Subgroup discovery (SD) is an exploratory pattern mining paradigm that comes into its own when dealing with large real-world data, which typically involves many attributes, of a mixture of data types. Essential
Qualitative and Quantitative are two types of Data. When this data is organized into some system for making the operations more effective and efficient it is DataBase Management System.Answer and Explanation: Discovering new information and data under particular parameters o...
ALL_MINING_MODEL_ATTRIBUTES Oracle Database PL/SQL Packages and Types Reference35.2.3 Numericals, Categoricals, and Unstructured Text Explains numeric, categorical, and unstructured text attributes. Model attributes are numerical, categorical, or unstructured (text). Data attributes, which are columns...
Right-click an attribute or a member property to delete it from the list, to rename it, or to change its usage. Use this view for viewing and creating member properties. You can also use this view to build hierarchies. Show Attributes in aGrid. Display the attributes in ...
We studied three types of fine-grained co-occurrence events: co-coming, co-leaving, and co-presenting duration, and observed that these fine-grained events are effective and complementary to each other for predicting friendships between mobile device users. Our contributions are summarized as: The...
The reduced model log-likelihood values were calculated when one attribute and its interaction was excluded from the full model. The partial effect of each attribute was calculated as the change in the reduced model log-likelihood from the full model log-likelihood. The relative effect was calculat...
The quality of the test suites and the constituent test cases significantly impacts confidence in software testing. While research has identified several q
Attaining high crop yields and increasing carbon storage in agricultural soils, while avoiding negative environmental impacts on water quality, soil erosion, and biodiversity, requires accurate and precise management of crop inputs and management practic
In general, the decision systems used in real-life applications may simultaneously process mixed data (e.g., categorical data and numerical data) and incomplete data, such as credit card data, patient case data, fault diagnosis data and other data types; therefore, such systems are called incom...
Depending on the ability of adversaries, there are two types of attacks: white-box attacks [4–9] and black-box attacks [10–12,14,15]. The adversaries have complete knowledge of the target model and data information in white-box settings. Show abstract TSadv: Black-box adversarial attack...