... Statistical DataMining 666
11.3.3 Visual and Audio DataMining 667
11.3.4 DataMiningand Collaborative Filtering 670
11.4 Social Impacts of DataMining 675
11.4.1 Ubiquitous and Invisible DataMining ... object-relational databases and
specific application-oriented databases, such as spatial databases, time-series databases,
text databases, and multimedia databases. The challenges andtechniques of mining ... Reference Data in Enterprise Databases: Binding Corporate Data to the Wider World
Malcolm Chisholm
Data Mining: Conceptsand Techniques
Jiawei Han and Micheline Kamber
Understanding SQL and Java...
... 97
2.7
Summary
Data preprocessing is an important issue for both data warehousing anddata 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 dataand skewed data. Multidimensional data
of more than ... (inclusive).
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...
... processing, and data
mining. We also introduce on-line analytical mining (OLAM), a powerful paradigm that
integrates OLAP with datamining technology.
3.5.1 Data Warehouse Usage
Data warehouses anddata ... 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), anddatamining (which supports knowledge discovery).
OLAP-based datamining is referred to as OLAP mining, or...
... 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 datamining ... 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...
... 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...
... SQL/MM for Data Mining. JDM has also influenced these
standards. Oracle9i DataMining will comply with the JDM standard when that
standard is published.
1.2.2 DataMining Server
The DataMining ...
viii
Basic ODM Concepts 1-1
1
Basic ODM Concepts
Oracle9i DataMining (ODM) embeds datamining within the Oracle9i database.
The data never leaves the database — the data, data preparation, ... main components:
■
Oracle9i DataMining API
■
Data Mining Server (DMS)
1.2.1 Oracle9i DataMining API
The Oracle9i DataMining API is the component of Oracle9i DataMining that
allows users to...
... of techniques to
apply in a particular situation depends on the nature of the datamining task,
the nature of the available data, and the skills and preferences of the data
miner.
Data mining ... By data mining, of
course!
How DataMining Was Applied
Most datamining 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 datamining effort is working and
the data is reasonably accurate. This can be quite comforting. If the dataand
the dataminingtechniques applied to it are powerful...