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[6] [7] [8] There is no universal social credit score or system. The origin of the concept can be traced back to the 1980s when the Chinese government attempted to develop a personal banking and financial credit rating system, especially for rural individuals and small businesses who lacked documented records. [9]
Mondrian – data analysis tool using interactive statistical graphics with a link to R; Neurophysiological Biomarker Toolbox – Matlab toolbox for data-mining of neurophysiological biomarkers; OpenBUGS; OpenEpi – A web-based, open-source, operating-independent series of programs for use in epidemiology and statistics based on JavaScript and ...
By default, a Pandas index is a series of integers ascending from 0, similar to the indices of Python arrays. However, indices can use any NumPy data type, including floating point, timestamps, or strings. [4]: 112 Pandas' syntax for mapping index values to relevant data is the same syntax Python uses to map dictionary keys to values.
Relief algorithm: Selection of nearest hit, and nearest miss instance neighbors prior to scoring. Take a data set with n instances of p features, belonging to two known classes. Within the data set, each feature should be scaled to the interval [0 1] (binary data should remain as 0 and 1). The algorithm will be repeated m times.
Alternative credit scoring systems can use data such as rental payments, utility payments, subprime credit, and cell phone bills. [26] Other sources are social media activities, internet browsing history, employment history, student history, past loan application dates and locations, or the method one uses when purchasing gasoline. [27]
Graph-tool is a python module for efficient analysis of graphs. Its core data structures and algorithms are implemented in C++, with heavy use of Template metaprogramming, based on the Boost Graph Library. It contains a comprehensive list of algorithms. R: Social network analysis within the versatile and popular R environment
Connect (financial services company) Credit bureau; Credit bureaus in the Philippines; Credit Karma; Credit scorecards; CRIF High Mark Credit Information Services; Criticism of credit scoring systems in the United States
Knowledge discovery is an iterative and interactive process used to identify, analyze and visualize patterns in data. [1] Network analysis, link analysis and social network analysis are all methods of knowledge discovery, each a corresponding subset of the prior method.