Unit 1 Introduction to Data Structures(1).pptxvaibhavparjane
1. The document discusses data structures, defining them as a particular way of storing and organizing data in a computer so that it can be used efficiently.
2. A data structure consists of a set of data values, relationships between the data values, and functions that operate on the data. It provides an organized way to store and manipulate data.
3. Data structures are needed to facilitate efficient storage, retrieval, and manipulation of data. They help speed up processes by organizing data in a way that allows fast searching and access.
The document describes a student information management system project. It includes sections on the introduction, problem statement, objectives, scope, requirements analysis, feasibility study, system design, implementation, testing, maintenance, and conclusion. The project aims to develop a computerized system to manage student records and information to replace a manual paper-based system. The system will allow administrators to easily search, edit, and find student details and allow students to update their profiles. The requirements analysis and feasibility study ensure the project is technically, operationally, and economically feasible. Overall, the system aims to simplify student information management for organizations.
IRJET-Impact of Manual VS Automatic Transfer Switching on Reliability of Powe...IRJET Journal
The document describes a proposed e-learning system that uses cryptography and data mining techniques to provide security and personalized recommendations. Elliptic curve cryptography is used to authenticate users and encrypt data for security. A decision tree algorithm classifies learner information and course content to recommend additional courses tailored to each learner's interests and behavior. The system aims to address security and privacy issues in e-learning while enhancing the learning experience through targeted content filtering and recommendations.
This presentation discusses the following topics:
Introduction to Query Processing
Need for Query processing
Architecture of Query Processing
Query Processing Steps
Phases in a typical query processing
Represented in relational structures
Translating SQL Queries into Relational Algebra
Query Optimization
Importance of Query Optimization
Actions of Query Optimization
The document describes a student database management system created for T.B.G. Polytechnic in Ambajogai, India. The system was created to streamline processes like registration, admission, class and staff management by utilizing a database instead of manual records. The system uses a graphical user interface and database features for easy data entry, retrieval, and manipulation compared to paper records. This saves time and reduces paperwork.
IBM Data Analyst Professional Certificate - C01 - W01.pptxMOHAMEDAKRAMSADKI
The document outlines the key components of a professional certificate program for IBM data analysts. It discusses learning objectives around the modern data ecosystem, different data roles, types of data analysis, and the data analysis process. The responsibilities of a junior data analyst are also outlined, including acquiring data from various sources, cleaning and preparing data for analysis, using statistical tools to analyze patterns and correlations, reporting trends, and documenting the analysis process. A caution is provided that the course prepares students for junior data analyst roles and that there is high demand but limited supply for these positions.
This document provides lecture notes on data structures that cover key topics including:
- Classifying data structures as simple, compound, linear, and non-linear and providing examples.
- Defining abstract data types and algorithms, and explaining their structure and properties.
- Discussing approaches for designing algorithms and issues related to time and space complexity.
- Covering searching techniques like linear search and sorting techniques including bubble sort, selection sort, and quick sort.
- Describing linear data structures like stacks, queues, and linked lists and non-linear structures like trees and graphs.
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The document describes a proposed system to automate the analysis of student exam results that are typically provided as PDF files. The system would extract key data from the PDFs using PDFBox and store it in a database. It would then generate various reports like department topper lists automatically using queries on the stored data. This would make the exam result analysis process more efficient by reducing manual work and errors compared to current methods where data is copied from PDFs into excel manually. The proposed system aims to overcome limitations of existing semi-automated systems by allowing full automation of result extraction and analysis with features like interactive GUI, SMS/email notifications, and graphical result visualization.
Unit 1 Introduction to Data Structures(1).pptxvaibhavparjane
1. The document discusses data structures, defining them as a particular way of storing and organizing data in a computer so that it can be used efficiently.
2. A data structure consists of a set of data values, relationships between the data values, and functions that operate on the data. It provides an organized way to store and manipulate data.
3. Data structures are needed to facilitate efficient storage, retrieval, and manipulation of data. They help speed up processes by organizing data in a way that allows fast searching and access.
The document describes a student information management system project. It includes sections on the introduction, problem statement, objectives, scope, requirements analysis, feasibility study, system design, implementation, testing, maintenance, and conclusion. The project aims to develop a computerized system to manage student records and information to replace a manual paper-based system. The system will allow administrators to easily search, edit, and find student details and allow students to update their profiles. The requirements analysis and feasibility study ensure the project is technically, operationally, and economically feasible. Overall, the system aims to simplify student information management for organizations.
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The document describes a proposed e-learning system that uses cryptography and data mining techniques to provide security and personalized recommendations. Elliptic curve cryptography is used to authenticate users and encrypt data for security. A decision tree algorithm classifies learner information and course content to recommend additional courses tailored to each learner's interests and behavior. The system aims to address security and privacy issues in e-learning while enhancing the learning experience through targeted content filtering and recommendations.
This presentation discusses the following topics:
Introduction to Query Processing
Need for Query processing
Architecture of Query Processing
Query Processing Steps
Phases in a typical query processing
Represented in relational structures
Translating SQL Queries into Relational Algebra
Query Optimization
Importance of Query Optimization
Actions of Query Optimization
The document describes a student database management system created for T.B.G. Polytechnic in Ambajogai, India. The system was created to streamline processes like registration, admission, class and staff management by utilizing a database instead of manual records. The system uses a graphical user interface and database features for easy data entry, retrieval, and manipulation compared to paper records. This saves time and reduces paperwork.
IBM Data Analyst Professional Certificate - C01 - W01.pptxMOHAMEDAKRAMSADKI
The document outlines the key components of a professional certificate program for IBM data analysts. It discusses learning objectives around the modern data ecosystem, different data roles, types of data analysis, and the data analysis process. The responsibilities of a junior data analyst are also outlined, including acquiring data from various sources, cleaning and preparing data for analysis, using statistical tools to analyze patterns and correlations, reporting trends, and documenting the analysis process. A caution is provided that the course prepares students for junior data analyst roles and that there is high demand but limited supply for these positions.
This document provides lecture notes on data structures that cover key topics including:
- Classifying data structures as simple, compound, linear, and non-linear and providing examples.
- Defining abstract data types and algorithms, and explaining their structure and properties.
- Discussing approaches for designing algorithms and issues related to time and space complexity.
- Covering searching techniques like linear search and sorting techniques including bubble sort, selection sort, and quick sort.
- Describing linear data structures like stacks, queues, and linked lists and non-linear structures like trees and graphs.
Extract and Analyze Data from PDF File and Web : A ReviewIRJET Journal
The document describes a proposed system to automate the analysis of student exam results that are typically provided as PDF files. The system would extract key data from the PDFs using PDFBox and store it in a database. It would then generate various reports like department topper lists automatically using queries on the stored data. This would make the exam result analysis process more efficient by reducing manual work and errors compared to current methods where data is copied from PDFs into excel manually. The proposed system aims to overcome limitations of existing semi-automated systems by allowing full automation of result extraction and analysis with features like interactive GUI, SMS/email notifications, and graphical result visualization.
This document presents an internship report on developing a Student Information Management System. It discusses the objectives of developing such a system to centralized and automate the manual student records management process currently used by many educational institutions. The report outlines the system requirements, feasibility analysis, proposed system design including entity relationship diagrams, use cases, and functional requirements. It also describes the implementation, testing, maintenance plans for the developed system with the goal of streamlining the student data management process.
This document presents an internship report on developing a Student Information Management System. It discusses the objectives of developing such a system to centralized and automate the manual student records management process currently used by many educational institutions. The report outlines the system requirements, feasibility analysis, proposed system design including entity relationship diagrams, use cases, and functional requirements. It also describes the implementation, testing, maintenance plans for the developed system with the goal of streamlining the student data management process.
WEB-BASED DATA MINING TOOLS : PERFORMING FEEDBACK ANALYSIS AND ASSOCIATION RU...IJDKP
This document describes web-based data mining tools for performing association rule mining and feedback analysis on educational data. It presents two tools - one developed using ASP.NET for association rule mining to analyze elective course combinations, and one developed using PHP to collect and analyze student feedback on faculty performance and institutional infrastructure. The tools are intended to help educational institutions improve decision making, teaching effectiveness, and student outcomes by analyzing patterns in student feedback and course selection data. Sample outputs from applying the tools to student data demonstrate their ability to discover useful associations and evaluate performance.
Data mining referred to extracting the hidden predictive information from huge amount of data set. Recently, there are number of private institution are came into existence and they put their efforts to get fruitful admissions. In this paper, the techniques of data mining are used to analyze the mind setup of student after matriculate. One of the best tools of data mining is known as WEKA (Waikato Environment Knowledge Analysis), is used to formulate the process of analysis.
Data mining referred to extracting the hidden predictive information from huge amount of data set. Recently, there are number of private institution are came into existence and they put their efforts to get fruitful admissions. In this paper, the techniques of data mining are used to analyze the mind setup of student after matriculate. One of the best tools of data mining is known as WEKA (Waikato Environment Knowledge Analysis), is used to formulate the process of analysis.
CV INSPECTION USING NLP AND MACHINE LEARNINGIRJET Journal
The document describes a proposed system that uses machine learning and natural language processing to analyze job applicants' resumes and match them to job postings. It involves developing models trained on resume text to extract relevant skills and experience. Resumes and job descriptions are converted to standardized formats to be compared and scored. The aim is to more efficiently match qualified candidates to suitable positions based on their resume contents and skills.
An Empirical Study of the Applications of Classification Techniques in Studen...IJERA Editor
University servers and databases store a huge amount of data including personal details, registration details, evaluation assessment, performance profiles, and many more for students and lecturers alike. main problem that faces any system administration or any users is data increasing per-second, which is stored in different type and format in the servers, learning about students from a huge amount of data including personal details, registration details, evaluation assessment, performance profiles, and many more for students and lecturers alike. Graduation and academic information in the future and maintaining structure and content of the courses according to their previous results become importance. The paper objectives are extract knowledge from incomplete data structure and what the suitable method or technique of data mining to extract knowledge from a huge amount of data about students to help the administration using technology to make a quick decision. Data mining aims to discover useful information or knowledge by using one of data mining techniques, this paper used classification technique to discover knowledge from student’s server database, where all students’ information were registered and stored. The classification task is used, the classifier tree C4.5, to predict the final academic results, grades, of students. We use classifier tree C4.5 as the method to classify the grades for the students .The data include four years period [2006-2009]. Experiment results show that classification process succeeded in training set. Thus, the predicted instances is similar to the training set, this proves the suggested classification model. Also the efficiency and effectiveness of C4.5 algorithm in predicting the academic results, grades, classification is very good. The model also can improve the efficiency of the academic results retrieving and evidently promote retrieval precision.
This resume summarizes an individual with 12 years of experience in teaching, research, and patents. Some of the key details include:
- He has filed one patent that is currently awaiting examination and is working on a second patent. His education includes an MCA degree and pursuing a PhD.
- His research experience includes 18 published papers, guiding 4 master's students, and leading innovative projects. One of his patents is in an awaiting examination stage.
- His professional experience includes over 12 years as an Associate Professor teaching courses and coordinating online exams for over 500,000 students annually.
- He has received several awards for his research and papers, including two best paper awards and best reviewer awards from international journals
Cloud Computing Based System Integration in EducationIRJET Journal
This document discusses a system that integrates three education systems - a student management system, library management system, and placement/career management system - using cloud computing. The integration allows student data to be easily shared across the different systems. The key benefits of the integrated system are increased productivity, improved data sharing and reduced manual work. It describes the technical design of the integrated system, which uses APIs, databases and queues to enable communication and data sharing between the three systems. It then provides results showing example student data being added to the student system and then reflected in the other two integrated systems.
Suryepalli Sudhakar has over 15 years of experience in IT administration and documentation roles. He has a degree in commerce and certifications in hardware engineering, networking, and as a Microsoft Certified Systems Administrator. His experience includes roles as an archivist and IT administrator for clinical research organizations where he prepared documents, maintained electronic records and archives, administered computer networks and systems, and trained other staff. He aims to obtain a position that challenges him and allows him to quickly adapt to new environments and technologies.
CompTIA Data+ provides your team members with the confidence to make data analysis come to reality.
As the need for data analytics increases and more roles will be required to provide the right context and improve communication of vital business intelligence. The process of collecting, analyzing the data and reporting it on can help drive your company's priorities and guide in business making
CompTIA data+ is an early-career, data analytics certification that provides you with assurance that you can bring your data analysis into life and take decision-making based on data.
Click here to read more about it:
This document contains the resume of Malai Mueangsri. It summarizes her personal details, education, professional qualifications, and work experience spanning over 25 years. She holds an M.S. in Computer and Information Technology and a B.S. in Computer Science. Her most recent role is as the Information Technology Department Manager at Summit Electronic Component Ltd., where she manages their ERP system, IT infrastructure, and various IT systems. Prior to this, she held roles such as Information Technology & Knowledge Management Manager and Assistant Project Manager with increasing levels of responsibility.
project synopsis face recognition attendance systemAnkitRao82
This document summarizes the proposed development of a face recognition system for student attendance. The key objectives are to automate attendance tracking through facial recognition to reduce manual errors and increase efficiency. The methodology uses image capture, face detection, preprocessing, database development and post processing. Features will be extracted from images using LBP and PCA for classification and recognition. A feasibility study found the system would be operationally and technically feasible with no need for additional hardware or software costs.
Comparing the performance of a business process: using Excel & PythonIRJET Journal
This document compares using Excel versus Python for business process performance and data analysis. It finds that Python offers advantages for handling large datasets, easily performing complex analysis tasks like filtering, merging datasets, and detecting duplicates. Python also allows for easier creation of dashboards, maintains data integrity by storing it securely in databases, and enables real-time sharing. The conclusion is that Python is a superior automated method for data-driven business analysis and decision-making compared to Excel.
This document provides information for the course "Introduction to Data Science" (ITEC-313) at Jazan University. The course is a required 3 credit hour course consisting of 2 hours of theory and 2 hours of lab per week. The course objectives are to describe data science and the needed skill sets, understand the data science process and how its components interact, carry out basic statistical modeling and analysis, and apply the data science process in a case study. Topics covered include data collection/integration, exploratory data analysis, predictive/descriptive modeling, and effective communication. The course aims to equip students with basic data science principles, concepts, techniques and tools. It will be assessed through assignments, exams, quizzes
Online Exams System fulfils the requirements of the institutes to conduct the exams online. They do not have to go to any software developer to make a separate site for being able to conduct exams online. They just have to register on the site and enter the exam details and the lists of the students which can appear in the exam.
This document provides a project report for an automated fees collection system created by Yash Duggall. The report includes sections on the introduction, objectives, advantages, hardware/software requirements, analysis, input/output design, system characteristics, and recognition of need for the system. The system was created to automate an institute's manual fees collection process in order to make it more efficient by reducing paperwork, errors, and time spent on tasks like updating records and generating reports.
get more idea about data science & how its works
http://techwaala.in/whats-data-science/about
#data
#datascience
#dataengneering
#machinelearning
#datascience
#bigdata
#dataanalyst
Tools & Techniques for Commissioning and Maintaining PV Systems W-Animations ...Transcat
Join us for this solutions-based webinar on the tools and techniques for commissioning and maintaining PV Systems. In this session, we'll review the process of building and maintaining a solar array, starting with installation and commissioning, then reviewing operations and maintenance of the system. This course will review insulation resistance testing, I-V curve testing, earth-bond continuity, ground resistance testing, performance tests, visual inspections, ground and arc fault testing procedures, and power quality analysis.
Fluke Solar Application Specialist Will White is presenting on this engaging topic:
Will has worked in the renewable energy industry since 2005, first as an installer for a small east coast solar integrator before adding sales, design, and project management to his skillset. In 2022, Will joined Fluke as a solar application specialist, where he supports their renewable energy testing equipment like IV-curve tracers, electrical meters, and thermal imaging cameras. Experienced in wind power, solar thermal, energy storage, and all scales of PV, Will has primarily focused on residential and small commercial systems. He is passionate about implementing high-quality, code-compliant installation techniques.
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This document presents an internship report on developing a Student Information Management System. It discusses the objectives of developing such a system to centralized and automate the manual student records management process currently used by many educational institutions. The report outlines the system requirements, feasibility analysis, proposed system design including entity relationship diagrams, use cases, and functional requirements. It also describes the implementation, testing, maintenance plans for the developed system with the goal of streamlining the student data management process.
This document presents an internship report on developing a Student Information Management System. It discusses the objectives of developing such a system to centralized and automate the manual student records management process currently used by many educational institutions. The report outlines the system requirements, feasibility analysis, proposed system design including entity relationship diagrams, use cases, and functional requirements. It also describes the implementation, testing, maintenance plans for the developed system with the goal of streamlining the student data management process.
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Data mining referred to extracting the hidden predictive information from huge amount of data set. Recently, there are number of private institution are came into existence and they put their efforts to get fruitful admissions. In this paper, the techniques of data mining are used to analyze the mind setup of student after matriculate. One of the best tools of data mining is known as WEKA (Waikato Environment Knowledge Analysis), is used to formulate the process of analysis.
Data mining referred to extracting the hidden predictive information from huge amount of data set. Recently, there are number of private institution are came into existence and they put their efforts to get fruitful admissions. In this paper, the techniques of data mining are used to analyze the mind setup of student after matriculate. One of the best tools of data mining is known as WEKA (Waikato Environment Knowledge Analysis), is used to formulate the process of analysis.
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The document describes a proposed system that uses machine learning and natural language processing to analyze job applicants' resumes and match them to job postings. It involves developing models trained on resume text to extract relevant skills and experience. Resumes and job descriptions are converted to standardized formats to be compared and scored. The aim is to more efficiently match qualified candidates to suitable positions based on their resume contents and skills.
An Empirical Study of the Applications of Classification Techniques in Studen...IJERA Editor
University servers and databases store a huge amount of data including personal details, registration details, evaluation assessment, performance profiles, and many more for students and lecturers alike. main problem that faces any system administration or any users is data increasing per-second, which is stored in different type and format in the servers, learning about students from a huge amount of data including personal details, registration details, evaluation assessment, performance profiles, and many more for students and lecturers alike. Graduation and academic information in the future and maintaining structure and content of the courses according to their previous results become importance. The paper objectives are extract knowledge from incomplete data structure and what the suitable method or technique of data mining to extract knowledge from a huge amount of data about students to help the administration using technology to make a quick decision. Data mining aims to discover useful information or knowledge by using one of data mining techniques, this paper used classification technique to discover knowledge from student’s server database, where all students’ information were registered and stored. The classification task is used, the classifier tree C4.5, to predict the final academic results, grades, of students. We use classifier tree C4.5 as the method to classify the grades for the students .The data include four years period [2006-2009]. Experiment results show that classification process succeeded in training set. Thus, the predicted instances is similar to the training set, this proves the suggested classification model. Also the efficiency and effectiveness of C4.5 algorithm in predicting the academic results, grades, classification is very good. The model also can improve the efficiency of the academic results retrieving and evidently promote retrieval precision.
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CompTIA Data+ provides your team members with the confidence to make data analysis come to reality.
As the need for data analytics increases and more roles will be required to provide the right context and improve communication of vital business intelligence. The process of collecting, analyzing the data and reporting it on can help drive your company's priorities and guide in business making
CompTIA data+ is an early-career, data analytics certification that provides you with assurance that you can bring your data analysis into life and take decision-making based on data.
Click here to read more about it:
This document contains the resume of Malai Mueangsri. It summarizes her personal details, education, professional qualifications, and work experience spanning over 25 years. She holds an M.S. in Computer and Information Technology and a B.S. in Computer Science. Her most recent role is as the Information Technology Department Manager at Summit Electronic Component Ltd., where she manages their ERP system, IT infrastructure, and various IT systems. Prior to this, she held roles such as Information Technology & Knowledge Management Manager and Assistant Project Manager with increasing levels of responsibility.
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get more idea about data science & how its works
http://techwaala.in/whats-data-science/about
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#dataengneering
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Null Bangalore | Pentesters Approach to AWS IAMDivyanshu
#Abstract:
- Learn more about the real-world methods for auditing AWS IAM (Identity and Access Management) as a pentester. So let us proceed with a brief discussion of IAM as well as some typical misconfigurations and their potential exploits in order to reinforce the understanding of IAM security best practices.
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#Prerequisites:
- Basic understanding of AWS services and architecture
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# Scenario Covered:
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- Exploiting IAM PassRole Misconfiguration
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many companies are choosing E-Recruitment as the best
choice for recruitment. E-Recruitment is being done
through many online platforms like Linkedin, Naukri,
Instagram , Facebook etc. Now with high technology E-
Recruitment has gone through next level by using
Artificial Intelligence too.
Key Words : Talent Management, Talent Acquisition , E-
Recruitment , Artificial Intelligence Introduction
Effectiveness of Talent Acquisition through E-
Recruitment in this topic we will discuss about 4important
and interlinked topics which are
A high-Speed Communication System is based on the Design of a Bi-NoC Router, ...DharmaBanothu
The Network on Chip (NoC) has emerged as an effective
solution for intercommunication infrastructure within System on
Chip (SoC) designs, overcoming the limitations of traditional
methods that face significant bottlenecks. However, the complexity
of NoC design presents numerous challenges related to
performance metrics such as scalability, latency, power
consumption, and signal integrity. This project addresses the
issues within the router's memory unit and proposes an enhanced
memory structure. To achieve efficient data transfer, FIFO buffers
are implemented in distributed RAM and virtual channels for
FPGA-based NoC. The project introduces advanced FIFO-based
memory units within the NoC router, assessing their performance
in a Bi-directional NoC (Bi-NoC) configuration. The primary
objective is to reduce the router's workload while enhancing the
FIFO internal structure. To further improve data transfer speed,
a Bi-NoC with a self-configurable intercommunication channel is
suggested. Simulation and synthesis results demonstrate
guaranteed throughput, predictable latency, and equitable
network access, showing significant improvement over previous
designs
Prediction of Electrical Energy Efficiency Using Information on Consumer's Ac...PriyankaKilaniya
Energy efficiency has been important since the latter part of the last century. The main object of this survey is to determine the energy efficiency knowledge among consumers. Two separate districts in Bangladesh are selected to conduct the survey on households and showrooms about the energy and seller also. The survey uses the data to find some regression equations from which it is easy to predict energy efficiency knowledge. The data is analyzed and calculated based on five important criteria. The initial target was to find some factors that help predict a person's energy efficiency knowledge. From the survey, it is found that the energy efficiency awareness among the people of our country is very low. Relationships between household energy use behaviors are estimated using a unique dataset of about 40 households and 20 showrooms in Bangladesh's Chapainawabganj and Bagerhat districts. Knowledge of energy consumption and energy efficiency technology options is found to be associated with household use of energy conservation practices. Household characteristics also influence household energy use behavior. Younger household cohorts are more likely to adopt energy-efficient technologies and energy conservation practices and place primary importance on energy saving for environmental reasons. Education also influences attitudes toward energy conservation in Bangladesh. Low-education households indicate they primarily save electricity for the environment while high-education households indicate they are motivated by environmental concerns.
1. SANJIVANI K. B. P. POLYTECHNIC,
KOPARGAON
With NBA ACCREDIATED programs , Approved by AICTE, New Delhi,
Recognized by Govt. of Maharashtra, Affiliated to Maharashtra State Board of
Technical Education, Mumbai, ISO 9001:2015 Certified Institute
Name of Faculty: Prof. Vaibhav A. Parjane
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2. Topics to be Covered
Need of Data Structure
Why Data Structure?
Abstract Data Type [ADT]
Sanjivani K. B. P. Polytechnic Kopargaon Department of Computer Technology Prof. Vaibhav A. Parjane 2
3. Need of Data Structure
Goal:
To Organise data
Criteria: To facilitate efficient
Storage of data
Retrieval of data
Manipulation of data
Design Issue:
Select and design appropriate data types
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Sanjivani K. B. P. Polytechnic Kopargaon Department of Computer Technology Prof. Vaibhav A. Parjane
4. Why Data Structure?
1. Data Search:
If data is not organized then it will be very difficult to search an
element each time, which will create a complexity.
2. Process Speed:
Large data processing takes time, so if we know what to find and
where to find make the process fast.
3. Multiple Request:
As the database is used to store data and provide information as
required by different users at the same time. So to handle these
requests organization of data and request prioritization is required.
4. Efficiency:
Data structure increases the efficiency by providing the data in the
correct format and in a quicker way.
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Sanjivani K. B. P. Polytechnic Kopargaon Department of Computer Technology Prof. Vaibhav A. Parjane
5. Abstract Data Type [ADT]
• Abstract data types (often written ADT for short) are data types
whose implementation details are hidden from user view for the
data structure.
• The abstract data type is special kind of datatype, whose behaviour
is defined by a set of values and set of operations.
Abstraction in case of Data:
1. Abstraction for primitive data type ( int, char, float) is provided by
the compiler.
2. Eg: we use integer type of data and perform various operations
on them without knowing -
1. Representation.
2. How various operations are performed on them.
Eg: int x , y , z; x = -13
Constant -13 is converted to 2’s complement and then stored in ‘x’ .
Representation is handled by the compiler.
x = y + z ; meaning of ‘+’ is defined by the compiler and its
implementation details remain hidden from the user.
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Sanjivani K. B. P. Polytechnic Kopargaon Department of Computer Technology Prof. Vaibhav A. Parjane