Advantages of Data MiningThe advantage of data mining are as follows −Marketing/RetailingData mining can help direct marketers by supporting them with useful and accurate trends about their users purchasing behavior. It is based on these trends, marketers can direct their marketing attention to their customers with more precision. For example, ... Read More

Data mining is the process of discovering meaningful new correlations, patterns, and trends by shifting through large amounts of data stored in repositories, using pattern recognition technologies as well as statistical and mathematical techniques. It is the analysis of observational datasets to find unsuspected relationships and to summarize the data ... Read More

An OLAM server performs analytical mining in data cubes similarly to an OLAP server performs online analytical processing. An integrated OLAM and OLAP mechanism, where the OLAM and OLAP servers both accept user online queries (or commands) via a graphical user interface API and operate with the data cube in ... Read More

Relational OLAP (ROLAP) serversThese are the intermediate servers that stand in among a relational back-end server and client front-end tools. They facilitate a relational or extended-relational DBMS to save and manage warehouse data, and OLAP middleware to provide the missing item.ROLAP servers involve optimization for each DBMS back end, implementation ... Read More

OLAM stands for Online analytical mining. It is also known as OLAP Mining. It integrates online analytical processing with data mining and mining knowledge in multi-dimensional databases. There are several paradigms and structures of data mining systems.Various data mining tools must work on integrated, consistent, and cleaned data. This requires ... Read More

Data warehouses and data marts are used in a broad area of applications. Business executives use the data in data warehouses and data marts to implement data analysis and create strategic decisions. In some firms, data warehouses are used as an integral element of a plan-execute-assess “closed-loop” feedback system for ... Read More

Data warehouses contain huge volumes of data. OLAP servers demand that decision support queries be acknowledged in the order of seconds. Thus, it is essential for data warehouse systems to provide highly effective cube computation techniques, access techniques, and query processing techniques.Efficient Computation of Data CubesAt the core of multidimensional ... Read More

OLAP stands for On-Line Analytical Processing. OLAP is a categorization of software technology that authorizes analysts, managers, and executives to profit insight into information through quick, consistent, interactive access in a broad variety of possible views of information that has been transformed from raw data to reflect the real dimensionality ... 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 refers to a database that is maintained separately from an ... Read More

Data Warehouses usually have a three-level (tier) architecture that involves −The bottom tier is a warehouse database server that is relatively always a relational database system. Back-end tools and utilities are used to feed records into the bottom tier from operational databases or other external sources (including user profile data ... Read More