Introduction into Analysis of Methods and Tools for Hypothesis-Driven Scientific Experiment Support.
|Author(s): || Kalinichenko L. A., Kovalev D. Y., Kovaleva D. A., Malkov O. Y.
|Published:||16th Russian Conference on Digital Libraries RCDL 2014 Proceedings. CEUR Workshop Proceedings 1297:104-123.
| Data intensive sciences (DIS) are being
developed in frame of the new paradigm of
scientific study known as the Fourth paradigm,
emphasizing an increasing role of
observational, experimental and computer
simulated data practically in all fields of
scientific study. The principal goal of data
intensive research (DIR) is an extraction
(inference) of knowledge from data.
The intention of this work is to make an
overview of the existing approaches, methods
and infrastructures of the data analysis in DIR
accentuating the role of hypotheses in such
research process and efficient support of
hypothesis formation, evaluation and selection
in course of the natural phenomena modeling
and experiments carrying out. An introduction
into various concepts, methods and tools
intended for effective organization of
hypothesis driven experiments in DIR is
presented in the paper.
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