Data Mining, also popularly known as Knowledge Discovery in Databases (KDD) is the process of analyzing data from different perspectives and summarizing it into useful information - information that can be used to increase revenue, cuts costs, or both. Data mining software is one of a number of analytical tools for analyzing data. It allows users to analyze data from many different dimensions or angles, categorize it, and summarize the relationships identified. Technically, data mining is the process of finding correlations or patterns among dozens of fields in large relational databases.
Cloud computing is a type of computing that relies on sharing computing resources rather than having local servers or personaldevices to handle applications. In cloud computing, the word cloud (also phrased as "the cloud") is used as a metaphor for "the Internet," so the phrase cloud computing means "a type of Internet-based computing," where different services — such as servers, storage and applications —are delivered to an organization's computers and devices through the Internet.
Cloud computing is comparable to grid computing, a type of computing where unused processing cycles of all computers in a network are harnesses to solve problems too intensive for any stand-alone machine.
The world of networking is complex. Users can connect to the Internet using a wide range of technologies—cable modems, DSL, Wi-Fi, cellular connections, satellite uplinks, Ethernet, and even traditional acoustic modems. Each of these connections has distinct characteristics, including differences in bandwidth, latency, packet loss, and reliability.
To add further complexity, the user’s connection to the Internet does not tell the whole story. On its way from the user to an Internet server, the user’s network data passes through anywhere from one to dozens of physical interconnects, any one of which could be a high-speed OC-768 line (at almost 40 billion bits per second), a meager 300 baud modem (at 300 bits per second), or anything in-between. Worse, at any moment, the speed of the user’s connection to a server could change drastically—someone could turn on a microwave oven that interferes with the user’s Wi-Fi communications, the user could walk or drive out of cellular range, someone on the other side of the world could start downloading a large movie from the server that the user is trying to access, and so on.
As a developer of network-based software, your code must be able to adapt to changing network conditions, including performance, availability, and reliability. This document tells you how.
Image processing is a method to convert an image into digital form and perform some operations on it, in order to get an enhanced image or to extract some useful information from it. It is a type of signal dispensation in which input is image, like video frame or photograph and output may be image or characteristics associated with that image. Usually Image Processing system includes treating images as two dimensional signals while applying already set signal processing methods to them.
It is among rapidly growing technologies today, with its applications in various aspects of a business. Image Processing forms core research area within engineering and computer science disciplines too.
The purpose of image processing is divided into 5 groups. They are: