[PDF] Top 20 Relational Data Exploration by Relational Concept Analysis

... raised by this way of extracting concepts from relational ...non-monotonic concept construction and one could build several cases where the process diverges (iterates between recurrent ...a ... Voir le document complet

... gather data about these bio-pesticides and implement methods to support the exploration of knowledge by the potential users (farmers, advisers, researchers, retailers, ...pressed by the domain ... Voir le document complet

... way, by creating new abstractions (within a robust process that leads to a unique ...in Relational Concept Analysis (RCA [12]) to take into account the richness of the relations between ... Voir le document complet

... inter-procedural analysis. They can infer precise relations between the data contained in a list, such as the sum of all data in a list is inferior to the length of this ...the data of a ... Voir le document complet

... the relational schema ...input by considering that the attributes are probabilistically independent which is not relevant when these bench- marks are used to evaluate decision support ...characterized ... Voir le document complet

... as data classification [3], data clustering [4], [5], social network analysis [6], [7] and statistical estimation [8], ...} by allocating a mass of belief for each object in X over the power ... Voir le document complet

... and data analysis become increasingly collaborative, there is a need for data management systems that natively support the versioning or branch- ing of datasets to enable concurrent analysis, ... Voir le document complet

... Abstract. Data interlinking is an important task for linked data inter- ...generalise relational keys to pairs of RDF ...RDF data sets by encoding the extraction problem in ... Voir le document complet

... measured by the cosine of the angle between their corresponding ...measuring relational similarity, which we call Latent Relational Analysis ...frequency data. SVD is also part of ... Voir le document complet

... differentiate data- driven indexes based on cardinal information from data-driven indexes derived from ordinal ...using data analysis processes, which can be distinguished into two sets: ... Voir le document complet

... differentiate data- driven indexes based on cardinal information from data-driven indexes derived from ordinal ...using data analysis processes, which can be distinguished into two sets: ... Voir le document complet

... LRA extends the VSM approach in three ways: (1) the patterns are derived automatically from the corpus (they are not predefined), (2) the Singular Value Decomposition (SVD) is used to smooth the frequency data (it ... Voir le document complet

... complex data, as presented in Example 1 ...labelled by a ...generated by the latter plus the link ⟨z 1 , i 2 ⟩ (because p 1 has the two firstnames "Maxence" and "Thomas" and i 2 has ... Voir le document complet

... Formal Concept Analysis (FCA) is a relevant support for data ...a data analysis frame- work organising datasets composed of objects described by attributes in canoni- cal ... Voir le document complet

... controlled by looking, at each step, the appearing concepts (and marking the non-relevant ones to avoid nding them again at next ...the concept lattice (the AOC-poset), induced by the concepts that ... Voir le document complet

... 4.1 Overall process We define a three-step rca-based correction process that follows a two-step defect detection process. First, we build a model of the program that is simpler to manipulate than the raw source code and ... Voir le document complet

... 2 by induction, as for the forward assignment, but also remember for each expression node the evaluation of the corresponding ...values by taking test filtering into ...obtained by the current ... Voir le document complet

... Our analysis computes an abstraction of the relational semantics of programs so as to capture the effect of a function or other block of code using an element of some specifically designed abstract ...a ... Voir le document complet

... Probabilistic relational models (PRMs) were introduced to extend the modelling and reasoning capacities of Bayesian networks from propositional to relational ...lational data, by extracting ... Voir le document complet

... bipolar relational division As pointed out, the tolerant division operator ap- plied on crisp relations R and S delivers elements x attached to degrees corresponding to portions of elements of S which are related ... Voir le document complet