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A review of conceptual clustering algorithms
Artificial Intelligence Review, 2018Clustering is a fundamental technique in data mining and pattern recognition, which has been successfully applied in several contexts. However, most of the clustering algorithms developed so far have been focused only in organizing the collection of objects into a set of clusters, leaving the interpretation of those clusters to the user.
José Francisco Martínez-Trinidad +2 more
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The Algorithmic Crystal: Conceptualizing the Self through Algorithmic Personalization on TikTok
Proceedings of the ACM on Human-Computer Interaction, 2022This research examines how TikTok users conceptualize and engage with personalized algorithms on the TikTok platform. Using qualitative methods, we analyzed 24 interviews with TikTok users to explore how algorithmic personalization processes inform people's understanding of their identities as well as shape their orientation to others.
Angela Y. Lee +3 more
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An algorithm to compare OO-conceptual schemas
International Conference on Software Maintenance, 2002. Proceedings., 2003In this paper, an algorithmic study of how to compare object-oriented conceptual schemas in a data migration context is carried out. An algorithm is presented based on the tree-comparison technique that compares conceptual schemas. The algorithm uses semantic information in order to optimize efficiency.
Josep Silva +2 more
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LC: A Conceptual Clustering Algorithm
2001An algorithm for automated construction of conceptual classification is presented. The algorithm arranges the objects into clusters using clustering criterion based on graph theory and constructs the concepts based on attributes that distinguish objects in the different computed clusters (typical testors). The algorithm may be applied in problems where
José Francisco Martínez Trinidad +1 more
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Conceptualization of Personalized Privacy Preserving Algorithms
2015In recent years, personal data has been shared between organizations and researchers. While sharing information, individuals’ sensitive data should be preserved. For this purpose, a number of algorithms for privacy-preserving publish data have been designed. These algorithms modify or transform data to protect privacy.
Buket Usenmez, Özgü Can
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Evolutionary algorithm for multiresolutional conceptual learning
Proceedings of the 2000 Congress on Evolutionary Computation. CEC00 (Cat. No.00TH8512), 2002An effort is made to show how evolutionary algorithms (EA) can be applied within the domain of learning control systems with multiresolutional representation.
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Conceptual and Practical Aspects of the aiNet Family of Algorithms
International Journal of Natural Computing Research, 2010In this paper, a review of the conceptual and practical aspects of the aiNet (Artificial Immune Network) family of algorithms will be provided. This family of algorithms started with the aiNet algorithm, proposed in 2002 for data clustering and, since then, several variations have been developed for data clustering, biclustering and optimization in ...
Fabrício Olivetti de França +3 more
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A conceptual version of the K-means algorithm
Pattern Recognition Letters, 1995Clustering techniques are important for knowledge acquisition. Traditionally, numerical clustering methods have been viewed in opposition to conceptual clustering methods developed in Artificial Intelligence. Numerical techniques emphasize the determination of homogeneous clusters but provide low-level descriptions of clusters. A conceptual approach is
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A conceptual clustering algorithm for database schema design
IEEE Transactions on Knowledge and Data Engineering, 1994Conceptual clustering techniques based on current theories of categorization provide a way to design database schemas that more accurately represent classes. An approach is presented in which classes are treated as complex clusters of concepts rather than as simple predicates.
Howard W. Beck +2 more
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Algorithmic Consistency in Computational Inelasticity – a Conceptual Completion
PAMM, 2013AbstractThis paper communicates a new algorithmic concept, how higher‐order Runge‐Kutta (RK) methods for time integration of viscoelastic constitutive laws can be introduced into nonlinear finite element methods in order (i) to obtain the full nominal order p in time integration, (ii) to ensure that global equilibrium is only required at the end of ...
Eidel, Bernhard +2 more
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