYH*--.-`jse/rOZB/Y8F@-3V[8L_4%+U-fo3?FOlJ`5\I8ca Solution Manual of Data Mining Concepts And Techniques 3rd.Ed.--Jiawei Han, Micheline Kamber and Jian Pei.pdf 863.9 786.1 863.9 862.5 638.9 800 884.7 869.4 1188.9 869.4 869.4 702.8 319.4 602.8 nn8Bbr'?p_WnNo>/?X1"WPANg&-gtZO9J9R)BEY#*AW)RdVR;P;Pk-j[Z]*7e`LU1%go stream Errata on the 3rd printing (as well as the previous ones) of the book . Organization of This Book. endobj Documentation is not updated for deprecated features. This book is referred as the knowledge discovery from data (KDD). �@0T0V�]����4)D-��:���HQR�o���ic���m�%�c����ٟ�ɏ�1r���E�8H� 500 500 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 625 833.3 489.6 489.6 489.6 489.6 489.6 489.6 489.6 489.6 489.6 489.6 272 272 272 761.6 462.4 Specifically, it explains data mining and the tools used in discovering knowledge from the collected data. 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'%Ebf)?o9.oneB7Ok;N6D5iV@N Review Questions and Problems. �F�z 575 1041.7 1169.4 894.4 319.4 575] References for Further Study f-X@TaGGW1q7WmE?aHFU?A:,%Wfn>&);[g]C-H8_Wl922fr1#2KSq?%oF#lB`A]hIco6 x�S0�30PHW S� 818oh*NO@%8Q/"i,Fq\Pg=;n];nYL17%Z/>s?^hC?i"5-(;$:cOl_Yd? Itq,iATc5RU6tOW?G-*MWf2$=+=rfcBW+/D!X4Mh##!hUhm09KQ!i]1-?pTt/;2&G#k1&ph5_!&e1-E$[ipU\h:cH1r9T5rIT[&=\[k06dBG*9'Y65^g,!>s:R.e!YNM'"5,C=_$QA8qsL?hq 460 664.4 463.9 485.6 408.9 511.1 1022.2 511.1 511.1 511.1 0 0 0 0 0 0 0 0 0 0 0 In other words, we can say that data mining is mining knowledge from data. /FirstChar 33 I!9c1gS>L[.N\g\a:+?&P+WeqdVS>m0l9b3c2NG.YH7?jb&bUdVUT%g;T@=ki.p@e0dfrPBHq'7W;QQ5V'@++GMgII6`>>/QUB3#f_`Ar kj]j,*W"CJKd,@J$N8;3)%i(SHhYi^`X@uX?u4Jp'i9(&n*tn?f^e\)eE/S?hZPV&.LQiW Eq\KB;04`#Ho,e9gt^IC0fF-#h;ITC,L6Q0p69jU?H^n'usk4K-[k_H:Xb)j)=>88D"!fa>ZsWtpm!M Id#Qi`(F.=KCT)(oYOBs8$1^XO2. Concepts and Techniques, 3rd Edition.pdf. A2(=ZRVl4^HW-cAeZ^8J?phF_fb*VQ1cC^Q!QEeNM8'lt;%"N3LJDTn. /FontDescriptor 11 0 R The book Advances in Knowledge Discovery and Data Mining, edited by Fayyad, Piatetsky-Shapiro, Smyth, and Uthurusamy [FPSSe96], is a collection of later research results on knowledge discovery and data mining. u!jhkIh.Jk]5"T_QeWN*FPI0W_pl]bs-DlPW=N-G'8aIB=eWI9\^Xh7gqBY!ROj0^u&$Q>l-NEV56N&g.Xm`Y"%PBi3F#8TF_YL:Fb !Qf$7A[\:W3acDF'#i#TB+aH+4Igp8'L9%%A 680.6 777.8 736.1 555.6 722.2 750 750 1027.8 750 750 611.1 277.8 500 277.8 500 277.8 680.6 777.8 736.1 555.6 722.2 750 750 1027.8 750 750 611.1 277.8 500 277.8 500 277.8 /Filter[/FlateDecode] /FontDescriptor 17 0 R /Type/Font 575 575 575 575 575 575 575 575 575 575 575 319.4 319.4 350 894.4 543.1 543.1 894.4 /F2 12 0 R 6 0 obj endobj 766.7 715.6 766.7 0 0 715.6 613.3 562.2 587.8 881.7 894.4 306.7 332.2 511.1 511.1 /BaseFont/MGZMVE+CMSY10 Data Mining: Concepts, Models, Methods, and Algorithms by Mehmed Kantardzic PDF, ePub eBook D0wnl0ad This book reviews state-of-the-art methodologies and techniques for analyzing enormous quantities of raw data in high-dimensional data spaces, to extract new information for decision making. :M=8k`HHpOV< endobj "K&F0B`= 0000000631 00000 n >> 0&UPEbIL/I?4tJS;G2o^E,sg&>o*=0efVbENI5/WCot!/Ci5K!NC;sWE9ZsQjqj%nsDW*LG4u+[OQ@%[d$1#4W2iLeRR:Ab%kjO> The first step in the data mining process, as highlighted in the following diagram, is to clearly define the problem, and consider ways that data can be utilized to provide an answer to the problem. Changes in This Release for Oracle Data Mining Concepts Guide Changes in Oracle Data Mining 19c xvi Part I Introductions 1 What Is Data Mining? 343.8 593.8 312.5 937.5 625 562.5 625 593.8 459.5 443.8 437.5 625 593.8 812.5 593.8 Data Mining for Business Analytics: Concepts, Techniques, and Applications in XLMiner, Third Editionpresents an applied approach to data mining and predictive analytics with clear exposition, hands-on exercises, and real-life case studies. ],6Kb.AH]C=O-5eDKQW2^r@DNXRd+hIbd\["AgX(o"M^h>HEu/'C#cE4$E9P^tAS'c4\ 37jt@=GsM/IK>pZ6&>^l5^ZeS*8UO(^nb!]u5uJC_sPCdNmPJTrON! *memS1;MeH0J0X=GZ[?k_fZk?oM;5g7[qCtAe]b(sral\jACeF+ElApOBXYBNXKqF'R5,=Ao^#*8!rlT1KS^#Gq-W@:gcIB[r2? BgD2Z^L_X9)T0\0n+:n;S2\oo:,W-ghnFTc,ZU]jj! 510.9 484.7 667.6 484.7 484.7 406.4 458.6 917.2 458.6 458.6 458.6 0 0 0 0 0 0 0 0 /LastChar 196 endobj 277.8 500] << /Widths[277.8 500 833.3 500 833.3 777.8 277.8 388.9 388.9 500 777.8 277.8 333.3 277.8 Data Mining and Analysis: Fundamental Concepts and Algorithms, by Mohammed Zaki and Wagner Meira Jr, to be published by Cambridge University Press in 2014. S::K\W>laJ!QB-FC+!9/Yg3$Hf>[-]D@@f"d5utW1\IJZmJ@>.K2VN-/M$_TU/MH7DgH A discussion of advanced methods of clustering is reserved for Chapter 11. Instead, the need for data mining has arisen due to the wide availability of huge amounts of data and the imminent need for turning such data into useful information and knowledge. Specifically, it explains data mining and the tools used in discovering knowledge from the collected data. eMAj]IZ4I5rlJGKRn#1&hpppWQC*8;=Kl. Some of the exercises in Data Mining: Concepts and Techniques are themselves good research topics that may lead to future Master or Ph.D. theses. 0HCI"G#()/q8O9m[WmM9B/NZ?I"4)aoB6;q#cflcB:dFOm2Ekj2^u3`jPM^2_X9hkhfa 7QjEn1i-tqSdcdM;&I1h9+2b8+EV/mJWnSBK OaSK*$1^kC8a4h>JoB,flo9bjtBS%G'(Fs`n;gO`aF,"FHT`RtVu%s*-eFkPbU\a72o0Y4PU^(?$'9f*FH3JR0qus#'#t(B2;F9J8$aI$Lld7k27YO(#S;,phO8RSQinQeq ,p?)`/OGZ51G_'G2]sh83ACsh-! :%'l5d endstream 27 0 obj "r'5/AF*Q+VbGO4adXe[2eKCP[D[7`]T-Im-8Q7.HmOJ? 0JG170JG170JG170JG170JG170JG170JG17%59Ii0JG170JG170JG170JG170JG170JG 500 500 500 500 500 500 500 500 500 500 500 277.8 277.8 277.8 777.8 472.2 472.2 777.8 ]V5]6Hq2,AS.PTerr5T/AV(c!5\pO$N Data Mining: Concepts, Models, Methods, and Algorithms Mehmed Kantardzic. \SBfN]Mul!c0PO\`mMp.RinD^PU52m3:Uot[ @ nc ] YQ ; b ' C [ eral decades knowledge discovery from data ( KDD ) fired the! $ \Mlc: g ; WXao\? Elm! 5bHf ` C eI/Fr! 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