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Applies the Chi Square method to determine the probability of similarity of data ... Threshold .1 with df=1 from Chi square distribution chart merge if X2 2.7024 ...
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Title: No Slide Title Author: Jiawei Han Last modified by: pwang Created Date: 6/19/1998 4:38:52 AM Document presentation format: (4:3)
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Title: CSE591 Data Mining Last modified by: Guozhu Dong Created Date: 9/30/1996 6:28:10 PM Document presentation format: On-screen Show Other titles
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In the case of the naive Bayes Classifier this can be simplified: In the case of the naive Bayes Classifier this can be simplified: Technical Hint: ...
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Data Preprocessing Chapter 2
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identifying duplicate records is not an easy task. merge-purge approach. Incomplete data ... Here fM and fN represent vectors of values of respective feature ...
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DS = Data source. DW = Data warehouse. DM = Data Mining. 11/15/09. DW/DM: Data Preprocessing ... DS. DS. DS. Data preprocessing is done here, In the Staging ...
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Assume you want to predict output Y which has arity nY and ... don't try to be maximally discriminative---they merely try to honestly model what's going on ...
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Adatok el feldolgoz sa Az adatok ltal nos jellemz se Az adatok alapvet statisztikai jellemz i Az adatok hasonl s g nak m r se Adattiszt t s
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numeric, categorical (see the hierarchy for its relationship) static, dynamic (temporal) ... Erroneous data (inconsistent, misrecorded, distorted) Raw data. 2/4/03 ...
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Data Mining: Concepts and Techniques Chapter 2 * Data Mining: Concepts and Techniques * ...
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Some classification algorithm only accept categorical attributes (LVF, ... Scott's Formula: W=3.5*s*n-1/3, where s is the standard deviation. Then k=(B-A)/n. ...
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Understand how to clean the data. Understand how to integrate and transform the data. Understand how to ... Data cub aggregation. Data compression. Regression ...
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2Professor, Department of Psychiatry. NSF Grant # 0555926 ... Objective: to develop a cost-effective condition monitoring approach to deliver ...
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