hearst m untangling text data mining
Data warehuose and data mining
Ngày tải lên :
18/01/2013, 16:15
... m nh xử lý cao
DSS (desion-support systems): hệ thống hỗ trợ đưa ra quyết
định có tính lãnh đạo của tổ chức, với các dữ liệu có m c độ
phức tạp và quan trọng
Data mining: kh m phá, t m ki m ... kh m phá tri thức KDD
5/12/200917
DM là 1 bước
quan trong
trong qui trình
KDD
Knowledge
1
2
3
4
5
Data cleaning
Data warehouse
Task relevant data
Data mining
Pattern Evaluation
selection
Data ... gian
9
•
Data
•
Time
•
01/97
•
02/97
•
03/97
•
Data for January
•
Data for February
•
Data for March
•
Data
•
Warehouse
5/12/2009
Ổn Định
•
Là lưu trữ vật lý của dữ liệu được chuyển đổi từ m i trường...
- 36
- 480
- 0
Data Mining - Chapter 2
Ngày tải lên :
23/01/2013, 22:17
... liệu g m n m trị số quan trọng:
median, Q1, Q3, trị lớn nhất, và trị nhỏ nhất (theo thứ tự: Minimum,
Q1, Median, Q3, Maximum).
43
2.6. Thu gi m dữ liệu
Tập dữ liệu được biến đổi đ m bảo ... liệu (merge
data) từ nhiều nguồn khác nhau vào m t kho dữ liệu
Biến đổi dữ liệu (data transformation): chuẩn hoá dữ liệu
(data normalization)
Thu gi m dữ liệu (data reduction): thu gi m kích ... dữ liệu
Chuẩn hóa (normalization)
min-max normalization
z-score normalization
Normalization by decimal scaling
Các giá trị thuộc tính được chuyển đổi vào m t
miền trị nhất định được...
- 57
- 728
- 19
Data mining
Ngày tải lên :
17/02/2013, 16:08
... hiện nhiều lưu đồ) cùng m t lúc trong stream, hoặc m m t stream
m i . Trong m t phiên, stream được lưu trữ trong thanh managers , ở phía trên bên phải của cửa
sổ Clementine.
1.2 Các Palette ... TPHCM 24
Hình 5.3: Bảng tùy chọn neural
Model:
Model name: Tên m hình
Use partitioned data: Sử dụng dữ liệu phân vùng
Method: Phương pháp. Có sáu phương pháp để xây dựng m hình m ng ... partition data: phân vùng dữ liệu
Mode. phương pháp được sử dụng để xây dựng m hình.
General model: m hình m c định
Launch interactive session :cho phép bạn xây dựng các cây của bạn m t cấp tại m t...
- 40
- 768
- 10
Data Mining Tutorial
Ngày tải lên :
04/03/2013, 14:32
... split
•
Multiply p-value by 49
•
Bonferroni – original idea
•
Kass – apply to data mining (trees)
•
Stop splitting if minimum p-value is large.
•
For m splits, logworth becomes
-log
10
(m* p-value)
... “leaves” or “terminal nodes”
•
Ideal split: Everyone with BP>x has
problems, nobody with BP<x has
problems
proc reg data= life;
model age=line;
run;
Parameter Estimates
Parameter Standard
Variable ... BP
Import
Additional Ideas
•
Forests – Draw samples with replacement
(bootstrap) and grow multiple trees.
•
Random Forests – Randomly sample the
“features” (predictors) and build multiple
trees.
•
Classify...
- 102
- 599
- 3
data-miningppt378
Ngày tải lên :
04/03/2013, 14:32
... DB
The performance studies show its efficiency and scalability
2
Chapter 1. Introduction
Motivation: Why data mining?
What is data mining?
Data Mining: On what kind of data?
Data mining functionality
Are ... E, F
13
Data Mining: A KDD Process
Data mining: the core of
knowledge discovery
process.
Data Cleaning
Data Integration
Databases
Data
Warehouse
Task-relevant Data
Selection
Data Mining
Pattern ... useful) information or patterns
from data in large databases
Alternative names:
Data mining: a misnomer?
Knowledge discovery (mining) in databases (KDD),
knowledge extraction, data/ pattern...
- 31
- 301
- 1
data-mining-tutorial
Ngày tải lên :
04/03/2013, 14:32
... 0
Regression computes wi
from data to minimize
squared error to ‘fit’ the
data
Not flexible enough
8
© 2006 KDnuggets
Related Fields
Statistics
Machine
Learning
Databases
Visualization
Data Mining ... Yes
rain mild high false Yes
rain cool normal false Yes
rain cool normal true No
overcast cool normal true Yes
sunny mild high false No
sunny cool normal false Yes
rain mild normal false Yes
sunny mild ...
classifier method?
10
© 2006 KDnuggets
Knowledge Discovery Process
flow, according to CRISP-DM
Monitoring
see
www.crisp-dm.org
for more
information
Continuous
monitoring and
improvement is
an...
- 89
- 594
- 2
hash-based approach to data mining
Ngày tải lên :
15/04/2013, 21:33
... some parameter from
user, for instance: minsup, minconf, numbers of rules we consider…
Experimental environment:
- Hard ware: HP computer, 3.4GHz, 1GB Ram.
- Database: simulation data from ... the most
important matters is “to shorten run time” when database become bigger and
bigger. Furthermore, we look for algorithms only using minimum required
resources but are doing well when database ... implement.
3.2 Implement
Now, we will consider the system. That is easy to see that, nowadays, the
commerce is more and more developed, more and more stores, shops, markets
and supermarkets have...
- 47
- 566
- 0
Data mining and medical knowledge management cases and applications
Ngày tải lên :
16/08/2013, 16:24
... decision making process. The book tackles the notion of
knowledge (in the domain of medicine) from two different points of view: data mining and knowledge
management.
Knowledge Management (KM) comprises ... semantic (meaning), and pragmatic (goal) components. Therefore
information can be dened as data that has been transformed into a meaningful and useful form for
specic human beings.
Communications ... of the fact that discrimination information (15) is not symmetric.
Let us mention fundamental properties of the discrimination information.
Theorem 4. Discrimination information I(P, Q) is nonnegative;...
- 465
- 631
- 2
CUSTOMER SATISFACTION USING DATA MINING TECHNIQUES
Ngày tải lên :
22/10/2013, 09:15
... implementation of the two methodologies may offer a solution
to the problem of missing data, in the initial data set.
KEYWORDS: Rule-Induction Data Mining, Customer Satisfaction Measurement, Multicriteria
Analysis
INTRODUCTION
Customer ... 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, and
Customer Support’, ... family of criteria).
Preliminary Consumer Behavorial Analysis
(Consistent family of criteria)
Development of questionnaire
Survey
MUSA
Data Mining
Search Engines
Rule Induction Engine
Data Mining...
- 4
- 642
- 0
Data Preparation for Data Mining- P3
Ngày tải lên :
24/10/2013, 19:15
... there is more to the use of the term than simply a collection
of individual measurements. Data, at least as a source for mining, implies that the data
points, the values of the measurements, ... time are also monotonic. Social security numbers, record numbers,
invoice numbers, employee numbers, and many, many other such indicators are
monotonic. The range of such categorical or nominal ...
limit in ability to discriminate a difference in temperature.
2.4 Scale Measurement Example
As an example demonstrating the different types of measurement scales, and the
measurements...
- 30
- 437
- 0
Data Preparation for Data Mining- P4
Ngày tải lên :
24/10/2013, 19:15
... www.verypdf.com to remove this watermark.
problems with the shape of the manifold, it may be possible to manipulate the data to
ameliorate some of them. The survey is not concerned with manipulating data, ...
Data Issue: Representative Samples
A perennial problem is determining how much data is needed for modeling. One tenet of
data mining is “all of the data, all of the time.” That ... will be built from the same source data set, and at the same
time. But whatever modifications are made to one data set to prepare it for modeling must
also be made to any other data set. This...
- 30
- 442
- 0
Data Preparation for Data Mining- P5
Ngày tải lên :
29/10/2013, 02:15
... sets, can be assembled. Given
assembled data sets, much preparatory work still remains to be done before the data is in
optimum shape for mining. There remain many data problems to discover and ... necessary to sample the data
when building models. Many modeling processes require a set of data from which to build
the model and another set of data on which to test it. Some modeling processes, ... different systems, and the same thing may be represented by different
names in different systems. One data assay for a major metropolitan utility revealed that
almost 90% of the data volume was in...
- 30
- 403
- 0
Data Preparation for Data Mining- P6
Ngày tải lên :
29/10/2013, 02:15
... present in the sample
available to the miner can be accessed. In any limited number of instances there will be
some maximum and some minimum for each variable, including the monotonic variables. ... perfect
example of monotonic variables.
There are many other examples, such as serial numbers, order numbers, invoice
numbers, membership numbers, account numbers, ISBN numbers, and ... purchase PDF Split-Merge on www.verypdf.com to remove this watermark.
The consequence for determining variability of a variable is that the modeler must make
assumptions that meet the modeler’s needs....
- 30
- 404
- 0
Oracle 10g Data Mining Administrators Guide WW
Ngày tải lên :
04/11/2013, 12:15
... Native Model Export and Import
Data mining models can be moved between Oracle databases or schemas.
For example, data mining specialists may build and test data mining
models in a data mining ... users may not perform REMAP_SCHEMA
remappings.
A similar error occurs if MARY runs DBMS _DATA_ MINING. import_model
with a non-null schema remap setting:
Error=ORA-40223: data mining model import ... import data mining models from a dump file, you may choose one of the
two ways,
■
Run impdp to import all data mining models as well as other database
objects
■
Run DBMS _DATA_ MINING. import_model...
- 24
- 406
- 0
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
... Components
Oracle9i Data Mining has two 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 ... (JSR-73). JDM used design
elements from several evolving data mining standards, including the Object
Management Group’s Common Warehouse Metadata (CWM), the Data Mining
Group’s Predictive Model Markup ... Algorithm
Function Algorithm Parameter Default
Classification ABN MaximumNetworkFeatureDepth 10
MaximumNumberOfNetwork-
Features
10
MaximumConsecutivePruned-
NetworkFeatures
–1
MaximumBuildTime...
- 112
- 365
- 0
