Ryszard S. Michalski, and R. E. Stepp, ???Learning from Observation: Conceptual Clustering,??? Los Altos, CA:
TIOGA Publishing Co., 1983.
3. D. H. Fisher, ???A Hierarchical Conceptual Clustering Algorithm??? (Technical Report), 1985, Irvine, CA: University
of California, Department of Information and Computer Science.
4. Douglas H. Fisher and Jeffrey C. Schlimmer, ???Models of Incremental Concept Learning: A Coupled Research
Proposal,??? 1997, Computer Science Department, Vanderbilt University, Nashville, TN and Computer Science
Department, Carnegie Mellon University, Pittsburgh, PA.
5. Disjunctive and conjunctive service identification methods are based on Jerome S. Bruner, Jacqueline J. Goodnow,
and George A. Austin, A Study of Thinking, 1956, New York, Wiley.
CHAPTER 4
ATTRIBUTION ANALYSIS
When it comes time to define organizational solutions to problems that have arisen because of
market conditions, or business or technological events, it is necessary to come up with remedies to
tackle these enterprise concerns. Before embarking on solution implementations and constructing
services to deliver the right strategy for the organization, the following questions should be asked:
??? What are the business process and events that precede concept extraction for our project?
??? How can we extract concepts from business requirements?
??? How can we establish attributes that future services will be founded on?
??? Where do we start?
Industry practices to facilitate solutions to organizational concerns vary.
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