data mining concepts and techniques pdf free download
Data Mining Classification: Alternative Techniques - Lecture Notes for Chapter 5 Introduction to Data Mining pdf
Ngày tải lên :
15/03/2014, 09:20
... by R1
© Tan,Steinbach, Kumar Introduction to Data Mining 36
Instance Based Classifiers
Examples:
–
Rote-learner
•
Memorizes entire training data and performs
classification only if attributes ... $10K to $1M
© Tan,Steinbach, Kumar Introduction to Data Mining 40
1 nearest-neighbor
Voronoi Diagram
© Tan,Steinbach, Kumar Introduction to Data Mining 38
Nearest-Neighbor Classifiers
Requires ... r*
and r’
•
Choose rule set that minimizes MDL principle
–
Repeat rule generation and rule optimization
for the remaining positive examples
© Tan,Steinbach, Kumar Introduction to Data Mining...
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Oracle Data Guard Concepts and Administration
Ngày tải lên :
26/10/2013, 22:15
... Physical Standby and Cascaded Remote Physical Standby C-5
C.3.2 Local Physical Standby and Cascaded Remote Logical Standby C-5
C.3.3 Local and Remote Physical Standby and Cascaded Local Logical Standby ... is applied to the standby database.
A standby database can be one of two types: a physical standby database or a
logical standby database. If needed, either type of standby database can assume ... Physical and Logical Standby Databases
■
New Features Specific to Physical Standby Databases
■
New Features Specific to Logical Standby Databases
New Features Common to Physical and Logical Standby Databases
The...
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Oracle9i Data Mining Concepts Release 9.2.0.2 October 2002 Part No. A95961-02 Oracle9i Data
Ngày tải lên :
06/11/2013, 01:15
... 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 ...
viii
Basic ODM 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, ... main components:
■
Oracle9i Data Mining API
■
Data Mining Server (DMS)
1.2.1 Oracle9i Data Mining API
The Oracle9i Data Mining API is the component of Oracle9i Data Mining that
allows users to...
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AN INTRODUCTION TO KANT’S AESTHETICS: Core Concepts and Problems pdf
Ngày tải lên :
16/03/2014, 14:20
... Switzerland, England, and Germany,
especially on Wolff and Baumbarten (pp. 198–231). Bäumler sees the task of aesthetics
(and of teleology) in explaining the individual and its irrationality and ... the understanding in judgments” and the so-called “cat-
egories,” or concepts of pure understanding.” Kant has introduced these cat-
egories of the understanding in the first Critique, and he uses ... things,
Amber, musk, incense and myrrh,
That sing the ecstasies of spirit and of sense.
(Translation by
Joseph Swann and C. H. Wenzel)
concept, purpose, or aim, and, therefore, neither is free. But beauty...
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More Advanced Linear Programming Concepts and Methods pdf
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23/03/2014, 04:20
... ($M) => 180 100 80 50 7 20 $356
Formatted Problem and LP Solution For Power Gen Inc.
1
Ch 12: More Advanced Linear
Programming Concepts and
Methods
Applying Linear Programming to
Those Investments ... goals and constraints, and an
appreciation of Linear Programming methodology.
5
Explanations of the
‘Extension’ Ideas II.
Interdependent projects: projects may
provide mutual support and ... extensions include:
1. Allowing more activities and constraints
2. Recognizing indivisible investments
3. Allowing inter-year resource borrowings and
transfers
4. Recognizing interdependent projects
5....
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Ethics of Big Data: Balancing Risk and Innovation pdf
Ngày tải lên :
31/03/2014, 12:20
... “big data are based
on distinctions between the capabilities of legacy database technologies and new data
storage and processing techniques and tools such as Hadoop clusters, Bloom filters, and ... clusters, Bloom filters, and
R data analysis tools. Big data is data too big to be handled and analyzed by traditional
database protocols such as SQL (which makes
big data a term that may evolve ...
privacy, identity, reputation, and data ownership. The direct impact of failing to under
stand the complexities and nuance of the relationships between big -data technologies
and the people who use...
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Data Mining Association Analysis: Basic Concepts and Algorithms Lecture Notes for Chapter 6 Introduction to Data Mining pdf
Ngày tải lên :
15/03/2014, 09:20
... Specific-to-general
Data Mining
Association Analysis: Basic Concepts
and Algorithms
Lecture Notes for Chapter 6
Introduction to Data Mining
by
Tan, Steinbach, Kumar
© Tan,Steinbach, Kumar Introduction to Data ... to Data Mining 49
Effect of Support Distribution
Many real data sets have skewed support distribution
Support
distribution of
a retail data set
© Tan,Steinbach, Kumar Introduction to Data Mining ... may decouple the support and confidence requirements
© Tan,Steinbach, Kumar Introduction to Data Mining 16
Reducing Number of Comparisons
Candidate counting:
–
Scan the database of transactions...
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Tài liệu CUSTOMER SATISFACTION USING DATA MINING TECHNIQUES pdf
Ngày tải lên :
22/12/2013, 02:17
... cross cultural analysis
Managerial implications and recommendations
Style: scientific and statistical
-7-
18/01/2006
Ulrich Öfele
3. Methodology and Instruments:
Customer Satisfaction Survey ... service quality and enhance growth
through increased consumerism
-2-
18/01/2006
Ulrich Öfele
Overview
:
1. Authors and outline of the text
2. Research objectives
3. Methodology and Instruments
4. ... of same methods with which SatPers and
SatSett were originally derived
Restaurants: Burger King, Checkers, Kentucky Fried
Chicken, McDonald’s Taco Bell and Wendy’s (cross national)
Questions...
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Data Mining Classification: Basic Concepts, Decision Trees, and Model Evaluation Lecture Notes for Chapter 4 Introduction to Data Mining pptx
Ngày tải lên :
15/03/2014, 09:20
... Married 80K
?
10
Test Data
© Tan,Steinbach, Kumar Introduction to Data Mining 25
Splitting Based on Continuous Attributes
© Tan,Steinbach, Kumar Introduction to Data Mining 46
Tree Induction
Greedy ... 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
MarSt
TaxInc
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...
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Data Mining Association Rules: Advanced Concepts and Algorithms Lecture Notes for Chapter 7 Introduction to Data Mining docx
Ngày tải lên :
15/03/2014, 09:20
... Introduction to Data Mining 23
Multi-level Association Rules
How do support and confidence vary as we traverse
the concept hierarchy?
–
If X is the parent item for both X1 and X2, then
σ(X) ... 0.33 0.00 0.33
Normalize
© Tan,Steinbach, Kumar Introduction to Data Mining 31
Sequential Pattern Mining: Definition
Given:
–
a database of sequences
–
a user-specified minimum support threshold, ... found
–
Candidate Generation:
•
Merge pairs of frequent subsequences found in the (k-1)th pass to
generate candidate sequences that contain k items
–
Candidate Pruning:
•
Prune candidate k-sequences...
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Data Mining Cluster Analysis: Basic Concepts and Algorithms Lecture Notes for Chapter 8 Introduction to Data Mining pot
Ngày tải lên :
15/03/2014, 09:20
... clusters are irregular or intertwined,
and when noise and outliers are present.
6 density-based clusters
© Tan,Steinbach, Kumar Introduction to Data Mining 34
Handling Empty Clusters
Basic K-means ... Tan,Steinbach, Kumar Introduction to Data Mining 42
Limitations of K-means: Non-globular Shapes
Original Points
K-means (2 Clusters)
© Tan,Steinbach, Kumar Introduction to Data Mining 13
Types of Clusters: ... Kumar Introduction to Data Mining 5
Notion of a Cluster can be Ambiguous
How many clusters?
Four Clusters Two Clusters
Six Clusters
© Tan,Steinbach, Kumar Introduction to Data Mining 41
Limitations...
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Data Mining Cluster Analysis: Advanced Concepts and Algorithms Lecture Notes for Chapter 9 Introduction to Data Mining pot
Ngày tải lên :
15/03/2014, 09:20
... to Data Mining 11
Sparsification in the Clustering Process
© Tan,Steinbach, Kumar Introduction to Data Mining 22
Experimental Results: CHAMELEON
© Tan,Steinbach, Kumar Introduction to Data Mining ... Kumar Introduction to Data Mining 18
Experimental Results: CHAMELEON
© Tan,Steinbach, Kumar Introduction to Data Mining 16
Chameleon: Steps
Preprocessing Step:
Represent the Data by a Graph
–
Given ... cluster the data
is drastically reduced
–
The size of the problems that can be handled
is increased
© Tan,Steinbach, Kumar Introduction to Data Mining 35
SNN Clustering Can Handle Other...
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Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management - Second Edition
Ngày tải lên :
07/04/2014, 11:16
... of techniques to
apply in a particular situation depends on the nature of the data mining task,
the nature of the available data, and the skills and preferences of the data
miner.
Data mining ... By data mining, of
course!
How Data Mining Was Applied
Most data mining methods learn by example. The neural network or decision
tree generator or what have you is fed thousands and thousands ... that, on a technical level, the data mining effort is working and
the data is reasonably accurate. This can be quite comforting. If the data and
the data mining techniques applied to it are powerful...
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