### physical process | processing | data processing:

Data mining
* aims to make sense of data in relation to the organisation's decision needs.
* are data processing
* automates the process of finding predictive information in large databases.
* combines methods from machine learning, statistics, and databases.
* consists in extracting knowledge from a large quantity of data.
* form of artificial intelligence that uses automated processes to find information.
* goes beyond computer monitoring to identify suspicious patterns of activity.
* has very broad applications in virtually all industries.
* includes association rule mining, classification and clustering.
* involves analysis of the spatial relationships among a set of maps.
* involves the development of tools that can extract patterns from large databases
  - extraction of fielded data and the analysis thereof
  - methods used to pull information from databases
* is about finding new information in a lot of data
  - actually the application of several statistical methodologies
* is an automated tool requiring no substantial human effort
  - interdisciplinary field, with strong quantitative roots
  - invasion of privacy
  - outgrowth of the advances in record-keeping made possible by computers
* is concerned with extracting useful information from data
  - the analysis of large but homogeneous data
* is one emerging area of data handling
  - of the hottest topics in data warehousing
  - the art of analyzing and extracting useful information from large datasets
* is the automatic discovery of patterns, associations and anomalies in data
  - associations and changes in large data sets
  - extraction of meaningful information from large amounts of data
  - data-driven extraction of information from large databases
  - discovery of latent knowledge from information files
  - elixir for which many are reaching
  - practice of analyzing the data that the business has collected over time
* is the process of converting data into information
  - discovering useful patterns in large data sets
  - extracting useful information from large databases
  - finding actionable information from a set of raw data
  - research area where methods for exploration of large data sets are developed
  - viewed as an exploratory data analysis on large data sets
* looks for patterns in data.
* makes it possible to make productive use of their demographic information.
* means finding unexpected relationships in a data set
  - getting information from fairly large and frequently updated resources
* method for finding patterns in large data sets.
* process to uncover trends and relationships in heterogeneous data.
* refers to automated methods of deriving information from massive amounts of raw data
  - the manipulation and retrieval of the information in a data warehouse
* serves to find information that is hidden within the available data.
* step beyond using data to prepare reports.
* step-wise process of knowledge discovery in databases.
* turns data into information.
* uses a technique called modeling.
  * is about finding new information in a lot of data. The information obtained from data mining is hopefully both new and useful.

Multiprocessing
* completely legitimate and time honored architecture for computing systems.
* is the real future of computing.
* occurs when a system consists of multiple CPUs or multiple processors.

Parallel processing
* involves topic like algorithms, hardware and languages.
* is employed to evaluate all individuals of one generation in parallel
  - induced when more than one meaning is salient
* is one method to reduce simulation time
  - technique to reduce simulation time
* is the ability to perform multiple computations simultaneously
  - brain using many processors to recognize an image
  - way that kind of emergent phenomenon can happen