Search results
Results from the WOW.Com Content Network
BIN – binary data, often memory dumps of executable code or data to be re-used by the same software that originated it; DAT – data file, usually binary data proprietary to the program that created it, or an MPEG-1 stream of Video CD; DSK – file representations of various disk storage images; RAW – raw (unprocessed) data
Flow diagram. In computing, serialization (or serialisation, also referred to as pickling in Python) is the process of translating a data structure or object state into a format that can be stored (e.g. files in secondary storage devices, data buffers in primary storage devices) or transmitted (e.g. data streams over computer networks) and reconstructed later (possibly in a different computer ...
A file signature is data used to identify or verify the content of a file. Such signatures are also known as magic numbers or magic bytes. Many file formats are not intended to be read as text. If such a file is accidentally viewed as a text file, its contents will be unintelligible.
Data-centric programming language defines a category of programming languages where the primary function is the management and manipulation of data. A data-centric programming language includes built-in processing primitives for accessing data stored in sets, tables, lists, and other data structures and databases, and for specific manipulation and transformation of data required by a ...
Procedural programming languages are based on the concept of the unit and scope (the data viewing range) of an executable code statement. A procedural program is composed of one or more units or modules, either user coded or provided in a code library; each module is composed of one or more procedures, also called a function, routine ...
The first is an example of processing a data stream using a continuous SQL query (a query that executes forever processing arriving data based on timestamps and window duration). This code fragment illustrates a JOIN of two data streams, one for stock orders, and one for the resulting stock trades.
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 ...
A programming language may be created for a specific task, but used beyond that original domain and thus be considered a general purpose programming language. For example, COBOL, Fortran, and Lisp were created as DSLs (for business processing, numeric computation, and symbolic processing), but became GPL's over time.