In objectoriented programming, there are two important concepts of polymorphism namely, function overloading and function overriding. When two or more functions have the same name but their parameters are different, it is called function overloading. On the other hand, function overriding is one that provides a facility to redefine ... Read More

Both Forward and Reverse Engineering are related to the re-implementation of the legacy systems to achieve more sustainability. On the basis of the mode of creation, we can classify these modes as Forward and Reverse Engineering. Read this article to learn more about forward engineering and reverse engineering and how ... Read More

In the context of programming, an Algorithm is a set of well-defined instructions in sequence to perform a particular task and achieve the desired output. Here we say "a set of defined instructions" which means that somewhere the user knows the outcome of those instructions if they get executed in ... Read More

Descriptive data mining and predictive data mining are mining techniques that are used to find useful information and patterns in large datasets. Descriptive data mining is a data mining technique that analyzes the past data to provide latest information on past events, while predictive data mining is a data mining ... Read More

DELETE is a Data Manipulation Language (DML) command. It is used to remove tuples/records from a relation/table. On the other hand, DROP is a Data Definition Language (DDL) command and is used to remove named elements of schema like relations/table, constraints or entire schema. Read this article to learn more ... Read More

Data Mining and Machine Learning are two fields which have influenced each other. Data mining is the field in which operations are performed on sets of data to determine certain patterns in the data sets, whereas machine learning uses certain algorithms that automatically improves the analysis processes through data based ... Read More

Data mining is the procedure of exploration and analysis of huge quantities of data to find meaningful patterns and rules. On the other hand, web mining defines the process of using data mining techniques to extract useful data patterns and trends from web-based records and services, server logs, and hyperlinks. ... Read More

In businesses, in order to predict future issues, it is very important to analyze the past and present data. For this purpose, there are several data analysis techniques available like data mining and statistics.Data mining and statistics are used for making data-driven decisions; these are basically the primary components of ... Read More

Data mining is a process of extracting useful information and data patterns from data, whereas a data warehouse is a database management system developed to support the management functions. Read this article to learn more about Data Mining and Data Warehousing and how they are different from each other. What ... Read More

Data mining and data science are the two most important concepts in information technology. Data mining is a process of determining useful information, trends, and patterns from large databases, so that these parameters can be used to solve several business problems. On the other hand, data science is the process ... Read More