An attribution model establishes relationships between the set of core attributes that have
been identified and enables visualization of a proper solution for the problem that is being
addressed.
The attribution analysis process facilitates proper searching for attribute collection that
best depicts the organization??™s future services.
The attribute section activity enables the categorization of an attribute collection into sweet
and hot spot groups.
Endnotes
1. Jiawei Han and Micheline Kamber, Data Mining: Concepts and Techniques, 2nd ed., 2006, Morgan Kaufmann,
San Francisco, p. 329.
2. Ian H. Witten and Eibe Frank, Data Mining: Practical Machine Learning Tools and Techniques, 2nd ed., 2005,
Morgan Kaufmann Publications, San Francisco, p. 292.
3. Ibid.
CHAPTER 5
CONCEPTUAL SERVICE IDENTIFICATION
In 1956, a book by Jerome S. Bruner, Jacqueline J. Goodnow, and George A. Austin, A Study of
Thinking, was published.1 This was a significant innovation in the field of psychology in which
human learning abilities were explored. Their research chiefly centered on the aspects of object
categorization and associations, and the authors examined the methods by which humans are able
to establish taxonomies from knowledge and information. These studies would later influence
major disciplines in computer science, and particularly affect machine learning methodologies
and practices.
Their experiments focused on methods used to classify concepts and also contributed to
the understanding of how ideas are generalized and transformed into higher levels of abstractions.
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