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What is data mining? Data mining (sometimes called data or knowledge discovery) 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 databasesData Mining is a field of study within Computer Science. It is part of the process of Knowledge Discovery from Databases (KDD). The aim of data mining is to find novel, interesting and useful patterns from data using algorithms (methods of finding such information) that will do it in a way that is more computationally efficient than previous methods.Knowledge Discovery and Data Mining has increased in popularity because of the large amount of stored data that came about as computer storage became cheaper. From this, there was a need to understand it, and techniques to convert data into information are being continually developed and improved.Data mining techniques usually fall into two categories, predictive or descriptive. Predictive data mining uses historical data to infer something about future events. Descriptive data mining aims to find patterns in the data that provide some information about what the data contains. How can data mining affect you? Data mining can be used for several purposes by different people and organisations. The most notable users of data mining come from commercial, scientific or government backgrounds.Commercial entities may use the information gathered through data mining techniques to help discover something about their consumers, to help market their products better. Data mining is also used by search engines, such as google to mine web pages for information relating to your specific search query.Scientific communities may benefit from data mining by using it to find anomalies, clusters or co-locations to name a few. For example, they could discover a relationship between people getting cancer and the location of a chemical plant.The government could use data mining techniques to uncover patterns in their data. For example, data mining is used to find unusual patterns in the stock market in order to detect insider trading. Data mining is also used to detect scams sent by email. It could also be used to find unusual behaviour to prevent a terrorist attack.There are many more applications of data mining, which are continually being expanded. The main requirement for performing data mining is suitable data.
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data warehouse A data warehouse is the main repository of an organization's historical data, its corporate memory. It contains the raw material for management's de…cision support system. The critical factor leading to the use of a data warehouse is that a data analyst can perform complex queries and analysis, such as data mining, on the information without slowing down the operational systems. data mining The development of computational algorithms for the identification or extraction of structure from data. This is done in order to help reduce, model, understand, or analyze the data. Tasks supported by data mining include prediction, segmentation, dependency modeling, summarization, and change and deviation detection. Database systems have brought digital data capture and storage to the mainstream of data processing, leading to the creation of large data warehouses.
Data mining is increasingly popular in health care. It can help insurers find fraud and abuse, as well as help patients receive better, affordable healthcare. Data mining …in health care helps organizations to make management decisions, and can help physicians identify the best treatments. It can also help health care providers to build a pattern that can be turned into a predictive model for the future.
There are various features of Data Mining. Some of them are as follows :- Data mining discovers hidden information in your data and also will help marketing c…ompanies build models based on historical data to predict who will respond to the new marketing campaigns such as direct mail, online marketing campaign…etc. Data mining gives financial institutions information about loan information and credit reporting.Data mining is a powerful tool that can help you find patterns and relationships within your data. Data mining can confirm or qualify such empirical observations in addition to finding new patterns that may not be immediately discernible through simple observation. Data mining helps government agency by digging and analyzing records of financial transaction to build patterns that can detect money laundering or criminal activities.
It extracts information quickly from the web, like cc#s, dobs, phone#s, ss#s, etc, before you have a chance to delete them with your safety button. Also known as web mi…ning.
Data not yours it mine
Data mining refers to the broadly-defined set of techniques involving finding meaningful patterns - or information - in large amounts of raw data. At a very high level, data… mining is performed in the following stages (note that terminology and steps taken in the data mining process varies by data mining practitioner): 1. Data collection: gathering the input data you intend to analyze 2. Data scrubbing: removing missing records, filling in missing values where appropriate 3. Pre-testing: determining which variables might be important for inclusion during the analysis stage 4. Analysis/Training: analyzing the input data to look for patterns 5. Model building: drawing conclusions from the analysis phase and determining a mathematical model to be applied to future sets of input data 6. Application: applying the model to new data sets to find meaningful patterns Data mining can be used to classify or cluster data into groups or to predict likely future outcomes based upon a set of input variables/data. Common data mining techniques and tools include, for example: a. decision tree learning b. Bayesian classification c. neural networks During the analysis phase (sometimes also called the training phase), it is customary to set aside some of the input data so that it can be used to cross-validate and test the model, respectively. This is an important step taken in order to to avoid "over-fitting" the model to the original data set used to train the model, which would make it less applicable to real-world applications.
Data mining refers to the study of data (usually by software without human intervention) that is generated by user behavious on the internet. For example, a visit to amazo…n.com and a look at books on anthropology will probably trigger amazon's software to flag one as someone interested in anthropolgy. This data is then used across the user's net experience on sites like Facebook, Game sites, etc., to show the user ads related to resources on anthropology. This is done through the use of "cookies" that are placed on the user's computer that can then be read by sites that partner with the cookie-placing site to show relevant ads. While data mining is the first step in collecting user data, showing ads related to what the user was browsing can be redundant. Going by the previous example, if a user has already bought a book on basic anthropology, it makes little sense to show ads for the very same book. Predictive modeling goes a step or two further. Given that the user has already bought a book on basic anthropology, predictive modeling seeks to predict what the user will most likely need next and then to show ads for those products or services. Predictive modeling uses much more of the data mined, such as the user's age, gender, known experience in the field, other related interests, etc., to build a model to predict future needs and to thus show ads tailored to those needs.
Data mining is the term given to extracting Information from a Pool of Data. Some times when studying a problem, you will be working on a set of data collected by another pers…on. But most often you will be studying data you have collected. . For example, - At the moment in my district, folk are encouraged to note how many birds are on their property, for a 5 minute period, each hour. A sheet has been handed out showing all the expected species of birds. Similar counts have been made over a number of years. These observations form a pool of data. From this pool we may determine the most frequently-seen birds, and we can establish whether a certain type of bird is more commonly seen at morning or evening. We could also see if certain areas have more observers than others. This is data-mining.
it's data warehouse.... data warehouse: it is a collection of multiple databases or it it is repository of data. data mining it is the process of extracting data from data wa…rehouse.
In directed data mining, you are trying to predict a particular data point - the sales price of a house given information about other houses for sale in the neighborhood, for …example. In undirected data mining, you are trying to create groups of data, or find patterns in existing data - creating the "Soccer Mom" demographic group, for example. In effect, every U.S. census is data mining, as the government looks to gather data about everyone in the country and turn it into useful information.
Simply, Data mining is the process of analyzing data from several sources and converting it into useful data.
What is data mining? is data mining another hype? Is it a simple transformation of technology developed from databases, statistics, and machine learning? how the evolution… of database technology led to data mining. the steps involved in data mining when viewed as a process of knowledge discovery.
Data mining is a computer science which extract patterns in data sets. It can be used to predict which people are most likely to respond to a sales offer or what type of garme…nt is preferred by a certain type of customer.
The term data mining is generally known as the process of analyzing data from many different perspectives in order to correctly organize the data. Sometimes data mining is als…o called knowledge dicovery.
One can learn about data mining by visiting the data mining wikipedia page, which has a very comprehensive article about the topic, starting with the etymology and mostly talk…ing about the various uses of data mining.