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MOA is an open-source framework software that allows to build and run experiments of machine learning or data mining on evolving data streams. It includes a set of learners and stream generators that can be used from the graphical user interface (GUI), the command-line, and the Java API.
Orange is an open-source software package released under GPL and hosted on GitHub.Versions up to 3.0 include core components in C++ with wrappers in Python.From version 3.0 onwards, Orange uses common Python open-source libraries for scientific computing, such as numpy, scipy and scikit-learn, while its graphical user interface operates within the cross-platform Qt framework.
Everything is a freeware desktop search utility for Windows that can rapidly find files and folders by name. While the binaries are licensed under a permissive licence identical to the MIT License , [ 3 ] it is not open-source .
Spatial data mining is the application of data mining methods to spatial data. The end objective of spatial data mining is to find patterns in data with respect to geography. So far, data mining and Geographic Information Systems (GIS) have existed as two separate technologies, each with its own methods, traditions, and approaches to ...
Microsoft Windows file shortcuts have the ability to store the working directory. COMMAND.COM in DR-DOS 7.02 and higher provides ECHOS, a variant of the ECHO command omitting the terminating linefeed. [4] [3] This can be used to create a temporary batchjob storing the working directory in an environment variable like CD for later use, for example:
The torch package also simplifies object-oriented programming and serialization by providing various convenience functions which are used throughout its packages. The torch.class(classname, parentclass) function can be used to create object factories ().
Frequent pattern discovery (or FP discovery, FP mining, or Frequent itemset mining) is part of knowledge discovery in databases, Massive Online Analysis, and data mining; it describes the task of finding the most frequent and relevant patterns in large datasets. [1] [2] The concept was first introduced for mining transaction databases. [3]
Wikipedia and its sister projects—e.g. Wikimedia Commons, WikiSource—supported by the Wikimedia Foundation are hosted by servers (see Wikimedia servers on Meta-Wiki) at a data center in the state of Virginia, with an emergency backup data center in the state of Texas; caching servers are located in the Netherlands and Singapore.