A frequent problem in data mining is that of utilizing a regression equation to forecast the value of a dependent variable when it can have several variables available to select as predictors in this model.Another consideration favoring the inclusions of numerous variables in the hope that a previously hidden relationship will emerge. For example, a company found that customers who had purchased anti-scuff protectors for chair and table legs had lower credit risks.There are several reasons for exercising caution before throwing all possible variables into a model.It can be highly-priced or not feasible to set a full complement of predictors ... Read More

A heatmap is a graphical display of numerical data where color is used to denote values. In a data mining context, heatmaps are especially useful for two purposes − for visualizing correlation tables and for visualizing missing values in the data. In both cases, the information is conveyed in a two-dimensional table.A heatmap is a graphical description of data that needs a system of color-coding to define multiple values. Heatmaps are used in various forms of analytics but are most commonly used to show user behavior on specific web pages or webpage templates. Heatmaps can be used to display where ... Read More

Data Visualization defines the visual representation of data with the support of comprehensive charts, images, lists, charts, and multiple visual objects. It allows users to simply learn the data within a fraction of time and extract useful data, patterns, and trends. Furthermore, it creates the data simply to understand.In other terms, it can say that data representation in graphical form so that users can simply comprehend the process of trends in the data is known as data visualization.There are several tools contained in data visualization, including chart maps, graphs, etc. The tools used for data visualization support the users in ... 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.There are various concepts of data mining which are as follows −Classification − Classification is the procedure of discovering a model that represents and distinguishes data classes or concepts, for the objective of being able to use the model ... 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.There are various transformations of data mining which are as follows −Flag normal, abnormal, out of bounds, or impossible facts − Marking measured facts with special flags can be completely beneficial. Some measured facts may be correct but highly ... Read More

Fact tables involve a composite primary key, which includes multiple foreign keys (one for each dimension table) and a column for each measure that uses these dimensions.Every data staging process must include a step for replacing the production IDs in the incoming fact table record with the data warehouse surrogate keys, for each dimension in the fact table. Other processing, computation, and restructuring may also be necessary.In the warehouse, Referential integrity (RI) defines that for each foreign key in the fact table, an entry continues in the equivalent dimension table. If you have a sale in the fact table for ... Read More

Data Warehousing is a technique that is mainly used to collect and manage data from various sources to give the business a meaningful business insight. A data warehouse is specifically designed to support management decisions.In simple terms, a data warehouse defines a database that is maintained independently from an organization’s operational databases. Data warehouse systems enable the integration of multiple application systems. They support data processing by providing a strong platform of consolidated, historical data for analysis.Data warehouses generalize and centralize data in multidimensional space. The construction of data warehouses contains data cleaning, data integration, and data transformation and can ... Read More

The simplest form of encryption is symmetric key encryption. This kind of encryption is also called private key encryption. With symmetric-key encryption, a single secret key can both lock the information and unlock the information.Symmetric key encryption is mainly interesting in two situations −Private encryption of data − The user encrypts data with a private key that the user does not reveal to anyone else. If the key is a good one, no one else can decrypt the data.Private encryption of data can have several uses in the data warehouse. Any data that is especially sensitive could be so encrypted. ... Read More

The directory server is a type of data warehouse of resources accessible on the related network. Resources such as database devices, individual databases, file repositories, transaction systems, file storage areas, printers, and people.The people descriptions include names and addresses, organization roles, e-mail addresses, and more. The directory server reveals selected items of information to legitimate, authenticated requesters. It is meant to be a useful, centralized, controlling resource for finding out how to communicate on the associated network.Many vendors have agreed on the LDAP standard for communicating with a directory server, and, thus, implicitly for implementing a directory server. The term ... Read More

The size of the desktop machine is based on the characteristics of the user and the related tool requirements. A casual user whose data required are met by HTML document through a Web browser needs only as much power as it takes to run the internet browser.On the other hand, a power user who develops complex queries and analyses from scratch will possibly need a more dynamic machine. There are some desktop related challenges which are as follows −Cross-Platform Support − Some organizations have Macintosh hold-outs in the marketing organization, and some organizations need UNIX stores in engineering and manufacturing. ... Read More