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Feature scaling is a method used to normalize the range of independent variables or features of data. In data processing , it is also known as data normalization and is generally performed during the data preprocessing step.
The dataset consists of PCA transformed features (from V1, to V28) well as the Time (time elapsed since the initial transaction) and Amount (transaction value). We processed the dataset using the steps: Scaling : The Time and Amount features by utilizing StandardScaler to standardize their input range. [7]
Relief is an algorithm developed by Kira and Rendell in 1992 that takes a filter-method approach to feature selection that is notably sensitive to feature interactions. [1] [2] It was originally designed for application to binary classification problems with discrete or numerical features.
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Simple Features (officially Simple Feature Access) is a set of standards that specify a common storage and access model of geographic features made of mostly two-dimensional geometries (point, line, polygon, multi-point, multi-line, etc.) used by geographic databases and geographic information systems.
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Xbed was focused on the use of XML for geospatial. This led to the creation of SFXML (Simple Features XML) with input from Galdos, US Census, and NTT Data. Galdos demonstrated an early map style engine pulling data from an Oracle-based "GML" data server (precursor of the WFS) at the first OGC Web Map Test Bed in September 1999.