Found 422 Articles for Data Mining

In the multidimensional model, data are arranged into several dimensions, and each dimension includes several levels of abstraction represented by concept hierarchies. This organization supports users with the adaptability to view records from different perspectives.Several OLAP data cube operations continue to materialize these multiple views, enabling interactive querying and analysis of the data at hand. Therefore, OLAP supports a convenient environment for interactive data analysis.Five basic OLAP commands are used to implement data retrieval from a Data warehouse are as follows −ROLL UP Command − The ROLL UP enables the user to summarise information into a higher general level in ... Read More

A concept hierarchy represents a series of mappings from a set of low-level concepts to larger-level, more general concepts. Concept hierarchy organizes information or concepts in a hierarchical structure or a specific partial order, which are used for defining knowledge in brief, high-level methods, and creating possible mining knowledge at several levels of abstraction.A conceptual hierarchy includes a set of nodes organized in a tree, where the nodes define values of an attribute known as concepts. A specific node, “ANY”, is constrained for the root of the tree. A number is created to the level of each node in a ... Read More

Star SchemaA star schema is a conference for organizing the records into dimension tables, fact tables, and materialized views. All of the information is stored in columns, and metadata is needed to identify the columns that function as multidimensional objects.A star schema is a relational schema where a relational schema whose design describes a multidimensional data model. The star schema is the explicit data warehouse schema. It is called a star schema because the entity-relationship diagram of this schemas reproduces a star, with points, diverge from the main table. The middle of the schema includes a large fact table, and ... Read More

The snowflake schema is a variant of the star schema model, where some dimension tables are normalized, by further dividing the records into additional tables. The developing schema graph forms a shape equivalent to a snowflake.The snowflake schema is an extension of the star schema where each point of the star breaks out into more points. It is known as the snowflake schema because the snowflake schema resembles a snowflake. Snowflaking is a method of normalizing the dimension tables in STAR schemas. When it normalizes all the dimension tables completely, the resultant structure simulates a snowflake with the fact table ... Read More

A star schema is a conference for constructing the data into dimension tables, fact tables, and materialized views. All data is saved in columns, and metadata is needed to identify the columns that function as multidimensional objects.A star schema is a relational schema where a relational schema whose design defines a multidimensional data model. The star schema is the explicit data warehouse schema. It is referred to as star schema because the entity-relationship diagram of this schemas reproduces a star, with points, diverge from the main table. The middle of the schema includes a high fact table, and the star ... Read More

A data cube enables data to be modeled and viewed in several dimensions. It is represented by dimensions and facts. In other terms, dimensions are the views or entities related to which an organization is required to keep records.For instance, AllElectronics can create a sales data warehouse to maintain records of the store’s sales-related dimensions time, item, branch, and location. These dimensions enable the store to maintain track of things like monthly sales of items and the branches and locations at which the items were sold.Each dimension can have a table related to it. It is known as a dimension ... Read More

The SELECT clause in the materialized view creation statement represents the data that the materialized view is to include. Some restrictions that limit what can be defined and multiple tables can be joined together. There are several elements including views, inline views (subqueries in the FROM clause of a SELECT statement), subqueries, and materialized views that can all be joined or imputed in the SELECT clause.There are the various types of Materialised views are as follows −Materialized Views with Aggregates − In data warehouses, materialized views generally include aggregates. For a quick update to be possible, the SELECT list must ... Read More

EAI represents Enterprise Application Integration. It supports an integrated method to connecting the multiple components of the IT framework- people, software, platforms, and databases to allow secure, intra and inter-enterprise collaboration.EAI solutions allow an organization to integrate business processes internally and externally with business partners to make dynamic environments that provide current and evolving business requirements, thereby making a worldwide organization.EAI helps in unrestricted sharing of information and business processes between any connected software or data sources in the enterprise without creating major changes to the software or data structures. EAI integrates numerous, independently developed software using incompatible technologies into ... Read More

EAI Solutions are changing from middleware messaging systems to Business process Integration. The EAI market is concentrated generally on the layers of the OSI model for EAI, viz., Integration middleware, and Interface Syntax. The main reason for the target on these two layers is the immaturity of the EAI industry and also that profits are simpler to produce in these two layers.Platform Integration − This supports connectivity between heterogeneous hardware, operating frameworks, and application platforms. There are several technologies supporting platform integration are −Messaging − this is for asynchronous connectivityRemote Procedure Calls − Synchronous connectivityObject Request Brokers − Both types ... Read More

EAI represents Enterprise Application Integration. It supports an integrated method to connecting the multiple components of the IT framework- people, software, platforms, and databases to allow secure, intra and inter-enterprise collaboration.EAI solutions allow an organization to integrate business procedures internally and externally with business partners to make dynamic environments that provide current and deriving business requirements, thereby generating a universal organization. There are several criteria for the EAI software checklist which are as follows −Topology Independence − The structure to choose for linking an integrated process depends on several factors like performance, timing requirement, event coordination, etc.Support for Multiple Operating ... Read More