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Analysis Report
Prepared for: George Stamatopoulos, Geologist
Prepared by: Eirini Lygkoni, Data Engineer, datamine.it
6th December, 2008
Report number: 000-005
Analysis Report 000-0005
2
Executive Summary
Objective
The hereby report summarizes the results of the extended data mining analysis performed for a geologist. The initial data
provided regards a survey on seismology data, which served as the input for a bunch of advanced methodologies and
algorithms run to reveal underlying structure and patterns that reside as latent across the data. The paragraphs to follow
include, among others, a careful selection of the most significant out of these results, in terms of relevance, consistency
and accuracy. The results are presented in a comprehensible and easily digestible format, ready to support decision
making processes.
Goals
The analysis performed served a single goal: To extensively study the given data set in order to search for and find out
the most important of the rules and patterns hidden within the data. The study, eventually, contributes the shaping of
these patterns into usable knowledge, while putting focus on the given variables of specific interest.
Means
The tools and approaches used for extracting the underlying patterns out of the available data set lie in the conjunction of
Artificial Intelligence / Machine Learning and Statistics, an area commonly called Data Mining. The datamine.it team
leverages on extended research experience on the topic to utilize state-of-the-art tools and techniques and provide you
with the most insightful of the results, while yet in an absolutely familiar way.
Outcomes
Among the vast number of results occurred and the most significant out of them to be appeared throughout the report, a
sneak peek of the insights gained is provided here:
the earthquake’s depth was less than 10 km the magnitude of seismology was greater than 6.5 Ri