This document presents a university recommendation system that uses machine learning algorithms like KNN and SVM to analyze student profile data and recommend top universities with the highest chance of admission. The system collects data on student attributes and admission outcomes from 45 universities on the edulix.com forum. It cleans, pre-processes and selects important features from the data. Models are trained using KNN and SVM classification and used to suggest a top 10 university list customized for new student profiles to maximize chances of acceptance. The system aims to help students struggling with the complex university selection process.
Abstract
Mostly 5 to 15% of the women in the stage of reproduction face the disease called Polycystic Ovarian Syndrome (PCOS) which is the multifaceted, heterogeneous and complex. The long term consequences diseases like endometrial hyperplasia, type 2 diabetes mellitus and coronary disease are caused by the polycystic ovaries, chronic anovulation and hyperandrogenism are characterized with the resistance of insulin and the hypertension, abdominal obesity and dyslipidemia and hyperinsulinemia are called as Metabolic syndrome (frequent metabolic traits) The above cause the common disease called Anovulatory infertility. Computer based information along with advanced Data mining techniques are used for appropriate results. Classification is a classic data mining task, with roots in machine learning. Naïve Bayesian, Artificial Neural Network, Decision Tree, Support Vector Machines are the classification tasks in the data mining. Feature selection methods involve generation of the subset, evaluation of each subset, criteria for stopping the search and validation procedures. The characteristics of the search method used are important with respect to the time efficiency of the feature selection methods. PCA (Principle Component Analysis), Information gain Subset Evaluation, Fuzzy rough set evaluation, Correlation based Feature Selection (CFS) are some of the feature selection techniques, greedy first search, ranker etc are the search algorithms that are used in the feature selection. In this paper, a new algorithm which is based on Fuzzy neural subset evaluation and artificial neural network is proposed which reduces the task of classification and feature selection separately. This algorithm combines the neural fuzzy rough subset evaluation and artificial neural network together for the better performance than doing the tasks separately.
Keywords: ANN, SVM, PCA, CFS
Multiple educational data mining approaches to discover patterns in universit...IJICTJOURNAL
This paper presented the utilization of pattern discovery techniques by using multiple relationships and clustering educational data mining approaches to establish a knowledge base that will aid in the prediction of ideal college program selection and enrollment forecasting for incoming freshmen. Results show a significant level of accuracy in predicting college programs for students by mining two years of student college admission and graduation final grade scholastic records. The results of educational predictive data mining methods can be applied in improving the services of the admission department of an educational institution, particularly in its course alignment, student mentoring, admission forecast, marketing, and enrollment preparedness.
Result generation system for cbgs scheme in educational organizationeSAT Journals
generation system. We will try to implement the rules as per University norms
according to the CBGS system. The necessity of this system is to ease the process of result generation and once the data is fed in
the system, could be used to calculate the result and generate it in the desired format. We can analyze this data and generate
various reports needed using some data mining techniques. The objective is to generate result that will be semester wise for each
student. Analyzing these reports would give various parameters such as students passing or failing, semester wise as well as
subject wise. The software will be accessible only to authorized users so that security could be maintained.
Key Words: CBGS System
Online Intelligent Semantic Performance Based Solution: The Milestone towards...AM Publications
As we analyse the computer application undergraduate logical-based courses in an assorted
environment of online assignments and exams and offline lectures, and exhibit the impact on academic routine of
factors such as classroom attendance, web-based course complement, and homework. We present grades from both
ordinary front ends and where the latter method controls for unobserved variation among students. A system
tailored intelligent instructional evaluation will generate the students, teachers & administration concepts,
discussing the predisposition in estimation when the ordinary evaluation method is used, resulting from the fact
that it ignores unobserved assorted. It also reduces the administrator’s load and helps provide the flexibility to
teacher’s need for mass evaluation. The Online Intelligent Semantic Performance based Solution is web
applications that ascertain an association between the institutes and the students. Institutes enter on the site, the
concepts they want in the exam. The questions based on the relevant concept and the syllabus is displayed as a test
to the eligible students. The answers entered by the students are then evaluated and their score is calculated and
saved. This score then can be accessed by the institutes to determine the passes students or to evaluate their
performance. It has been successfully applied to the distance evaluation of basic operating skills of computer
science, such as the course of computer skills in Universities and the local examination for the under graduates in
faridabad, Haryana.
This paper introduces the competency models for Operations Manager, User Interface
Designer, and Application Developers. It will serve as a guide for Information Systems students
to identify which among the three of the offered tracks would be most suited for them to pursue
according to their knowledge, skills, values and interests. The Holland’s RIASEC model and the
Values Search model of Bronwyn and Holt were utilized to determine the most dominant interest
and most dominant values of the industry computing experts. Survey assessment forms were sent
to IT Operations Manager, User Interface Designer, and Application Developer. Most dominant
values and interests of industry computing experts were determined as well as the knowledge
and skills which are mostly required by the industry in their particular area. Based on the result
of the survey, it shows that application developer and user interface designer have a closely
related values. Thus a second round of a survey would be needed to come up with the most
exclusive dominant values for the particular information systems specialization track.
Abstract
Mostly 5 to 15% of the women in the stage of reproduction face the disease called Polycystic Ovarian Syndrome (PCOS) which is the multifaceted, heterogeneous and complex. The long term consequences diseases like endometrial hyperplasia, type 2 diabetes mellitus and coronary disease are caused by the polycystic ovaries, chronic anovulation and hyperandrogenism are characterized with the resistance of insulin and the hypertension, abdominal obesity and dyslipidemia and hyperinsulinemia are called as Metabolic syndrome (frequent metabolic traits) The above cause the common disease called Anovulatory infertility. Computer based information along with advanced Data mining techniques are used for appropriate results. Classification is a classic data mining task, with roots in machine learning. Naïve Bayesian, Artificial Neural Network, Decision Tree, Support Vector Machines are the classification tasks in the data mining. Feature selection methods involve generation of the subset, evaluation of each subset, criteria for stopping the search and validation procedures. The characteristics of the search method used are important with respect to the time efficiency of the feature selection methods. PCA (Principle Component Analysis), Information gain Subset Evaluation, Fuzzy rough set evaluation, Correlation based Feature Selection (CFS) are some of the feature selection techniques, greedy first search, ranker etc are the search algorithms that are used in the feature selection. In this paper, a new algorithm which is based on Fuzzy neural subset evaluation and artificial neural network is proposed which reduces the task of classification and feature selection separately. This algorithm combines the neural fuzzy rough subset evaluation and artificial neural network together for the better performance than doing the tasks separately.
Keywords: ANN, SVM, PCA, CFS
Multiple educational data mining approaches to discover patterns in universit...IJICTJOURNAL
This paper presented the utilization of pattern discovery techniques by using multiple relationships and clustering educational data mining approaches to establish a knowledge base that will aid in the prediction of ideal college program selection and enrollment forecasting for incoming freshmen. Results show a significant level of accuracy in predicting college programs for students by mining two years of student college admission and graduation final grade scholastic records. The results of educational predictive data mining methods can be applied in improving the services of the admission department of an educational institution, particularly in its course alignment, student mentoring, admission forecast, marketing, and enrollment preparedness.
Result generation system for cbgs scheme in educational organizationeSAT Journals
generation system. We will try to implement the rules as per University norms
according to the CBGS system. The necessity of this system is to ease the process of result generation and once the data is fed in
the system, could be used to calculate the result and generate it in the desired format. We can analyze this data and generate
various reports needed using some data mining techniques. The objective is to generate result that will be semester wise for each
student. Analyzing these reports would give various parameters such as students passing or failing, semester wise as well as
subject wise. The software will be accessible only to authorized users so that security could be maintained.
Key Words: CBGS System
Online Intelligent Semantic Performance Based Solution: The Milestone towards...AM Publications
As we analyse the computer application undergraduate logical-based courses in an assorted
environment of online assignments and exams and offline lectures, and exhibit the impact on academic routine of
factors such as classroom attendance, web-based course complement, and homework. We present grades from both
ordinary front ends and where the latter method controls for unobserved variation among students. A system
tailored intelligent instructional evaluation will generate the students, teachers & administration concepts,
discussing the predisposition in estimation when the ordinary evaluation method is used, resulting from the fact
that it ignores unobserved assorted. It also reduces the administrator’s load and helps provide the flexibility to
teacher’s need for mass evaluation. The Online Intelligent Semantic Performance based Solution is web
applications that ascertain an association between the institutes and the students. Institutes enter on the site, the
concepts they want in the exam. The questions based on the relevant concept and the syllabus is displayed as a test
to the eligible students. The answers entered by the students are then evaluated and their score is calculated and
saved. This score then can be accessed by the institutes to determine the passes students or to evaluate their
performance. It has been successfully applied to the distance evaluation of basic operating skills of computer
science, such as the course of computer skills in Universities and the local examination for the under graduates in
faridabad, Haryana.
This paper introduces the competency models for Operations Manager, User Interface
Designer, and Application Developers. It will serve as a guide for Information Systems students
to identify which among the three of the offered tracks would be most suited for them to pursue
according to their knowledge, skills, values and interests. The Holland’s RIASEC model and the
Values Search model of Bronwyn and Holt were utilized to determine the most dominant interest
and most dominant values of the industry computing experts. Survey assessment forms were sent
to IT Operations Manager, User Interface Designer, and Application Developer. Most dominant
values and interests of industry computing experts were determined as well as the knowledge
and skills which are mostly required by the industry in their particular area. Based on the result
of the survey, it shows that application developer and user interface designer have a closely
related values. Thus a second round of a survey would be needed to come up with the most
exclusive dominant values for the particular information systems specialization track.
Similar to University Recommendation Support System using ML Algorithms (20)
Student information management system project report ii.pdfKamal Acharya
Our project explains about the student management. This project mainly explains the various actions related to student details. This project shows some ease in adding, editing and deleting the student details. It also provides a less time consuming process for viewing, adding, editing and deleting the marks of the students.
Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...Dr.Costas Sachpazis
Terzaghi's soil bearing capacity theory, developed by Karl Terzaghi, is a fundamental principle in geotechnical engineering used to determine the bearing capacity of shallow foundations. This theory provides a method to calculate the ultimate bearing capacity of soil, which is the maximum load per unit area that the soil can support without undergoing shear failure. The Calculation HTML Code included.
About
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Technical Specifications
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
Key Features
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface
• Compatible with MAFI CCR system
• Copatiable with IDM8000 CCR
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
Application
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Overview of the fundamental roles in Hydropower generation and the components involved in wider Electrical Engineering.
This paper presents the design and construction of hydroelectric dams from the hydrologist’s survey of the valley before construction, all aspects and involved disciplines, fluid dynamics, structural engineering, generation and mains frequency regulation to the very transmission of power through the network in the United Kingdom.
Author: Robbie Edward Sayers
Collaborators and co editors: Charlie Sims and Connor Healey.
(C) 2024 Robbie E. Sayers
Explore the innovative world of trenchless pipe repair with our comprehensive guide, "The Benefits and Techniques of Trenchless Pipe Repair." This document delves into the modern methods of repairing underground pipes without the need for extensive excavation, highlighting the numerous advantages and the latest techniques used in the industry.
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