data mining classification techniques pdf
Data Mining Classification: Alternative Techniques - Lecture Notes for Chapter 5 Introduction to Data Mining pdf
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... (Status=Married) → No
© Tan,Steinbach, Kumar Introduction to Data Mining 44
Nearest Neighbor Classification
Problem with Euclidean measure:
–
High dimensional data
•
curse of dimensionality
–
Can produce ... Tan,Steinbach, Kumar Introduction to Data Mining 36
Instance Based Classifiers
Examples:
–
Rote-learner
•
Memorizes entire training data and performs
classification only if attributes of record ... “closest” points (nearest neighbors) for
performing classification
© Tan,Steinbach, Kumar Introduction to Data Mining 43
Nearest Neighbor Classification
Scaling issues
–
Attributes may have...
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Data Mining Classification: Basic Concepts, Decision Trees, and Model Evaluation Lecture Notes for Chapter 4 Introduction to Data Mining pptx
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... Tan,Steinbach, Kumar Introduction to Data Mining 3
Illustrating Classification Task
© Tan,Steinbach, Kumar Introduction to Data Mining 13
Apply Model to Test Data
Refund
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YES
NO
NO
NO
Yes ... Attributes
Training Data
Model: Decision Tree
© Tan,Steinbach, Kumar Introduction to Data Mining 8
Decision Tree Classification Task
Decision
Tree
© Tan,Steinbach, Kumar Introduction to Data Mining 35 ... trees
–
Accuracy is comparable to other classification
techniques for many simple data sets
© Tan,Steinbach, Kumar Introduction to Data Mining 9
Apply Model to Test Data
Refund
MarSt
TaxInc
YES
NO
NO
NO
Yes...
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CUSTOMER SATISFACTION USING DATA MINING TECHNIQUES
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22/10/2013, 09:15
... process.
REFERENCES
[1] Akeel Al-Attar, 1998, Data Mining – Beyond Algorithms’, http://www.attar.com/tutor /mining. htm.
[2] Berry, J. A. Michael; Linoff, Gordon, 1997, Data Mining Techniques: For Marketing, Sales, ... of Data Set
(training and test set)
Filling the
empty cells
MUSAFinal Analysis
Is the Data Set
Complete?
Yes
No
Selection of complete
questionnaires
CUSTOMER SATISFACTION USING DATA MINING
TECHNIQUES
Nikolaos ... Analysis
(Consistent family of criteria)
Development of questionnaire
Survey
MUSA
Data Mining
Search Engines
Rule Induction Engine
Data Mining Global
Satisfaction Predicction
Satisfaction
Functions
Patterns...
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Tài liệu Multimedia Data Mining 3 pdf
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... dependence relationships from the data,
© 2009 by Taylor & Francis Group, LLC
72 Multimedia Data Mining
the literature to perform specific multimedia data mining tasks as exemplified
in the ... LLC
Statistical Mining Theory and Techniques 111
Maximum margin learning has been studied extensively in the recent ma-
chine learning literature due to the important multimedia data mining appli-
cations ... present
we take this data set as the training data; the training data set represents
the correct classification that we would like an SVM to eventually perform,
by means of separating the data with a hyperplane,...
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Tài liệu CUSTOMER SATISFACTION USING DATA MINING TECHNIQUES ppt
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... BASED DATA MINING TECHNIQUES
The objective of data mining is to extract valuable information from one’s data, to discover the ‘hidden
gold’. In Decision Support Management terminology, data mining ... one search for patterns of information in data (Parsaye, 1997).
Figure 2: Rule Induction process
Data mining techniques are based on data retention and data distillation. Rule induction models ... process.
REFERENCES
[1] Akeel Al-Attar, 1998, Data Mining – Beyond Algorithms’, http://www.attar.com/tutor /mining. htm.
[2] Berry, J. A. Michael; Linoff, Gordon, 1997, Data Mining Techniques: For Marketing, Sales,...
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Tài liệu Data Preparation for Data Mining- P11 pdf
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...
Series data are modeled either to discover the effects of time or to look at how the data
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used for nonseries data ... main underlying “heartbeat” in the data. Smooth and
filter until it seems clear. Extract it from the data.
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... optimized mining toolset, could not deal with a multiterabyte, 7000+
variable data set required on one mining project.
Another reason that high dimensionality presents difficulties for mining...
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Tài liệu Data Preparation for Data Mining- P14 pdf
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...
Figure 11.10 At least two data sets are used when modeling: an input data set
(left) and an output data set (right).
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11.4.1 Confidence and Sufficient Data
A data set may be inadequate for mining purposes simply because it does not truly
represent the population. If a data set doesn’t represent the population ... purchase PDF Split-Merge on www.verypdf.com to remove this watermark.
Novelty detectors can also be used with enormously large data sets to help extract a more
representative sample than the techniques...
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Tài liệu Wiley - Data Mining with Microsoft SQL Server 2008 (2009)01 pdf
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... Implementing a Data Mining Process Using Office 2007 187
Introducing the Data Mining Client 188
Importing Data Using the Data Mining Client 189
Data Exploration and Preparation 190
Discretizing Data with ... Data
Mining 413
Mining Aggregated Data 414
OLAP Pattern Discovery Needs 415
OLAP Mining versus Relational Mining 415
Building OLAP Mining Models Using Wizards and Editors 417
Using the Data Mining ... 584
Exploring New Data Mining Frontiers and Opportunities 585
Further Reference 586
Microsoft Data Mining 586
General Data Mining 586
Appendix A: Data Sets 589
MovieClick Data Set 589
Voting Records Data...
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