data mining for business intelligence concepts techniques and applications pdf
Microsoft Data Mining integrated business intelligence for e commerc and knowledge phần 1 pdf
Ngày tải lên :
08/08/2014, 22:20
... Performance measurement 54
2.12 Collaborative data mining: the confluence of data mining
and knowledge management 55
3 Data Mining Tools and Techniques 59
3.1 Microsoft’s entry into data mining ... of data mining 11
Chapter 1
Data mining allows for additional leverage of operational data and asso-
ciated data collections in data marts and data warehouses. There is no short-
age of raw data ... assembling the data mart;
best practices in preparing data for analysis (includes best prac-
tices in data assembly for data mining) . Techniques for integrat-
ing data preparation with Microsoft database...
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Scanning Microscopy for Nanotechnology Techniques and Applications pdf
Ngày tải lên :
27/06/2014, 10:20
... electron guns have been used for more than 70 years, and their reliabil-
ity and low cost encourage their use in many applications, especially for low mag-
nification imaging and x-ray microanalysis ... spectrum before analysis although it contains
information that is essential to the proper understanding and quantification of the
emitted spectrum. More about characteristic x-rays for nanostructure ... engineer, and manipulate nanomaterials in-situ SEM. Scanning
Microscopy for Nanotechnology should be a useful and practical guide for nano-
material researchers as well as a valuable reference book for...
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Báo cáo hóa học: " Research Article Exponential Inequalities for Positively Associated Random Variables and Applications" pdf
Ngày tải lên :
21/06/2014, 22:20
... Inequalities for Positively Associated
Random Variables and Applications
Guodong Xing,
1
Shanchao Yang,
2
and Ailin Liu
3
1
Department of Mathematics, Hunan University of Science and Engineering, ... real numbers such that c
n
→∞
and unsup
i ≥1
j:j−i ≥n
CovX
i
,X
j
. Also, for convenience, we define X
ni
by X
ni
X
i
for
1 ≤ i ≤ n and X
ni
0fori>n,andlet
X
1,i,n
−
c
n
2
I
−∞,−c
n
/2
X
ni
... inequalities. Shao and Yu
2 generalized later the previous results. Recently, Ioannides and Roussas 3 established
aBernstein-Hoeffding-type inequality for stationary and positively associated random vari-
ables...
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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
â Tan,Steinbach, Kumar Introduction to Data ... {}
Original Database:
Projected Database
for node A:
For each transaction T, projected transaction at node A is T ∩ E(A)
© Tan,Steinbach, Kumar Introduction to Data Mining 48
Rule Generation for ... 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...
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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) ... Counting:
ã
Make a new pass over the sequence database D to find the support
for these candidate sequences
Candidate Elimination:
ã
Eliminate candidate k-sequences whose actual support is less ... has zero mean and variance 1 under null hypothesis
2
2
2
1
2
1
'
n
s
n
s
Z
+
=
àà
© Tan,Steinbach, Kumar Introduction to Data Mining 3
Handling Categorical Attributes
Transform categorical...
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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: ... 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
... 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 ... © Tan,Steinbach, Kumar Introduction to Data Mining 27
ROCK (RObust Clustering using linKs)
Clustering algorithm for data with categorical and Boolean
attributes
–
A pair of points is ... 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...
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investigative data mining for security and criminal detection 2003
Ngày tải lên :
04/06/2014, 13:16
... etc., data sources, as well as tools for preparing and integrating them.
Unfortunately, data is usually housed in databases for applications other than data mining; it is
commonly stored for processing, ... the
data mining analysis. In this chapter we will discuss the closed and open sources of data available
both online and offline and how to integrate and prepare the data prior to its analysis.
Data ... voicemail, and e-mail. Coupled with data mining techniques, this
expanded ability to access multiple and diverse databases will allow the expanded ability to predict
crime.
Security and risk involving...
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Tài liệu Best Practices and Techniques for Building Secure Microsoft® ASP.NET Applications pdf
Ngày tải lên :
15/01/2014, 15:59
... Corporation
JoeStag@Microsoft.com
JoeStag@Microsoft.com
www.ManagedCode.com
www.ManagedCode.com
Best Practices and
Best Practices and
Techniques for Building
Techniques for Building
Secure Microsoft
Secure Microsoft
đ
đ
ASP.NET
ASP.NET
Applications
Applications
So Why This ... session state
For DPAPI, consider user vs. machine store
For DPAPI, consider user vs. machine store
For forms authentication, <machineKey> must be the same for each computer
For forms authentication, ... design
Creating secure Web applications is a series of complex tasks
Creating secure Web applications is a series of complex tasks
Promote best techniques for security
Promote best techniques for security
Let...
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No starch press object oriented PHP concepts techniques and code
Ngày tải lên :
24/01/2014, 15:45
... between a data member and a user programmer in the
same way that the front end of a database mediates between a user and the
data. Controlled access to the data simplifies how a class is used and, ... result, requiring users to log in and
implementing controls on the way in which data are formatted. For instance,
you may want dates stored in a particular format and enforce this through
the use ... this.
When properly ordered and created, a directory and its subdirectories
can function like a database and its tables; in fact, for some databases, a table
is a directory and its contents.
If...
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