Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 10 of 10 for “"Categorical attributes"”.
-
Quantification of uncertainty of geometallurgical variables for mine planning optimisation
… the geometallurgical block model with response attributes. New multi-objective optimisation formulations for block caving mining were formulated and solved by a meta-heuristics solver focussing on maximising the project revenue and, at the same time, minimising several risk measures. A novel …
-
Restricting Supervised Learning: Feature Selection and Feature Space Partition
… domain information encoded by discrete or categorical attributes. A discrete or categorical attribute provides a natural partition of the problem domain, and hence divides the original problem into several non-overlapping sub-problems. In this sense, the domain information is useful if the …
-
Enabling AI Copilots for Engineering Design With Parametric, Graph, And Component Inputs
… features and an error rate of around 0.18 for categorical attributes, outperforming both classical imputation methods such as MissForest, hotDeck, PPCA and advanced diffusion-based baselines such as TabCSDI. Moreover, it achives a Diversity Score of 3.10, surpassing all baselines, illustrating …
-
Visualising categorical data: Linguistic case studies from te Reo Māori and New Zealand English
Categorical variables are prevalent in real-world datasets across numerous domains, yet few visualisation techniques accommodate them effectively. This is especially true of datasets comprising three or more categorical variables, termed multivariate categorical data. Visualising such data is …
-
User-centered intrusion detection using heterogeneous data
… of this particular problem are high relevance of categorical data, limited feature availability and total absence of ground truth. First, we ask how to apply anomaly detection to IAM audit logs containing a restricted set of mixed (i.e. numeric and categorical) attributes. Then, we inquire how …
-
Analogy-based software project effort estimation. Contributions to projects similarity measurement, attribute selection and attribute weighting algorithms for analogy-based effort estimation.
… that have some inadequacies related to attributes relevancy, noise and uncertainty in addition to the problem of using categorical attributes. This research focuses on improving the efficiency and flexibility of analogy-based estimation to overcome the abovementioned inadequacies. …
-
Analogy-based software project effort estimation. Contributions to projects similarity measurement, attribute selection and attribute weighting algorithms for analogy-based effort estimation.
… that have some inadequacies related to attributes relevancy, noise and uncertainty in addition to the problem of using categorical attributes. This research focuses on improving the efficiency and flexibility of analogy-based estimation to overcome the abovementioned inadequacies. …
-
PROCESS MINING FOR REENGINEERING CIRCULAR AND RESILIENT PRODUCTION PROCESSES
… literature rely on naive techniques to encode categorical attributes from events, such as the well-known one-hot encoding. Furthermore, a second level of encoding is required to aggregate a trace of events into a single vector array, which is commonly done by simply averaging the attribute …
-
Coupled similarity analysis in supervised learning
… classification algorithms. When calculating the categorical data similarity, the strategy used by the traditional classifiers often overlooks the inter-relationship between different data attributes and assumes that they are independent of each other. This can be seen, for example, in the overlap …
-
Contributions to fuzzy object comparison and applications. Similarity measures for fuzzy and heterogeneous data and their applications.
… comparison where the objects are described by attributes of fuzzy or heterogeneous (numeric and symbolic) data types. Many real world database systems and applications require information management components that provide support for managing such imperfect and heterogeneous data objects. For …