Data Mining - Chapter 2
... tượng/thực thể discrepancies from inconsistent data representations 20 04/ 12/ 25 và 25 / 12/ 2004 Dữ liệu được ghi nhận không phản ánh đúng ngữ nghĩa cho các đối tượng/thực thể Ràng buộc khóa ... của nhà phân t ch dữ liệu cho việc nhận diện Điều ch nh dữ liệu không nhất quán bằng tay Các giải pháp biến đổi/chuẩn hóa dữ liệu tự động 30 2. 4. T ch hợp dữ liệu Phân t ch tương quan ... (correct data inconsistencies) T ch hợp dữ liệu (data integration): trộn dữ liệu (merge data) từ nhiều nguồn khác nhau vào một kho dữ liệu Biến đổi dữ liệu (data transformation): chuẩn hoá...
Ngày tải lên: 23/01/2013, 22:17
... relationships from the data, © 20 09 by Taylor & Francis Group, LLC 72 Multimedia Data Mining the literature to perform specific multimedia data mining tasks as exemplified in the subsequent chapters of ... illustrated © 20 09 by Taylor & Francis Group, LLC 98 Multimedia Data Mining FIGURE 3.6: Graphical model representation of the Hierarchical Dirichlet Process of discrete data. 3.5 Hierarchical Dirichlet ... model which attempts to learn a set of topics and sets of words associated with each topic, so that each document may be © 20 09 by Taylor & Francis Group, LLC 120 Multimedia Data Mining represented...
Ngày tải lên: 10/12/2013, 09:15
... the mining operations as they are executed. 1 .2 Oracle9i Data Mining Components Oracle9i Data Mining has two main components: ■ Oracle9i Data Mining API ■ Data Mining Server (DMS) 1 .2. 1 Oracle9i ... SQL/MM for Data Mining. JDM has also influenced these standards. Oracle9i Data Mining will comply with the JDM standard when that standard is published. 1 .2. 2 Data Mining Server The Data Mining ... Concepts 1-1 1 Basic ODM Concepts Oracle9i Data Mining (ODM) embeds data mining within the Oracle9i database. The data never leaves the database — the data, data preparation, model building, and...
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Tài liệu Data Mining Multimedia Soft Computin And Bioinformatics P2 pdf
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Tài liệu Data Mining Multimedia Soft Computin And Bioinformatics P1 pdf
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Data Mining: Data Lecture Notes for Chapter 2 Introduction to Data Mining potx
... %#$" & " '$" """ 1. 12. 216 .22 6 .25 12. 65 1 .22 .715 .22 5 .27 10 .23 Thickness LoadDistanceProjection of y load Projection of x Load 1. 12. 216 .22 6 .25 12. 65 1 .22 .715 .22 5 .27 10 .23 Thickness LoadDistanceProjection ... 1 2 3 5 5 7 8 15 10 4 A B C D E © Tan,Steinbach, Kumar Introduction to Data Mining 17 Chemical Data /0,1+1 © Tan,Steinbach, Kumar Introduction to Data Mining 25 Duplicate Data " – Major ... Tan,Steinbach, Kumar Introduction to Data Mining 20 Ordered Data '& Average Monthly Temperature of land and ocean © Tan,Steinbach, Kumar Introduction to Data Mining 27 Aggregation 78 78 9 – Data...
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data mining multimedia, soft computing, and bioinformatics - sushmita mitra, tinku acharya
... Classifiers 184 5 .2. 1 ID3 187 5 .2. 2 IBM IntelligentMiner 189 5 .2. 3 Serial PaRallelizable INduction of decision Trees (SPRINT) 189 5 .2. 4 RainForest 1 92 5 .2. 5 Overfitting 1 92 5 .2. 6 PrUning ... signal processing techniques with recent developments. We deal with multimedia data mining in Chapter 9. In this chapter we have discussed text mining, image mining, and Web mining issues. ... based on other multimedia datatypes do not exist. To make the data mining technology suc- cessful, it is very important to develop search engines in other multimedia datatypes, especially ...
Ngày tải lên: 08/04/2014, 12:45
Data Mining and Knowledge Discovery Handbook, 2 Edition part 130 doc
... map, 822 Category utility metric, 27 6 Causal networks, 949 Centering, 71 CHAID, 164 Chebychev metric, 27 0 Classifer crisp, 136 probabilistic, 136 Classification, 22 , 92, 191, 20 3, 22 7, 23 3, 378, ... 127 3 logistic, 97, 21 8, 22 6, 527 , 531, 5 32, 645, 647, 849, 850, 10 32, 1154, 120 0, 120 1, 120 5, 121 2, 127 3 stepwise, 189 Regression,linear, 647 Reinforcement learning, 401 Relational Data Mining, 887, ... (DEA), 968 Data management, 559 Data mining, 10 82 Data Mining Tools, 1155 Data reduction, 126 , 349, 554, 566, 615 Data transformation, 561, 615, 11 72 Data warehouse, 20 , 141, 1010, 1118, 1179 Database,...
Ngày tải lên: 04/07/2014, 05:21
Data Mining and Knowledge Discovery Handbook, 2 Edition part 1 pps
... communities. The field of data mining has evolved in several aspects since the first edition. Ad- vances occurred in areas, such as Multimedia Data Mining, Data Stream Mining, Spatio-temporal Data Mining, Sequences ... Media, LLC 20 05, 20 10 Library of Congress Control Number: 20 10931143 Dr. Lior Rokach Oded Maimon · Lior Rokach Editors Data Mining and Knowledge Discovery Handbook Second Edition 123 Contents 1 ... for Data Mining, logics for Data Mining, DM query languages, text mining, web mining, causal discovery, ensemble methods, and a great deal more. Part seven provides an in-depth description of Data...
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Data Mining and Knowledge Discovery Handbook, 2 Edition part 2 pptx
... Contents XI 24 Using Fuzzy Logic in Data Mining Lior Rokach 505 Part V Supporting Methods 25 Statistical Methods for Data Mining Yoav Benjamini, Moshe Leshno 523 26 Logics for Data Mining Petr ... Applications 57 Multimedia Data Mining 58 Data Mining in Medicine Nada Lavra ˇ c, Bla ˇ z Zupan 1111 59 Learning Information Patterns in Biological Databases - Stochastic Data Mining Gautam B. ... Software 65 Commercial Data Mining Software Qingyu Zhang, Richard S. Segall 124 5 66 Weka-A Machine Learning Workbench for Data Mining Eibe Frank, Mark Hall, Geoffrey Holmes, Richard Kirkby, Bernhard Pfahringer,...
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Data Mining and Knowledge Discovery Handbook, 2 Edition part 3 pptx
... the Data Mining part, where the focus is on the algorithmic aspects employed for each project: 5. Choosing the appropriate Data Mining task. We are now ready to decide on which type of Data Mining ... L. Rokach (eds.), Data Mining and Knowledge Discovery Handbook, 2nd ed., DOI 10.1007/978-0-387-09 823 -4_1, © Springer Science+Business Media, LLC 20 10 4 Oded Maimon and Lior Rokach 4. Data transformation. ... Data Mining: prediction and description. Prediction is often referred to as supervised Data Mining, while descriptive Data Mining includes the unsupervised and visualization aspects of Data Mining. ...
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Data Mining and Knowledge Discovery Handbook, 2 Edition part 4 ppsx
... mature techniques have been developed for mining rich data formats: • Data Stream Mining - The conventional focus of data mining research was on mining resident data stored in large data repositories. ... new methods for Multimedia Data Mining (Chapter 57). Multimedia data mining, as the name suggests, presumably is a combination of the two emerging areas: mul- timedia and data mining. Instead, the multimedia ... Intel- ligent Data Analysis, Volume 9, Number 2, 20 05b, pp 131–158. Rokach, L. and Maimon, O., Clustering methods, Data Mining and Knowledge Discovery Handbook, pp. 321 –3 52, 20 05, Springer. Rokach, L....
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Data Mining and Knowledge Discovery Handbook, 2 Edition part 5 pptx
... al., 20 01), regular expression matches and user-defined constraints (Cadot and di Martion, 20 03), filtering (Sung et al., 20 02) , and others (Feekin, 20 00, Galhardas, 20 01, Zhao et al., 20 02) . 2 Data ... experimental data set, 164 contain outlier 2 Data Cleansing 29 Table 2. 2. A part of the data set. An error was identified in record 199, field 14, which was not identified previously. The data elements ... correct data the usefulness of Data Mining and data warehousing is mit- igated. Thus, data cleansing is a necessary precondition for successful knowledge discovery in databases (KDD). 2. 2 DATA CLEANSING...
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Data Mining and Knowledge Discovery Handbook, 2 Edition part 6 ppt
... 35(4) :21 7 -22 3. Li, Z., Sung, S. Y., Peng, S., & Ling, T. W. A New Efficient Data cleansing Method. Pro- ceedings of Database and Expert Systems Applications (DEXA 20 02) ; 20 02 September 2- 6; ... Knowledge Discovery and Data Mining; 20 00 August 20 -23 ; Boston, MA. 29 0 -29 4. Levitin, A. & Redman, T. A Model of the Data (Life) Cycles with Application to Quality, Information and Software Technology 1995; ... Springer, 20 02, 178-196 Maletic, J. I. & Marcus, A. Data Cleansing: Beynod Integrity Analysis. Proceedings of The Conference on Information Quality (IQ2000); 20 00 October 20 -22 ; Massachusetts...
Ngày tải lên: 04/07/2014, 05:21
Data Mining and Knowledge Discovery Handbook, 2 Edition part 7 ppsx
... A, K A (1)={1,4,5}∩{1,3,6} = {1}, K A (2) = {2} ∩ {2, 4,6,8}∩ {2, 4, 5, 7} = {2} , K A (3)={3,7}∩{1,3,6} = {3}, K A (4)={1,4,5}∩ {2, 4,6, 8}∩ {2, 4, 5,7} = {4}, K A (5)={1,4,5}∩ {2, 4,5, 7} = {4,5}, K A (6)={6,7}∩ {2, 4,6,8}∩{1, 3, ... 96.6 no yes no 8 1 02. 6 yes yes yes Table 3. 12. Dataset Restricted to the Concept {1, 2, 4, 8}. Case Attributes Decision Temperature Headache Nausea Flu 1 100 .2 ? no yes 2 1 02. 6 yes yes yes 4 99.6 ... Foundations and New Directions in Data Mining, as- sociated with the third IEEE International Conference on Data Mining, Melbourne, FL, November 1 922 , 24 –30, 20 03A. Dardzinska A. and Ras Z.W....
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Data Mining and Knowledge Discovery Handbook, 2 Edition part 8 potx
... France, 20 02, 28 6 – 29 5 Yao Y.Y. On the generalizing rough set theory. Proc. of the 9th Int. Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing (RSFDGrC 20 03), Chongqing, China, ... then v n ≡ 1 m m ∑ i=1 ((x i − μ ) ·n) 2 = 1 m m ∑ i=1 θ 2 i (4 .2) and that along some other unit direction n is v n ≡ 1 m m ∑ i=1 ((x i − μ ) ·n ) 2 = 1 m m ∑ i=1 θ 2 i (n ·n ) 2 (4.3) Since (n ·n ) 2 = cos 2 φ , ... for all such directions, and we cannot hope to uncover such structure using one dimensional projections. −1 −0.8 −0.6 −0.4 −0 .2 0 0 .2 0.4 0.6 0.8 1 0 0 .2 0.4 0.6 0.8 1 1 .2 1.4 1.6 1.8 2 Fig. 4.1....
Ngày tải lên: 04/07/2014, 05:21
Data Mining and Knowledge Discovery Handbook, 2 Edition part 9 pdf
... differential entropy, H(y)=− p(y)log 2 p(y)dy = 1 2 log 2 (e (2 π ) d )+ 1 2 log 2 det(C y ) (4.6) This is maximized by maximizing det(C y )=det(WCW ) over choice of W, subject to the constraint ... dissimilarity between each pair of data points in the dataset (note that this measure can be very general, and in particular can allow for non- vectorial data) . Given this, MDS searches for a mapping ... we diagonalize Q rr ≡ A+A −1 /2 BB A −1 /2 ≡U Q Λ Q U Q , then the desired matrix of orthogonal column eigen- vectors is V mr ≡ A B A −1 /2 U Q Λ −1 /2 Q (4 .24 ) (so that K mm = V Λ Q V and...
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Data Mining and Knowledge Discovery Handbook, 2 Edition part 10 ppt
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Data Mining and Knowledge Discovery Handbook, 2 Edition part 11 pdf
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Data Mining and Knowledge Discovery Handbook, 2 Edition part 12 ppsx
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