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KPI driven code analysis (KPI = Key Performance Indicator) is a method of analyzing software source code and source code related IT systems to gain insight into business critical aspects of the development of a software system such as team-performance, time-to-market, risk-management, failure-prediction and much more.
Data cleansing or data cleaning is the process of identifying and correcting (or removing) corrupt, inaccurate, or irrelevant records from a dataset, table, or database. It involves detecting incomplete, incorrect, or inaccurate parts of the data and then replacing, modifying, or deleting the affected data. [ 1 ]
Code cleanup can also refer to the removal of all computer programming from source code, or the act of removing temporary files after a program has finished executing. For instance, in a web browser such as Chrome browser or Maxthon , code must be written in order to clean up files such as cookies and storage. [ 6 ]
A training data set is a data set of examples used during the learning process and is used to fit the parameters (e.g., weights) of, for example, a classifier. [9] [10]For classification tasks, a supervised learning algorithm looks at the training data set to determine, or learn, the optimal combinations of variables that will generate a good predictive model. [11]
Semantic data mining is a subset of data mining that specifically seeks to incorporate domain knowledge, such as formal semantics, into the data mining process.Domain knowledge is the knowledge of the environment the data was processed in. Domain knowledge can have a positive influence on many aspects of data mining, such as filtering out redundant or inconsistent data during the preprocessing ...
The Motley Fool talks with Qualtrics CEO Ryan Smith, one of Forbes' "Most Promising CEOs Under 35." Ryan's online data collection and analysis platform has enjoyed meteoric growth and success in ...
In Watson Studio, a data scientist can create a project with a group of collaborators, all having access to various analytics models and using various languages (R/Python/Scala). Watson Studio brings together staple open source tools including RStudio, Spark and Python in an integrated environment, along with additional tools such as a managed ...
Data mining is a particular data analysis technique that focuses on statistical modeling and knowledge discovery for predictive rather than purely descriptive purposes, while business intelligence covers data analysis that relies heavily on aggregation, focusing mainly on business information. [4]