COMPUTER SCIENCE

   The OSI model is a layered framework for the design of network systems that design allows for communication across all types of computer systems. It consists of seven separate but related layers, each of which defines a segment of the process of moving information across a network. Understanding the fundamentals of the OSI model provides a solid basis for the exploration of data communication. Layered Architecture build of seven ordered layers physical layer data link layer network layer  transport layer session layer presentation layer application layer As the message transfer from one device to another device, it may pass through many intermediate nodes. These intermediate nodes usually involve only the 1st three layers of OSI models. In developing the model, the designers distilled the process of transmitting data down to its most fundamental elements. They identified which networking function had related users and collected functions into discrete groups that became the layers.

 If you are looking for the most important general computer science acronyms short forms you are in the right place. Here we have mentioned some popular full forms you must know. These are also important from a competitive examination point of view. Computer Hardware Related Acronyms Short Form          Full Form AMD         Advanced Micro Devices ATA           Advanced Technology Attachment ATX         Advanced Technology Extended CD           Compact Disc CD-ROM Compact Disc-Read-Only Memory CD-RW         Compact Disc-Rewritable CPU         Central Processing Unit DVD         Digital Versatile Disc DVD-ROM Digital Video Disc-Random Access Memory DVD-ROM Digital Video Disc-Read Only Memory DVD-R         Digital Video Disc-Recordable DVD-RW Digital Video Disc-Rewritable DDR         Double Data-Rate DDR RAM Double Data-Rate Random Access Memory FDD         Floppy Disk Drive HDD         Hard Disk Drive HDMI         High Definition Media Interface IDE 

Those threats pop-ups may be irritating, but they're there to ensure your computer can stop, and counterbalance malware warnings. Imagine you’re relaxing at your computer, catching up with the news, when a little box pops up on your screen. It’s a safety warning, also, possibilities are, you merely click out of it without a second thought.   But could neglecting these signs be putting your computer or your private data in danger? Hackers can cause a lot of trouble with even the smallest amount of private information. Here is everything a hacker can do with just your email address. Why they’re very easy to ignore? Pop-ups notifications are a big annoyance. Continue to the point that you have little or no idea what those updates and threats really intend, and it makes it intriguing to neglect them. Except it’s one of the obvious signs you’re about to be hacked. It’s difficult to take them seriously. Director at Kumo Digital, Mathew Porter describes the three kinds of warnings you’

Rational agent approaches Artificial intelligence is defined as the study of a relational agent. A rational agent could be anything that makes decisions like a person, firm, machine, or software. It acts with the best outcome percept. (agents perceptual inputs at a given instance) An AI system is composed of an agent and its environment. The environment may contain other agents. An agent is anything that can be viewed as : Perceiving its environment through sensors and Acting upon that environment through actuators. Note Every agent can perceive its own actions(but not always the effects) It will run in cycles of perceiving, thinking, and acting. Take humans for eg, we perceive our environment through our five senses (sensors), we think about it, and then act using our body parts (actuators). Similarly, robotic agents perceive the environment through sensors that we provide them it can the camera, microphones, infrared detectors. They do some computing(thinking) and

 Turing Test in Artificial Intelligence  Alan Turing (computer scientist) introduce the Turing test in 1950. Turing test is used to determine whether or not a computer (machine) can think intelligently like humans? Visualize a game of three players having two humans and one computer, an interrogator (as a human) is isolated from the other two players. The interrogator's job is to try and figure out which one is human and by asking questions from both of them. The interrogator is limited to a response to written questions to make the determination. The chat between interrogator and computer would be like this: A) Interrogator: Are you a computer? B) computer: No. If a human interrogator wouldn't be able to distinguish to answer provided by both human and computer, then the computer passes the test, and the machine(computer) is considered as intelligent as a human. But in the year 1980, Mr. Johan Searle proposed the Chinese room argument. He argued t

                                                 Data Mining Concepts What is Data Mining Data mining is the branch of computer science which deal with huge data. Data mining is a computing process of recognizing patterns in large data using machine learning, statics, and a database system. The extracted information should give us new patterns, relationships, among the data entities. Data mining is also known as knowledge discovery in the database(KDD). The information is extracted so it can be used for the following applications Market analysis Fraud detection Customer retention Production control Science exploration Various data mining methods: these methods help make decisions and predict future 1 Association 2 Classification 3 Clustering Analysis 4 Prediction 5 Sequential Patterns or Pattern Tracking 6 Decision Trees 7 Anomaly Analysis 8 Neural Network

DATA WAREHOUSE Data warehouse is a collection of data that support decision making processes. It provide the following features are ·         Subject oriented ·         Consistent ·         Shows its evaluations over time ·         Non volatile A data warehouse is a central location where consolidated data from multiple locations are stored. It is like a relational database design for analytical processing. DATA WAREHOUSING Data warehousing is the act of organizing data and storing data in a way so as to make its retrieval efficient and insightful. Also called data as the process of transferring   data into information. Is a collection of method, techniques, and tools to support knowledge workers to conduct data analysis that help with performing decision making process and improving information resources.