data mining concepts models and techniques pdf download
Data Mining Concepts and Techniques phần 1 potx
Ngày tải lên :
08/08/2014, 18:22
... Foundations of Data Mining 665
11.3.2 Statistical Data Mining 666
11.3.3 Visual and Audio Data Mining 667
11.3.4 Data Mining and Collaborative Filtering 670
11.4 Social Impacts of Data Mining 675
11.4.1 ... object-relational databases and
specific application-oriented databases, such as spatial databases, time-series databases,
text databases, and multimedia databases. The challenges and techniques of mining ... Reference Data in Enterprise Databases: Binding Corporate Data to the Wider World
Malcolm Chisholm
Data Mining: Concepts and Techniques
Jiawei Han and Micheline Kamber
Understanding SQL and Java...
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Data Mining Concepts and Techniques phần 2 ppsx
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... 97
2.7
Summary
Data preprocessing is an important issue for both data warehousing and data mining,
as real-world data tend to be incomplete, noisy, and inconsistent. Data preprocessing
includes data cleaning, ... approximation of the original data.
PCA is computationally inexpensive, can be applied to ordered and unordered
attributes, and can handle sparse data and skewed data. Multidimensional data
of more than ... 2.3 Data Cleaning 65
2.3.3 Data Cleaning as a Process
Missing values, noise, and inconsistencies contribute to inaccurate data. So far, we have
looked at techniques for handling missing data and...
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Data Mining Concepts and Techniques phần 3 docx
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... processing, and data
mining. We also introduce on-line analytical mining (OLAM), a powerful paradigm that
integrates OLAP with data mining technology.
3.5.1 Data Warehouse Usage
Data warehouses and data ... Warehouse and OLAP Technology: An Overview
3.5
From Data Warehousing to Data Mining
“How do data warehousing and OLAP relate to data mining? ” In this section, we study the
usage of data warehousing ... Chapter 3 Data Warehouse and OLAP Technology: An Overview
data by OLAP operations), and data mining (which supports knowledge discovery).
OLAP-based data mining is referred to as OLAP mining, or...
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Data Mining Concepts and Techniques phần 4 potx
Ngày tải lên :
08/08/2014, 18:22
... include data cube–based data aggregation and attribute-
oriented induction.
From a data analysis point of view, data generalization is a form of descriptive data
mining. Descriptive data mining ... mining describes data in a concise and summarative manner
and presents interesting general properties of the data. This is different from predic-
tive data mining, which analyzes data in order to ... way, the
problem of mining frequent patterns in databases is transformed to that of mining the
FP-tree.
228 Chapter 5 Mining Frequent Patterns, Associations, and Correlations
databases. We begin...
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Data Mining Concepts and Techniques phần 5 ppt
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08/08/2014, 18:22
... to as training tuples and are selected from the database under analysis. In the
context of classification, data tuples can be referred to as samples, examples, instances,
data points, or objects.
2
Because ... scalability.
While both SLIQandSPRINThandle disk-resident data sets thatare too large to fit into
memory, the scalabilityof SLIQ islimited by the useof its memory-residentdatastructure.
SPRINT removes ... even for real-world data. RainForest has techniques, however, for handling
the case where the AVC-group does not fit in memory. RainForest can use any attribute
selection measure and was shown to...
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Data Mining Concepts and Techniques phần 6 ppt
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08/08/2014, 18:22
... functions
(Hanson and Burr [HB88]), dynamic adjustment of the network topology (Me´zard
and Nadal [MN89], Fahlman and Lebiere [FL90], Le Cun, Denker, and Solla [LDS90],
and Harp, Samad, and Guha [HSG90] ), and ... complexity (Laskey and Mahoney [LM97]),
have prompted the exploration of hierarchical and composable Bayesian models (Pfef-
fer, Koller, Milch, and Takusagawa [PKMT99] and Xiang, Olesen, and Jensen [XOJ00]).
These ... classification models.
6.16
Summary
Classification and prediction are two forms of data analysis that can be used to extract
models describing important data classes or to predict future data trends....
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DATA MINING IN BANKING AND FINANCE: A NOTE FOR BANKERS pdf
Ngày tải lên :
20/06/2014, 14:20
... Chun, Se-Hak and Kim, Steven, Data mining or financial prediction and trading: application
to single and multiple markets (2003)
ã J. M. Zytkow and W. Klửsgen, Handbook of Data Mining and Knowledge ... portfolio risk to market and credit risk
Models through data mining
9
Data mining techniques are used to discover hidden knowledge, unknown patterns
and new rules from large data sets, which ... their behaviour and interaction with
overall market. Many of this can only be built by using various data mining
1
J. M. Zytkow and W. Klösgen, Handbook of Data Mining and Knowledge Discovery....
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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
... and
export of PMML models for Naive Bayes and Association Rules models. PMML
Oracle9i Data Mining Components
Basic ODM Concepts 1-3
allows data mining applications to produce and consume models ... 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,...
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investigative data mining for security and criminal detection 2003
Ngày tải lên :
04/06/2014, 13:16
... 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 ... potential data
sources for
enhancing the value of an investigative data mining analysis. Users of data mining tools and
techniques from industries in financial services, retailing, marketing, and...
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NEW RESEARCH ON KNOWLEDGE MANAGEMENT MODELS AND METHODS pdf
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26/06/2014, 23:20
... market trends (local and global) in terms of adaptability to new and diverse
occupational and professional opportunities, and also mobility-mediated joint and
Analytical Models for Tertiary ... technology and the University cycle. This call
requires reflection on the meaning and purpose of models of management and academic
systems and curriculum, seeking to be consistent, relevant and proper ... Knowledge Management
Models and Methods” and includes 19 chapters. The focus is on the exploration and
coverage of the innovations of all knowledge management models and methods as
well as...
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Creating your MySQL Database: Practical Design Tips and Techniques pdf
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27/06/2014, 09:20
... enterprise
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table layout, the concepts such as primary key, unique key, data redundancy, and
data dependency are covered in this chapter.
Chapter 5 presents various techniques for improving our data structure ... constraints that must
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Table of Contents
[...
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Cytoskeletal Mechanics MODELS AND MEASUREMENTS pdf
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27/06/2014, 10:20
... might prove stimulating and educational to engineers, physicists,
and biologists wishing to expand their understanding of the critical importance of
mechanics in cell function, and the various ways ... MacKintosh
9 Cell dynamics and the actin cytoskeleton 170
James L. McGrath and C. Forbes Dewey, Jr.
10 Active cellular protrusion: continuum theories and models 204
Marc Herant and Micah Dembo
11 Summary ... actin and highly cross-linked. The
dynamics of actin polymerization and depolymerization is critical to migration and is
the focus of much recent investigation (see, for example Chapter 9 and Bindschadler,
Dewey,...
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