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Articles by Kiran Kumar Panigrahi
Page 21 of 32
Difference between GIF and PNG
GIF and PNG are types of image formats to store images. Both GIF and PNG are pixelbased image formats. Both use lossless compression algorithms and support transparency. GIF images support animation as well. Read this article to find out more about GIF and PNG formats and how they are different from each other. Let's start with a brief overview of these two image formats. What is GIF? GIF stands for Graphical Interchange Format. GIF is an image file format that uses lossless compression algorithm. Therefore, the GIF images are of high quality, but a GIF image supports only 256 colors. ...
Read MoreDifference Between E-R Model and Relational Model in DBMS
In Database Management Systems (DBMS), the ways of designing databases at physical, logical, and view levels are referred to as Data Models. There are two popular data models− the ER Model and the Relational Model. The fundamental difference between the ER Model and the Relational Model is that the ER Model is an entityspecific data model, while the relational model is a table specific model. Read this article to find out more about the ER Model and the Relational Model and how they are different from each other. What is ER Model? ER Model, short for Entity Relationship Model, is ...
Read MoreDifference Between Direct and Indirect Addressing Modes
There are two types of addressing modes, namely, direct addressing mode and indirect addressing mode. In direct addressing mode, the actual address of the data is mentioned in the instructions itself. On the other hand, indirect addressing mode contains the effective address of the memory location where the actual address of the data resides. Read this article to find out more about direct and indirect addressing modes and how they are different from each other. Let's start with a basic introduction of these two types of addressing modes. What is Direct Addressing Mode? The Direct addressing mode is one that ...
Read MoreDifference between Decoder and Demultiplexer
Both decoder and demultiplexer are types combinational logic circuits used for implementing different types of digital systems. However, the function of a decoder is completely different from that of a demultiplexer. A decoder is a combination logic circuit that decrypts an input data stream from one format to another, whereas a demultiplexer is a combination circuit that routes the data from one input line to any of the multiple output lines. Read this article to find out more about decoders and demultiplexers and how they are different from each other. Let's start with a basic overview of these two combinational ...
Read MoreDifference Between Data Warehouse and Data Mart
Both data warehouses and data marts serve the same purpose; they are data repositories. However, we can differentiate a data warehouse from a data mart on the basis of the amount of data they can store. A data warehouse a large repository of data that is collected from different organizations, whereas a data mart is a logical subset of a data warehouse. Read this article to find out more about data warehouses and data marts and how they are different from each other. Let's start with a basic overview of the two. What is a Data Warehouse? Data Warehouse is ...
Read MoreDifference between Data Mining and Big Data
Big Data represents the vast amount of data that can be structured, semi−structured, and unstructured sets of data ranging in terms of terabytes. In contrast, Data Mining is the process of discovering meaningful new correlations, patterns, and trends by sifting through a large amount of data stored in repositories, using pattern recognition technologies as well as statistical and mathematical techniques. Data mining utilizes tools like machine learning, visualization, statistical models, etc. to extract the useful data from the Big Data. Read this article to find out more about Data Mining and Big Data and how they are different from each ...
Read MoreDifference Between Data Hiding and Encapsulation
Data Hiding and Encapsulation are important concepts in object-oriented programming (OOP). Data hiding helps prevent the illegal or unauthorized access of members of a class, while encapsulation helps in the wrapping up of data members and methods inside a class. The most basic difference between data hiding and encapsulation is that data hiding focuses on data security, while encapsulation focuses on hiding the complexity of the system. Read this article to find out more about Data Hiding and Encapsulation and how they are different from each other. Let's start with a basic overview of these two important concepts, Data Hiding ...
Read MoreDifference Between Cohesion and Coupling
The most basic difference between cohesion and coupling is that coupling is the representation of relationships between modules which uses the concept of inter−module, while cohesion is the intramodule representation of the relationship between modules. Read this article to find out more about Cohesion and Coupling and how these two important concepts are different from each other. What is Cohesion? In computer programming, cohesion is an indication that shows the relationship within modules. Cohesion provides the information about the functional strength of the modules. The greater the cohesion, the better will be the program design. Cohesion is basically the dependency ...
Read MoreDifference Between Classification and Regression
In data mining, there are two major predication problems, namely, classification and regression. The most basic difference between classification and regression is that classification algorithms are used to analyze discrete values, whereas regression algorithms analyze continuous real values. The output variable must be either continuous nature or real value. The output variable in classification has to be a discrete value. In contrast, the output variable in regression must be either continuous in nature or real values. In this article, we will discuss all the important differences between classification and regression. Let's start with some basics of Classification and Regression so ...
Read MoreDifference Between Cardinality and Modality
For understanding the information domain of a problem, there are two data modelling concepts, namely, cardinality and modality. Cardinality and modality are very important for analyzing the data objects, attributes, and relationship structures. The most basic difference between cardinality and modality is that the cardinality is a metric that specifies the number of occurrences of a data object with respect to the number of occurrences of another data object, whereas, the modality specifies whether a data object must participate in a relationship or not. In this article, we will discuss the important differences between cardinality and modality. Let's start with ...
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