... instruments
for each level of maturity can be customized for individual companies. This cus-
tomization opportunity makes Strategic Planning for Project Management Using
a Project Management Maturity ... of both what is
good for the project and what is good for the organization.
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STRATEGIC
PLANNING FOR
PROJECT
MANAGEMENT USING
A PROJECT
MANAGEMENT
MATURITY ... project manager, top management is taking more responsibil-
ity for driving the company’s project management strategies.
This book is the result of studying project management efforts in hundreds
of...
... future research efforts will be focused on conduct-
ing a rigorous experimental performance evaluation, inves-
tigating alternative methods for determining reevaluation
points for Phase II, and ...
Project management is a tool that is used by many compa-
nies to help improve performance and competitiveness.
Projects and their execution, in general, require resources.
Project management, ... To what extent should the activities be crashed?
2371
A DYNAMIC CRASHING METHOD FOR PROJECT MANAGEMENT
USING SIMULATION-BASED OPTIMIZATION
Michael E. Kuhl
Radhamés A. Tolentino-Peña...
... with hypovolemic shock and compartment syndrome. Use of transpul-
monary thermodilution techniquefor volume management Scandinavian
Journal of Trauma, Resuscitation and Emergency Medicine 2010, ... gold standard for assessment of cardiac index and sys-
temic vascular resistance index. However, there is
increasing data that pulmonary artery wedge pressure is
not appropriate for assessment ... Therefore, annual surveillance for
multiple myeloma in patients with SCLS should be rec-
ommended.
In conclusion the reported case shows the importance
of extended hemodynamic monitoring for volume...
... that, on a technical level, the datamining effort is working and
the data is reasonably accurate. This can be quite comforting. If the data and
the datamining techniques applied to it are powerful ... resolve these issues. Datamining can help make more informed
decisions. It can suggest tests to make. Ultimately, though, the business needs
What Is Data Mining?
Data mining, as we use the ... 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...
... patient data from two UK sites.
25
Data, Information and Knowledge
information for decision- making. This general problem has appeared also in information theory, where
some tools for its ... eld is being born,
called data engineering. One of the essential notions of data engineering is metadata. It is data about
data , i.e., a data description of other data. As an example we can ... components. Therefore
information can be dened as data that has been transformed into a meaningful and useful form for
specic human beings.
Communications from which we learn about the information...
... Akeel Al-Attar, 1998, DataMining – Beyond Algorithms’, http://www.attar.com/tutor /mining. htm.
[2] Berry, J. A. Michael; Linoff, Gordon, 1997, DataMining Techniques: For Marketing, Sales, and
Customer ... of Data Set
(training and test set)
Filling the
empty cells
MUSAFinal Analysis
Is the Data Set
Complete?
Yes
No
Selection of complete
questionnaires
CUSTOMER SATISFACTION USINGDATA MINING
TECHNIQUES
Nikolaos ... utility functions for multi-
criteria decision-making: The UTA method’, European Journal of Operational Research, 10, pp.151-
164.
[6] Meidan A., 1998, ‘A datamining application for issuing predictions,...
... prepare the data set formining to best expose
the information contained in it to the mining tool. Indeed, the whole purpose formining
data is to transform the information content of a data set ... various scales, and transforming information. The concept of information is
crucial to data mining. It is the very substance enfolded within a data set for which the
data set is being mined. ...
0.625
2.5 Transformations and Difficulties—Variables, Data, and
Information
Much of this discussion has pivoted on information—information in a data set, information
content of...
... execution data is in its
“raw” form, and the model works only with prepared data, it is necessary to transform the
execution data in the same way that the training and test data were transformed. ... activities.
Data Issue: Representative Samples
A perennial problem is determining how much data is needed for modeling. One tenet of
data mining is “all of the data, all of the ... prepared, the next
step is to prepare data sets, which is to say, to consider the data as a whole.)
Data Set Issue: Reducing Width
Data sets formining can be thought of as being...
... understand
the data.
Once the assay is completed, the miningdata set, or sets, can be assembled. Given
assembled data sets, much preparatory work still remains to be done before the data is ... the data is the place to start. So what is the “hare” in data? The hare
is the information content enfolded into the data set. Just as hare is the essence of the
recipe for Jugged Hare, so information ... variables also needs to be considered.
In every datamining application, the data set used formining should have some
underlying rationale for its use. Each of the variables used should have...