Found 427 Articles for Data Mining

OLAP stands for On-Line Analytical Processing. OLAP is an element of software technology that authorizes analysts, managers, and executives to gain insight into data through fast, consistent, interactive access in a wide variety of possible views of information that has been changed from raw information to reflect the actual dimensionality of the enterprise as learned by the client.OLAP allows the users to generate online descriptive or comparative summaries of data and other analytics queries. It designates an element of software and technologies that allows the collection, storage manipulation, and reproduction of multidimensional records with the aim of analysis.It allows the ... Read More

It is the process that manages the queries and speeds them up by directing queries to the most effective data source. This process also ensures that all the system resources are used most effectively, usually by scheduling the execution of queries. The query management process monitors the actual query profiles that are used to determine which aggregations to generate.This process operates at all times that the data warehouse is made available to endusers. There are no major consecutive steps within this process, rather there are a set of facilities that are constantly in operations.Directing queries − Data warehouses that contain ... Read More

Data mining is the process of finding useful new correlations, patterns, and trends by transferring through a high amount of data saved in repositories, using pattern recognition technologies including statistical and mathematical techniques. It is the analysis of factual datasets to discover unsuspected relationships and to summarize the records in novel methods that are both logical and helpful to the data owner.It is the procedure of selection, exploration, and modeling of high quantities of information to find regularities or relations that are at first unknown to obtain clear and beneficial results for the owner of the database.Data Mining is similar ... Read More

Data aggregation is a process in which data is gathered and represented in a summary form, for purposes including statistical analysis. It is a kind of information and data mining procedure where data is searched, gathered, and presented in a report-based, summarized format to achieve specific business objectives or processes and/or conduct human analysis.Data aggregation can be implemented manually or through specialized software. The objective of Aggregation is to get more data about specific teams based on specific variables including age, profession, or income.The data about such teams can then be used for website personalization to select content and advertising ... Read More

Backpropagation defines the whole process encompassing both the calculation of the gradient and its need in the stochastic gradient descent. Technically, backpropagation is used to calculate the gradient of the error of the network concerning the network’s modifiable weights.The characteristics of Backpropagation are the iterative, recursive and effective approach through which it computes the updated weight to increase the network until it is not able to implement the service for which it is being trained. Derivatives of the activation service to be known at network design time are needed for Backpropagation.Backpropagation is widely used in neural network training and calculates ... Read More

Feed-forward networkFeed-forward neural networks enable signals to travel one method only, from input to output. There is no feedback (loops) i.e., the output of any layer does not affect that same layer. Feed-forward networks influence to be easy networks that relate inputs with outputs. They are extensively used in pattern recognition. This type of organization is also defined as bottom-up or top-down.Feed-forward neural networks enable signals to travel one method only, from input to output. There is no feedback (loops) i.e., the output of any layer does not affect that same layer. Feed-forward networks influence to be easy networks that ... Read More

A neural network is a sequence of algorithms that endeavors to identify basic relationships in a set of data through a process that mimics the approach the human brain works. In this method, neural networks define systems of neurons, either organic or artificial.Neural Networks are analytic techniques modeled after the (hypothesized) processes of learning in the cognitive system and the neurological functions of the brain and capable of predicting new observations (on specific variables) from other observations after implementing a process of so-called learning from existing information. Neural Networks is one of the Data Mining techniques.A neural network is an ... Read More

Association rule learning is a type of unsupervised learning technique that tests for the dependency of one data element on another data element and maps accordingly so that it can be more commercial. It tries to discover some interesting relations or associations between the variables of the dataset. It depends on several rules to find interesting relations among variables in the database.The association rule learning is the essential concept of machine learning, and it is employed in Market Basket analysis, Web usage mining, continuous production, etc. Therefore market basket analysis is an approach used by several big retailers to find ... Read More

The approaches to mining multilevel association rules are based on the supportconfidence framework. The top-down strategy is employed where counts are accumulated for the calculation of frequent itemsets at each concept level, starting at concept level 1 and working towards the lower specific concept levels until more frequent itemsets can be found using the Apriori algorithm.Data can be generalized by replacing low-level concepts within the data with their higher-level concepts or ancestors from a concept hierarchy. In a concept hierarchy, which is represented as a tree with the root as D i.e., Task-relevant data.The popular area of application for the ... Read More

Web mining defines the process of using data mining techniques to extract beneficial patterns trends and data generally with the help of the web by dealing with it from web-based records and services, server logs, and hyperlinks. The main goal of web mining is to find the designs in web data by collecting and analyzing data to get important insights.Web mining can widely be viewed as the application of adapted data mining methods to the web, whereas data mining is represented as the application of the algorithm to find patterns on mostly structured data fixed into a knowledge discovery process.Web ... Read More