David Hume, A Treatise of Human Nature, 1739??“1740, ebooks@Adelaide University, Adelaide, Australia,
found on (http://etext.library.adelaide.edu.au/h/hume/david/h92t/ )
11. Ryszard S. Michalski and Kenneth A. Kaufman, ???Data Mining and Knowledge Discovery: A Review of Issues
and a Multistrategy Approach???, 1997, p. 7.
12. http://en.wikipedia.org/wiki/Machine learning
13. Douglas H. Fisher, Knowledge Acquisition Via Incremental Conceptual Clustering, 1987, Kluwer Academic
Publishers, Boston, pp. 140??“172.
PART THREE
SERVICE-ORIENTED DISCOVERY AND
ANALYSIS
Imagine a world where nothing goes wrong, all projects are executed on time and on budget, and
management is completely satisfied with the final results. In such an environment, it may also
be the case that the complexity levels of initiatives are low and the execution is straightforward.
This is the kind of world in which we all want to live.
However, convoluted computing environments in which business and technology operations
are arduous to control and manage are unfortunately commonplace. We live in challenging
times. Our legacy systems have developed a dependency on the supporting infrastructure, middleware,
peer applications, services, and consumers. Discovery and analysis practices must tackle
the complex relationship formations that our assets have established during the past few decades.
These challenges emerged from the software dependencies dictated by traditional software design
practices.
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