Nan Yu Hlaing - Academia.edu (original) (raw)

Papers by Nan Yu Hlaing

Today classification techniques in data mining are most popular to prediction and data exploratio... more Today classification techniques in data mining are most popular to prediction and data exploration. This Heart Disease Prediction System HDPS is using Naive Bayesian Classification with a comparison for simple probability and that of Jelinek Mercer JM Smoothing. It is implemented as an Android based application user must be feedback and answers the questions then can be seen the result as user desired in different ways exactly heart disease is present or not and then with predictions No, Low, Average, High, Very High . And the system will be provided required suggestions such as doctor details and medications to patients could be able. It will be also proved that enhanced Naive Bayes with Jelinek Mercer smoothing technique is also effective to eliminate the noise for prediction the heart disease. This system can also calculate classifier accuracy by using precision and recall. Nan Yu Hlaing | Phyu Pyar Moe "Android Based Questionnaires Application for Heart Disease Prediction S...

This paper attempts to offer the evaluation of teacher’s ability and the forecasting of students’... more This paper attempts to offer the evaluation of teacher’s ability and the forecasting of students’ career opportunities. Teacher’s ability is decided based on the student’s feedback, active participation in the class, students’ result in the tests and the teacher’s competency. Feedback is an essential element in the learning process. Students’ feedback is an effective tool for teacher evaluation resulting in teacher development. The career opportunity available for a student is a significant area that determines the ranking of a university. This research will also forecast the student’s career based on their individual subject grade. The system analyzes the teacher’s ability by using Sentiment Analysis which is known as Opinion Mining technique. Student career forecast is based on predictive analytic. It comprises of a variety of techniques that predict future outcomes based on historical and current data.

Parsing is breaking a sentence into its constituent nonterminal. Parsing is useful in the study o... more Parsing is breaking a sentence into its constituent nonterminal. Parsing is useful in the study of artificial intelligence for various reasons, such as, for an index-term generation in an information retrieval; for the extraction of collocation knowledge from large corpora; development of computational tools for language analysis. In this paper, a framework for stochastic parsing of Myanmar Language is presented. This parsing system will use the context free grammar and stochastic context free grammar. Myanmar sentence will be accepted as input. And then this input sentence will be tokenized, segmented and assigned part of speech tags. Finally, stochastic parse tree will be generated by using stochastic context free grammar as the output of stochastic parsing system.

Agriculture is an important role in our country, Myanmar. The most common crops are paddy, beans ... more Agriculture is an important role in our country, Myanmar. The most common crops are paddy, beans and pulses, and corns and so on. The production of crops per hectare is decreased due to weather conditions, atmospheric changes and loss of soil nutrition, wrongly used of fertilizer. Most of the farmers faces some challenges of infected crops. This system is implemented to predict results and to identify the paddy leaf diseases by capturing image of leaves and answered the questions of leaf symptoms. Paddy disease can be detected with image processing techniques and prediction can be enhance using K-mean clustering algorithm by identifying different kinds of cluster and capturing infected area of the paddy leaf. This system can provide some advice to the farmers, can solve the problems and to recover from these diseases.

One of the experiments of user preference information retrieval is to rank the most relevant docu... more One of the experiments of user preference information retrieval is to rank the most relevant documents. This system used MARS (Multiplicative Adaptive Refinement Search) algorithm for user preference information. User can give a query as an input. The input is the query that contains song name, song types, singer names that are part of the information which the user wants to know. The song information is retrieved from the web pages. The system returns the song information that is related to the input query that similarity values of web pages and query by using Cosine Similarity. From the initial result, user’s preference can mark by clicking the corresponding check box at interface. When the user marked the relevant document, and then refined by using MARS algorithm. The end result is the collection of documents list at a central location. The relevant documents are showed at the top of the system as output. This is called for choosing the proper methods to evaluate the system perf...

Today classification techniques in data mining are most popular to prediction and data exploratio... more Today classification techniques in data mining are most popular to prediction and data exploration. This Heart Disease Prediction System HDPS is using Naive Bayesian Classification with a comparison for simple probability and that of Jelinek Mercer JM Smoothing. It is implemented as an Android based application user must be feedback and answers the questions then can be seen the result as user desired in different ways exactly heart disease is present or not and then with predictions No, Low, Average, High, Very High . And the system will be provided required suggestions such as doctor details and medications to patients could be able. It will be also proved that enhanced Naive Bayes with Jelinek Mercer smoothing technique is also effective to eliminate the noise for prediction the heart disease. This system can also calculate classifier accuracy by using precision and recall. Nan Yu Hlaing | Phyu Pyar Moe "Android Based Questionnaires Application for Heart Disease Prediction S...

This paper attempts to offer the evaluation of teacher’s ability and the forecasting of students’... more This paper attempts to offer the evaluation of teacher’s ability and the forecasting of students’ career opportunities. Teacher’s ability is decided based on the student’s feedback, active participation in the class, students’ result in the tests and the teacher’s competency. Feedback is an essential element in the learning process. Students’ feedback is an effective tool for teacher evaluation resulting in teacher development. The career opportunity available for a student is a significant area that determines the ranking of a university. This research will also forecast the student’s career based on their individual subject grade. The system analyzes the teacher’s ability by using Sentiment Analysis which is known as Opinion Mining technique. Student career forecast is based on predictive analytic. It comprises of a variety of techniques that predict future outcomes based on historical and current data.

Parsing is breaking a sentence into its constituent nonterminal. Parsing is useful in the study o... more Parsing is breaking a sentence into its constituent nonterminal. Parsing is useful in the study of artificial intelligence for various reasons, such as, for an index-term generation in an information retrieval; for the extraction of collocation knowledge from large corpora; development of computational tools for language analysis. In this paper, a framework for stochastic parsing of Myanmar Language is presented. This parsing system will use the context free grammar and stochastic context free grammar. Myanmar sentence will be accepted as input. And then this input sentence will be tokenized, segmented and assigned part of speech tags. Finally, stochastic parse tree will be generated by using stochastic context free grammar as the output of stochastic parsing system.

Agriculture is an important role in our country, Myanmar. The most common crops are paddy, beans ... more Agriculture is an important role in our country, Myanmar. The most common crops are paddy, beans and pulses, and corns and so on. The production of crops per hectare is decreased due to weather conditions, atmospheric changes and loss of soil nutrition, wrongly used of fertilizer. Most of the farmers faces some challenges of infected crops. This system is implemented to predict results and to identify the paddy leaf diseases by capturing image of leaves and answered the questions of leaf symptoms. Paddy disease can be detected with image processing techniques and prediction can be enhance using K-mean clustering algorithm by identifying different kinds of cluster and capturing infected area of the paddy leaf. This system can provide some advice to the farmers, can solve the problems and to recover from these diseases.

One of the experiments of user preference information retrieval is to rank the most relevant docu... more One of the experiments of user preference information retrieval is to rank the most relevant documents. This system used MARS (Multiplicative Adaptive Refinement Search) algorithm for user preference information. User can give a query as an input. The input is the query that contains song name, song types, singer names that are part of the information which the user wants to know. The song information is retrieved from the web pages. The system returns the song information that is related to the input query that similarity values of web pages and query by using Cosine Similarity. From the initial result, user’s preference can mark by clicking the corresponding check box at interface. When the user marked the relevant document, and then refined by using MARS algorithm. The end result is the collection of documents list at a central location. The relevant documents are showed at the top of the system as output. This is called for choosing the proper methods to evaluate the system perf...