data mining techniques and applicationsa decade review from 2000 to 2011
Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management - Second Edition
Ngày tải lên :
07/04/2014, 11:16
... 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 enough to discover ... used to sort a list of customers from
most to least loyal or most to least likely to respond or most to least likely to
default on a loan.
The data mining process is sometimes referred to as ... of Data Mining 33
Table 2.1 Data Mining Differs from Typical Operational Business Processes
TYPICAL OPERATIONAL SYSTEM DATA MINING SYSTEM
Operations and reports on Analysis on historical data...
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high performance data mining scaling algorithms, applications, and systems
Ngày tải lên :
01/06/2014, 09:18
... Sutiwaraphun, J., To, H.W., and
Yang, D. Large scale data mining: Challenges and responses. Proc. of the Third Int’l Conference on Knowledge
Discovery and Data Mining.
Goil, S., Alum, S., and Ranka, ...
performance and wide area data mining systems for over ten years. More recently, he has
worked on standards and testbeds for data mining. He has an AB in Mathematics from
Harvard University and a ... start
-
up, developing data mining technologies for
application to targeted email marketing. Prior to this, he was a researcher at Hitachi’s data mining research labs.
He did his B. Tech. from Indian...
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Data Mining Concepts and Techniques phần 1 potx
Ngày tải lên :
08/08/2014, 18:22
... chapter.
Links to data mining data sets and software. We will provide a set of links to data
mining data sets and sites containing interesting data mining software pack-
ages, such as IlliMine from the ... Cattell and Douglas K. Barry
Data on the Web: From Relations to Semistructured Data and XML
Serge Abiteboul, Peter Buneman, and Dan Suciu
Data Mining: Practical Machine Learning Tools and Techniques ... 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 Together:...
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Data Mining Concepts and Techniques phần 2 ppsx
Ngày tải lên :
08/08/2014, 18:22
... and Transformation
Data mining often requires data integration—the merging of data from multiple data
stores. The data may also need to be transformed into forms appropriate for mining.
This section ... the data. These
tools rely on parsing and fuzzy matching techniques when cleaning data from multiple
sources. Data auditing tools find discrepancies by analyzing the data to discover rules
and ... discrepancy detection and
data transformation.
Data integration combines data from multiple sources to form a coherent data store.
Metadata, correlation analysis, data conflict detection, and the resolution...
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Data Mining Concepts and Techniques phần 3 docx
Ngày tải lên :
08/08/2014, 18:22
... tools for data warehousing can be
categorized into access and retrieval tools, database reporting tools, data analysis tools, and
data mining tools.
Business users need to have the means to know ... 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 ... reasons:
High quality of data in data warehouses: Most data mining tools need to work
on integrated, consistent, and cleaned data, which requires costly data clean-
ing, data integration, and data transformation...
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Data Mining Concepts and Techniques phần 4 potx
Ngày tải lên :
08/08/2014, 18:22
... data
mining. Descriptive data 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, ... mined from transactional data.
Suppose, however, that rather than using a transactional database, sales and related
information are stored in a relational database or data warehouse. Such data stores ... levels. Data
generalization approaches 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. ...
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Data Mining Concepts and Techniques phần 5 ppt
Ngày tải lên :
08/08/2014, 18:22
... resorting. SPRINT was designed to be easily parallelized, further
contributing to its scalability.
While both SLIQandSPRINThandle disk-resident data sets thatare too large to fit into
memory, the scalabilityof ... becomes inefficient due to swapping of the training tuples in
and out of main and cache memories. More scalable approaches, capable of handling
training data that are too large to fit in memory, are ... initialized to small random num-
bers (e.g., ranging from −1.0 to 1.0, or −0.5 to 0.5). Each unit has a bias associated with
it, as explained below. The biases are similarly initialized to small random...
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Data Mining Concepts and Techniques phần 6 ppt
Ngày tải lên :
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 ... data in preparation for classification and prediction can involve
data cleaning to reduce noise or handle missing values, relevance analysis to remove
irrelevant or redundant attributes, and data ... difficult to control.
Ability to deal with noisy data: Most real-world databases contain outliers or missing,
unknown, or erroneous data. Some clustering algorithms are sensitive to such data
and may...
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Data Mining Concepts and Techniques phần 7 ppsx
Ngày tải lên :
08/08/2014, 18:22
... telecommu-
nications data, transaction data from the retail industry, and data from electric power
grids. Traditional OLAP and data mining methods typically require multiple scans of
the data and are therefore ... simple and structured data sets, such as data in relational
databases, transactional databases, and data warehouses. The growth of data in various
complex forms (e.g., semi-structured and unstructured, ... be extended to mine such
patterns efficiently.
8
Mining Stream, Time-Series,
and Sequence Data
Our previous chapters introduced the basic concepts and techniques of data mining. The techniques
studied,...
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Data Mining Concepts and Techniques phần 8 potx
Ngày tải lên :
08/08/2014, 18:22
... substructures.
9. Metadata mining. Metadata are data about data. Metadata provide semi-structured
data about unstructured data, ranging from text and Web data to multimedia data-
bases. It is useful for data ... what window size to use, and CpG islands tend to vary in length.
What if, instead, we merge the two Markov chains from above (for CpG islands and
non-CpG islands, respectively) and add transition ... domains. Metadata mining can
be used for schema mapping (where, say, the attribute customer
id from one database
is mapped to cust number from another database because they both refer to the
9.2...
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Data Mining Concepts and Techniques phần 9 pot
Ngày tải lên :
08/08/2014, 18:22
... are closely linked to image
analysis and scientific data mining, and thus many image analysis techniques and scien-
tific data analysis methods can be applied to image data mining.
The popular ... data, and computer
tomography. It is important to explore datamining inraster or image databases.Methods
for mining raster and image data are examined in the following section regarding the
mining ... multimedia data mining focuses on image data mining.
Mining text data and mining the World Wide Web are studied in the two subsequent
638 Chapter 10 Mining Object, Spatial, Multimedia, Text, and Web Data
where...
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