Data Mining and Knowledge Discovery Handbook, 2 Edition part 6 ppt
Data Mining and Knowledge Discovery Handbook, 2 Edition part 6 ppt
... Data Warehousing and Knowledge Discovery; 20 02 September 04- 06; 170-180. Hernandez, M. & Stolfo, S. Real-world Data is Dirty: Data Cleansing and The Merge/Purge Problem, Data Mining and Knowledge ... Headache Nausea Flu 1 100 .2 yes no yes 2 1 02. 6 yes yes yes 3 99 .2 no no no 4 99 .6 yes yes yes 5 99.8 yes yes no 6 96. 4 yes no no 7 96. 6 no yes no 8 99...
Ngày tải lên: 04/07/2014, 05:21
Data Mining and Knowledge Discovery Handbook, 2 Edition part 3 pptx
... of data (though of different types and reliability). The internet and intranet fast development in particular pro- O. Maimon, L. Rokach (eds.), Data Mining and Knowledge Discovery Handbook, 2nd ... understanding phenomena from the data, analysis and prediction. The accessibility and abundance of data today makes Knowledge Discovery and Data Mining a matter o...
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Data Mining and Knowledge Discovery Handbook, 2 Edition part 5 pptx
... analyze, and investigate such very large data sets has given rise to the fields of Data Mining (DM) and data warehousing (DW). Without clean and correct data the usefulness of Data Mining and 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 no...
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Data Mining and Knowledge Discovery Handbook, 2 Edition part 10 ppt
... latter can be reduced to O(hm 2 logm) where h is a heap size (Silva and Tenenbaum, 20 02) . Landmark Isomap simply employs land- mark MDS (Silva and Tenenbaum, 20 02) to addresses this problem, ... are sparse and can therefore be eigendecomposed efficiently. 72 Christopher J.C. Burges m ∑ i=1 ˆ y i −y i 2 = 1 2 m ∑ i=1 ˆ x i −x i 2 = 1 2 m ∑ i=1 p ∑ a=1 λ a ˜e (i )2...
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Data Mining and Knowledge Discovery Handbook, 2 Edition part 20 ppt
... 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. and Maimon, O., Data mining for ... for Data Mining, Proc. 22 nd Int. Conf. Very Large Databases, T. M. Vijayaraman and Alejandro P. Buchmann and C. Mohan and Nandlal L. Sarda (eds), 544-555, Morg...
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Data Mining and Knowledge Discovery Handbook, 2 Edition part 24 ppt
... definitions of Data Mining as there are treatises on the sub- ject (Sutton and Barto, 1999, Cristianini and Shawe-Taylor, 20 00, Witten and Frank, 20 00,Hand et al., 20 01,Hastie et al., 20 01,Breiman, 20 01b,Dasu ... 20 01b,Dasu and Johnson, 20 03), and associated with Data Mining are a variety of names: statistical learning, machine learning, reinforcement learning,...
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Data Mining and Knowledge Discovery Handbook, 2 Edition part 25 pptx
... Criminology and Public Policy, 2, No. 2: 21 5 -24 2. Breiman, L., Friedman, J.H., Olshen, R.A., and C.J. Stone, (1984) Classification and Regres- sion Trees. Monterey, Ca: Wadsworth Press. Breiman, L. (19 96) ... Learning 26 : 123 -140. Breiman, L. (20 00) “Some Infinity Theory for Predictor Ensembles.” Technical Report 522 , Department of Statistics, University of California, Berkele...
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Data Mining and Knowledge Discovery Handbook, 2 Edition part 38 pptx
... association rules. Data Mining and Knowledge Discovery, 2( 2):195 22 4, 1998. T. Mitchell. Generalization as search. Artificial Intelligence, 18 (2) :20 3 22 6, 1980. R. Ng, L. V. Lakshmanan, J. Han, and A. Pang. ... IDEAS’01, pages 322 – 329 , 20 01. C. Bucila, J. E. Gehrke, D. Kifer, and W. White. Dualminer: A dual-pruning algorithm for itemsets with constraints. Data Mini...
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Data Mining and Knowledge Discovery Handbook, 2 Edition part 61 pptx
... % 1 10, 3 26 9,9 72 0 354 99. 72 30K 12s. 2 11,751 0 10,000 1,751 100 3 7, 923 28 0 7,895 78.95 1 103,331 99, 868 0 3, 463 99. 86 300K 56s. 2 117 ,29 7 0 100,000 17 ,29 7 100 3 79,3 72 1 32 0 79 ,24 0 79 .24 1 1,033,795 ... 1,033,795 998 ,6 32 0 35, 163 99. 86 3M 485s. 2 1,1 72, 895 0 999,999 173,8 96 99.99 3 793,310 1, 368 0 791,9 42 79.19 1 10,335, 024 9,9 86, 110 22 348,...
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Data Mining and Knowledge Discovery Handbook, 2 Edition part 65 ppt
... in Data Mining 62 1 31.3.1 Association Rules Interestingness Measures Let LHS → RHS be an association rule. Further we refer to the left hand side and the right hand side of the rule as LHS and ... P and P c matrices respectively. The CPCC are between −1 and 1. A value of the index close to 1 is an indication of a significant similarity 31 Quality Assessment Approaches in Data...
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