It presented mechanisms that could categorize and
programmatically partition entities without human intervention??”entities described as objects,
observations, data, abstractions, and other concepts. Michalski??™s research was driven by three
rudimentary principles that made it possible to classify entities and treat abstractions:
1. Grouping and classification activities, which resulted in formations of related entities or
abstractions
2. An attribution process that called for the inspection and evaluation of entity descriptions,
which he called ???attributes???
3. Examination of entity relationships and commonalities, which enabled successful partitioning
of abstractions
70 Part Two Service-Oriented Conceptualization
Michalski??™s proposal picked up steam during the 1980s and nurtured the development
of several branches of computer science, especially in the fields of data mining and knowledge
discovery and classification. These advanced methods were pioneered by Michalski and
Stepp,2 Fisher,3 and other scientists. They presented new practical and approaches to discover
concepts by utilizing tree searching4 and navigation mechanisms. They also devised innovative
approaches for categorizing and relating entities by employing searching rules, and enhanced
abstraction grouping methods by proposing superior clustering mechanisms. These collaborative
contributions enhanced the process for refining ideas into formalized abstractions.
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