Introduction to Data Preprocessing and its Types
What is Data preprocessing? Data preprocessing is a data mining technique that involves transforming incomplete, inconsistent, and/or noisy data which increase chances of error and misinterpretation, into an understandable format. …...
Why do we need Data Mart? Types of Data Mart
What is Data Mart? Data mart is subset of data warehouse oriented to particular business subject line. The data mart contains repository of summarized data collected for analysis for specific …...
Challenges of Data Mining
In several sectors, data mining and knowledge discovery is becoming a critical technology for businesses and researchers. While data mining is becoming a well-established and reputable subject, there are still …...
Study about Data Object and Attribute Types
Data sets are made up of data objects. A data object represents an entity. Examples: – sales database: customers, store items, sales – medical database: patients, treatments – university database: …...
Knowledge Discovery in Database(KDD)
Knowledge Discovery in Databases (KDD) Knowledge Discovery in a database is the process of discovering useful knowledge from a collection of data .This widely used data mining technique is a …...
Data Mining functionalities
Data mining functions are used to define the kind of patterns that will be discovered during data mining jobs. Some of the major data mining functionalities are as follows: Class/ …...
Introduction To Data Mining
Motivation for Data Mining Over the last three decades, the steady and remarkable advancement of computer hardware technology has resulted in a large supply of powerful and affordable computers, data …...
What are the Components of Data Warehouse and it’s need?
Components of Data Warehouse A typical data warehouse consists of four major components: a central database, ETL (extract, transform, and load) tools, metadata, and access tools. All of these components …...
Architecture of data warehouse
Three-tier data warehouse architecture is the most widely used architecture of data warehouse as it produces a well-organized data flow from raw information to valuable insights. It consists of the …...
Conceptual Modelling of Data Warehouse
The conceptual data model is a structured business view of data required to support business, processes,record business events and track related performance measures. This model focuses on identifying data used …...
