... entitled by Data Mining
address the need by presenting in- depth description of novel mining algorithms and
many useful applications.
The fi rst book (New Fundamental Technologies in Data Mining) is ... and Distributed Data Mining 43
Sujni Paul
Modeling Information Quality Risk
for Data Mining and Case Studies 55
Ying Su
Enabling Real-Time Business Intelligence
by S...
... clustering, statistical learning, association analysis,
andlinkmining,whichareallamongthemostimportanttopicsindataminingresearch
and development, as well as for curriculum design for related data mining, ... algorithms can promote data mining to
wider real-world applications, and inspire more researchers in data mining to further
explore these10 algorithms, including theirimpacta...
...
William Stallings
Data and Computer
Communications
Chapter 12
Congestion in
Data Networks
Allocating VCCs within VPC
All VCCs within VPC should experience similar
network ... restraint so end systems transmit as
fast as possible
Committed information rate (CIR)
Data in excess of this liable to discard
Not guaranteed
Aggregate CIR should not exceed physical data ......
... from complex data
• Data mining in a network setting
• Distributed data mining and mining multi-agent data
• Data mining for biological and environmental problems
• Data Mining process-related ... Developing a unifying theory of data mining
• Scaling up for high dimensional data and high speed data streams
• Mining sequence data and time series data
• Mi...
... proposed unified data mining life cycle. The first three processes of
unified data mining processes are the same as the cycle of data mining processes, i.e. data
gathering, data cleansing followed ... Multi-Step-Ahead
in the Brazilian Market Using Data Mining 219
José C. Reston Filho, Carolina de M. Affonso
and Roberto Célio L. de Oliveira
Chapter 11 Electricity Loa...
... Applications in Data Mining) is based on in-
troducing several scientifi c applications using data mining. Data mining is used for
a variety of purposes in both private and public sectors. Industries ... Gervilla
Dynamic Data Mining: Synergy
of Bio-Inspired Clustering Methods 397
Elena N. Benderskaya and Sofya V. Zhukova
Exploiting Inter-Sample Information and Exploring
V...
... them in actually better segmenting,
targeting, acquiring, retaining and maintaining a profitable customer base. Business
Intelligence and data mining techniques can also help them in identifying ... data mining for different business areas.
Foreign
exchange
Global Data Warehouse & Data Marts
Using Data Mining- Techniques for
Credit
Risk
Portfolio
Data...
... signal in
thepresenceofMC.
2. 2-D Direct Data Domain Algorithm
Consider a URA consisting of N × P equally spaced elements
with the spacing of d
x
in rows (in the x direction) and d
y
in
columns (in ... [13–16].
The approach is to adaptively minimize the interference
power while maintaining the array gain in the direction of
the signal. The sample support problem is eliminated by...