... 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...
... risk 473
Ian F Godsland
37. Androgens: Studies in animal models of atherosclerosis 487
Peter Alexandersen
38. Androgens and blood pressure in men 501
Guy Lloyd
39. Androgens and arterial disease ... Ogata and Hirano,
52
not sufficiently
acknowledged by the Europeans and Americans,
found in 1934 that the androgen from the urine
(Butenandt’s androsterone) was not identical with
the androgen ... weak urinary
5α-reduced androgen comes from ‘andro’ = male,
‘ster’ = sterol, and ‘one’ = ketone. The chemical syn-
thesis of androsterone was performed by Leopold
Ruzicka and co-workers 3 years...
... and collect data from
the inpatient record.
2. Recording Data
a. Manual
Data entered on work sheets and later processed is designated as manual
data entry. A worksheet often is provided anddata ... the original data from which they are ob-
tained. The kind and extent of data collected and the uses made of the data vary
from one health care institution to another. Data compiled and compared ... aid data entry but serve to store and retrieve increasing amounts
of data. Just as accurate and adequate data is of utmost importance, it is also im-
portant to avoid collecting unnecessary data. ...
... transport and network, and so it was much harder
(and eventually impossible) to get IETF to accept OSI transport and network.
Managing NFS and NIS
13
1.3.1 Datagrams and packets
IP deals with data ... deals with data in chunks called datagrams. The terms packet and datagram are often used
interchangeably, although a packet is a data link-layer object and a datagram is network layer
object. ... appearance
and transparent in the way files anddata are shared.
NIS provides a distributed database system for common configuration files. NIS servers
manage copies of the database files, and NIS...
... at
work in the chemical recovery process can be found in Smook, Handbook for
Pulp and Paper Technologists, 2nd Edition, 1992 and will not be discussed
here. The kraft chemical recovery process ... environmental and health concerns about dioxins, U.S. pulp mills
now use elemental chlorine free (ECF) and total chlorine free (TCF)
bleaching technologies. The most common types of ECF and TCF are ...
Pulp and Paper Industry Introduction, Background, and Scope
However, pulp and paper are commodities and therefore prices are vulnerable
to global competition. Countries such as Brazil, Chile, and...
... be used and from the
Preface
XVI
- Object-oriented data representation to facilitate data standardization anddata
integration by the embodiment of metadata anddata operations into data
structures;
- ... sharing of dynamic, multi-authored data sets, and parallel
posting and retrieval of data;
- Remote sensing and GIS to facilitate spatial data visualization and acquisition;
- Animation to facilitate ... to provide high-speed data access and processing
and large internal storage (RAM), and to facilitate high speed simulations;
- Internet and www to facilitate interactive and online simulation...
... 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...