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Data preprocessing is an important process of data mining. In this process, raw data is converted into an understandable format and made ready for further analysis. The motive is to improve data quality and make it up to mark for specific tasks. Tasks in Data Preprocessing Data cleaning Data cleaning help us remove inaccurate, incomplete and incorrect data from the dataset. Some techniques used in data cleaning are − Handling missing values This type of scenario occurs when some data is missing. Standard values can be used to fill up the missing values in a manual way but ... Read More
The goal is to determine the minimum time required to complete the tasks in queue A based on the order of execution in queue B, given two queues A and B, each of size N, where: Pop this task and run it if the task identified at the head of queue B is also at the head of queue A. Pop the current task from queue A and push it at the end if the task discovered at the front of queue B is not also found at the front of queue A. One unit of time is ... Read More
Data Objects Data objects refers to a collection of various attributes which are combined to make it understandable. Data object values have their own unique id, attribute and data types. The most common type is the data table. Data objects are mostly represented in data models, which resolve with the relationship among the data objects. Types of Data Objects Array is a one-dimension data object. i.e, can be a single column in a table. Example Student Name Aman Naman Monu Records Records refers to a single row for every ... Read More
Given are N processes and two N−sized arrays, arr1[] and arr2[]. A process's time in the critical section is recorded in arr1[], and it’s time to finish processing after leaving the critical part is recorded in arr2. The goal is to determine how long it will take for each process to finish processing (both inside and outside of the critical section) in any given order. Input Output Scenarios Assume we have 3 arrays as shown below Input N = 3, arr1[] = {1, 4, 3}, arr2[] = {2, 3, 1} Output 9 The first process, at ... Read More
In this article, you will learn about how to find the order of execution for the given N processes in the Round Robin Scheduling algorithm. But before starting with the code, let’s understand a bit about how this algorithm works. Round Robin Scheduling is a popular CPU scheduling algorithm used in operating systems to allocate CPU time to multiple processes in a fair and efficient manner. In this blog, we will explore how round−robin scheduling works, its advantages and disadvantages, and provide an example to help you understand the concept better. What is Round Robin Scheduling? Round Robin Scheduling is ... Read More
Data modeling refers to the process of handling and designing the data model within a data warehouse platform. It consists of making an appropriate database schema so as to transfer the data that can be stored and of useful to user. Data warehouse modeling is used for two reasons, first is that relationship within the warehouse data can be visualised through the schema and second is that the cost is reduced and efficiency is increased with the help of well-designed schema which allow effective data warehouse structure to occur. Data modeling is different in data warehouse than in operational database ... Read More
Data Mining The process of extracting the data from a huge dataset that can be used for analysis and benefit of the organisation. This process helps in identifying patterns and managing relationship among the data to predict business problems. Data attributes An attribute can be defined as characteristics or property of an object. Object is described by attributes set and is referred to as a record of entity. Entity is described by a fraction of data i.e. attributes. For Example:In a Student database. (Name, id, Roll_no, Marks) are the attributes in provided database. Types of Attributes Nominal Attribute It only ... Read More
A 3−tier application architecture is a modular client−server architecture that consists of a presentation tier, an application tier, and a data tier. The presentation tier is a graphical user interface (GUI) that interacts with the other two tiers; the data tier stores information; the application tier manages logic. A 3−tier architecture has pros in terms of better horizontal scalability, performance, and availability. When there are three layers, each component can be produced concurrently by a separate team of programmers using a different programming language than the developers of the other levels. The 3−tier paradigm makes it simpler for an organization ... Read More
The process of extracting the data from a huge dataset that can be used for analysis and benefit of the organization. Data mining process generally involves the following steps − Business understanding Business understanding and client objective is necessary. Clients needs are to be defined and then using the scenario, data mining goals are defined. Data understanding Data is collected from different sources and explored to understand the properties and characteristics of data. Data preparation The data that is being collected are now selected, cleaned, transformed, preprocessed and constructed so as to make it ready for analysis. This process takes ... Read More
Introduction In this tutorial, we discuss the problem of finding the largest component size in a graph generated by connecting non-co-prime nodes through C++. Graphs are formed by nodes connected by edges. The components of the graph are a subset of values that form nodes. There is an array a[] which forms graph G. The components of the graph are a subset of values that form nodes. The non-coprime numbers are the numbers that have a HCF (Highest Common Factor) other than 1, that means they have some other common factors. We solve the problem statement in this tutorial using ... Read More