A pattern, from the French patron, is a type of theme of recurring events or objects, sometimes referred to as elements of a set of objects.
The elements of a pattern repeat in a predictable manner. Patterns can be based on a template or model which generates pattern elements, especially if the elements have enough in common for the underlying pattern to be inferred, in which case the things are said to exhibit the unique pattern.
http://en.wikipedia.org/wiki/Pattern
Data mining can uncover interesting patterns. Some cookies will upload solely for the purpose of data mining.
Data mining software is a practical way to look for patterns and correlations. Basically, data mining take out information from data and transform it in a way to be understood for future use.
Data mining is effectively storing and analysing old pieces of data and predicting what's going to happened in future based on trends and patterns in that data.
Data Mining
Data Mining
Data mining is the application of computational techniques to obtain useful information from a large data. When applied to different situations data mining can reveal information and valuable insights about patterns. Examples of data mining applications are Fraud detection, customer behaviour, customer retention.
Directed data mining involves using predefined goals or objectives to guide the analysis and modeling of data. In contrast, undirected data mining aims to discover patterns or relationships in data without specifying a particular outcome in advance. Directed data mining is typically used for tasks such as classification and regression, while undirected data mining techniques include clustering and anomaly detection.
spatial mining is the extraction of knowledge,spatial relationships and intresting measures that are not explicitly stored in spatial database where as temporal mining is the extraction of knowledge about occurence of an event or values whether they follow cylic,random,seasonal variation etc...and other intrestion time related patterns.
Data warehouse is a technology that aggregates structured data from one or more sources so that it can be compared and analyzed rather than transaction processing, whereas Data mining is the process of analyzing unknown patterns of data.
Data mining Is popular in business for information to use for marketing purposes. Data mining recognises patterns and relationships in data in order to help make business more efficient and generally better.
Web mining - is the application of data mining techniques to discover patterns from the Web. According to analysis targets, web mining can be divided into three different types, which areWeb usage mining, Web content mining and Web structure mining.
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.