Extracting User-Centric Knowledge on Two Different Spaces: Concepts and Records
Created by W.Langdon from
gp-bibliography.bib Revision:1.7954
- @Article{Luna:2020:IEEEAccessB,
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author = "Jose Maria Luna and Philippe Fournier-Viger and
Sebastian Ventura",
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title = "Extracting User-Centric Knowledge on Two Different
Spaces: Concepts and Records",
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journal = "IEEE Access",
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year = "2020",
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volume = "8",
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pages = "134782--134799",
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month = "21 " # jul,
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keywords = "genetic algorithms, genetic programming, Evolutionary
Algorithms, Grammar-Based Genetic Programming,
Metaheuristics, Pattern Mining",
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ISSN = "2169-3536",
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URL = "https://ieeexplore.ieee.org/abstract/document/9145755",
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DOI = "doi:10.1109/ACCESS.2020.3010852",
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abstract = "The growing demand for eliciting useful knowledge from
data calls for techniques that can discover insights
(in the form of patterns) that users need.
Methodologies for describing intrinsic and relevant
properties of data through the extraction of useful
patterns, however, work on fixed input data, and the
data representation, therefore, constrains the
discovered insights. In this regard, this paper aims at
providing foundations to make the descriptive knowledge
that is extracted by pattern mining more user-centric
by relying on flexible data structures defined on two
different perspectives: concepts and data records. In
this sense, items in data can be grouped into abstract
terms through subjective hierarchies of concepts,
whereas data records can also be organized based on the
users subjective perspective. A series of
easy-to-follow toy examples are considered for each of
the two perspectives to demonstrate the usefulness and
necessity of the proposed foundations in pattern
mining. Finally, aiming at experimentally testing
whether classical pattern mining algorithms can be
adapted to such flexible data structures, the
experimental analysis comprises different
methodologies, including exhaustive search, random
search, and evolutionary approaches. All these
approaches are based on well-known and widely
recognized techniques to demonstrate the usefulness of
the provided foundations for future research works and
more efficient and specifically designed algorithms.
Obtained insights demonstrate the importance of working
with subjectivity: an item is a type of soda but
belongs to a pack, including two or more soda types.",
- }
Genetic Programming entries for
Jose Maria Luna
Philippe Fournier-Viger
Sebastian Ventura
Citations