Mia Villarica | Laguna State Polytechnic University (original) (raw)
Papers by Mia Villarica
CERN European Organization for Nuclear Research - Zenodo, Aug 2, 2022
2022 IEEE 18th International Colloquium on Signal Processing & Applications (CSPA)
International Journal of Science, Technology, Engineering and Mathematics, 2022
Crime has a big impact in both the human lives and the society's growth, which needs to be addres... more Crime has a big impact in both the human lives and the society's growth, which needs to be addressed and controlled. Machine learning algorithms as the fanciest technology to assist decision makers in policy making has proven its reliability in showing unseen patterns in crime. This research aims to examine the capability of trees and ensemble trees in classifying crime through model development. Experiments were done to enhance the capability of the ensembles in both classification and regression. Feature extraction like synthetic minority oversampling technique was applied in order to address the problem in the imbalanced data. Different metrics relevant to classification and regression were considered in evaluating the performance of each model used. With the use of different metrics, Gradient boosted tree was found to have better classification capability in crime dataset after outperforming decision tree and random forest in both classification and regression problem. Furthermore, random forest was also found to have a promising capability in classification by regression. Therefore, it is highly recommended that this ensemble algorithm be further examined and considered in developing model in other datasets.
2022 IEEE 18th International Colloquium on Signal Processing & Applications (CSPA)
International Journal of Science, Technology, Engineering and Mathematics
Crime has a big impact in both the human lives and the society’s growth, which needs to be addres... more Crime has a big impact in both the human lives and the society’s growth, which needs to be addressed and controlled. Machine learning algorithms as the fanciest technology to assist decision makers in policy making has proven its reliability in showing unseen patterns in crime. This research aims to examine the capability of trees and ensemble trees in classifying crime through model development. Experiments were done to enhance the capability of the ensembles in both classification and regression. Feature extraction like synthetic minority oversampling technique was applied in order to address the problem in the imbalanced data. Different metrics relevant to classification and regression were considered in evaluating the performance of each model used. With the use of different metrics, Gradient boosted tree was found to have better classification capability in crime dataset after outperforming decision tree and random forest in both classification and regression problem. Furthermo...
International Journal of Advanced Trends in Computer Science and Engineering, 2020
In the past years, crime becomes one of the main concerns in the Philippines for it affects drast... more In the past years, crime becomes one of the main concerns in the Philippines for it affects drastically in the economic growth of the country. Awareness was one of the key factors that a police officer must possessed to effectively reduced crime in particular location. Many criminologists study on the number or occurrence of a crime to resolve the problem, however, number vagueness and possible source are often encountered that compromises the possible real effects or pattern. Machine learning is well-known to produce new knowledge and discover hidden pattern intelligently in particular database which can be used to produce data-driven reasoning or policy recommendation. The key objective of this research is to develop a predictive model in investigating crime records in the province of Laguna. Following the famous concept of knowledge discovery in databases, the researchers found out that decision tree algorithm is the best machine learning algorithm in classifying crime occurrence. Furthermore, date, time and place have a significant correlation in crime occurrence. Also shown in this paper, that the bigger district in the province of Laguna is more vulnerable in different crime.
International Journal of Mechanical Engineering and Robotics Research, 2019
International Journal of Advanced Research, 2019
International Journal of Advanced Research, 2019
A model for the mathematical description of diffusion process is presented through this work and ... more A model for the mathematical description of diffusion process is presented through this work and an attempt is also made for the applicability of Green?s function method for solving the one dimensional diffusion equation within the desired limits. From this process the required solution to this diffusion equation by considering the initial condition t = 0 will be obtained. This equation describes the rate of change of concentrations of substances to its own lattice or may be in different substances with a constant diffusion coefficient. At last a computational approach will also be used for getting the numerical solutions. While solving the equation we throughout consider t = 0, so that the result may also be applicable in an isothermal diffusion.
2021 4th International Conference on Data Science and Information Technology
2021 4th International Conference on Data Science and Information Technology
International Journal of Advanced Research (IJAR), 2019
Licensure Examination performance is a growing concern of most of the educational institution bec... more Licensure Examination performance is a growing concern of most of the educational institution because it is one of the determinants of quality education and validates high quality instruction. Educational institution is focused on monitoring and improving the Licensure Examination performance particularly in Teacher Education Institution (TEI). The study intends to offer a possible solution to most TEIs apprehensions regarding LET performance by providing the students of Teacher Education a student support service in the form of a personalized Learning Management System with performance prediction and recommendation capability. This can be developed through drawing data model using several data mining techniques and tools. Previous literature suggested using data mining to classify students, predict student performance, improve student retention, enhanced student achievement and assess complex students? behavior to name a few. This research project will provide the groundwork for th...
International Journal of Advanced Trends in Computer Science and Engineering, 2020
In the past years, crime becomes one of the main concerns in the Philippines for it affects drast... more In the past years, crime becomes one of the main concerns in the Philippines for it affects drastically in the economic growth of the country. Awareness was one of the key factors that a police officer must possessed to effectively reduced crime in particular location. Many criminologists study on the number or occurrence of a crime to resolve the problem, however, number vagueness and possible source are often encountered that compromises the possible real effects or pattern. Machine learning is well-known to produce new knowledge and discover hidden pattern intelligently in particular database which can be used to produce data-driven reasoning or policy recommendation. The key objective of this research is to develop a predictive model in investigating crime records in the province of Laguna. Following the famous concept of knowledge discovery in databases, the researchers found out that decision tree algorithm is the best machine learning algorithm in classifying crime occurrence. Furthermore, date, time and place have a significant correlation in crime occurrence. Also shown in this paper, that the bigger district in the province of Laguna is more vulnerable in different crime.
Research Journal of Computer and Information Technology Sciences, 2016
Data mining techniques has been useful to corporate world, however, it is transferable to educati... more Data mining techniques has been useful to corporate world, however, it is transferable to educational environment. the objective of higher educational institution is to acquire potential alumni contributors. Secondary educational level echoes the educational value on college performance, the exact same reason the educational institution recognizes the significance of student admission, monitoring and evaluate potential students with good academic performance. Contemporary research paper on educational data mining focuses on applying data mining techniques in the context of student performance measurement and predictions. In this research, the descriptive model association and descriptive statistics cross tabulation is used to determine the subject area proficiencies of secondary educational institution and generate Predictive Apriori algorithm to discover hidd researcher. The knowledge obtained from the model describes the subject area expertise of the high school as well as the subject ineptness of the school that would decision makers in stud institution.
Research Journal of Computer and Information Technology Sciences, 2016
A phenomenal impact of Information Technology in educational environment has significantly been a... more A phenomenal impact of Information Technology in educational environment has significantly been a topic of recent studies which stresses the significance of information technology in education. E relatively new and in its infancy, in spite of this private higher educational institution has been implementing e academic environment. Most state universities in the Philippines such as Laguna State Polytechnic University Main is still using traditional methods or traditional teacher Systems is nonexistent. The study aims to assess the e Campus based on the following factors: i. v. Tools Awareness. The study involves 23 Faculty members and 37 students from nine Colleges. Statistical analysis method was utilized to treat the assessment results. The result of this study shows that both faculty and student in the undergraduate program agree that the campus is ready to accept e evaluated the preparedness of the campus to implement an eLearning experience for the undergraduate programs, to design a good Learning Management System framework and to formulate a student the opportunity for the growth of e-learning in the L
INTERNATIONAL JOURNAL OF ADVANCED RESEARCH, 2019
Licensure Examination performance is a growing concern of most of the educational institution bec... more Licensure Examination performance is a growing concern of most of
the educational institution because it is one of the determinants of
quality education and validates high quality instruction. Educational
institution is focused on monitoring and improving the Licensure
Examination performance particularly in Teacher Education Institution
(TEI). The study intends to offer a possible solution to most TEIs
apprehensions regarding LET performance by providing the students of
Teacher Education a student support service in the form of a
personalized Learning Management System with performance
prediction and recommendation capability. This can be developed
through drawing data model using several data mining techniques and
tools. Previous literature suggested using data mining to classify
students, predict student performance, improve student retention,
enhanced student achievement and assess complex students‟ behavior
to name a few.
This research project will provide the groundwork for the generation of
a prediction model an innovative Student Support System with an
Integration of Information Technology that would help the students by
providing a Learning Management System (LMS) with personalized
learning environment, performance prediction and recommendation
engine that can be beneficial to board programs. This particular study
covers the identification of the appropriate data mining algorithms to be
used in modeling the PLMS.
After an intensive investigation and literature review conducted, the
research the result shows that ID3 and J48 is the best data mining
algorithms is student performance prediction. The researcher will be
using these algorithms in the development of the PLMS to integrate the
prediction function of the prototype.
Internation Journal of Advanced Research, 2019
E-Readiness plays a crucial role in the success of E-Learning initiatives with greater reason it ... more E-Readiness plays a crucial role in the success of E-Learning initiatives
with greater reason it should be conducted in an extensive approach for
Higher Education Institutions to reap the benefits E-Learning has to
offer. This study explored the e-readiness of two State Universities in
Luzon to provide significant information to the academic community.
Data were gathered from faculty and students with the use of an ELearning Readiness Tool. The findings related to readiness of teachers
and students are discussed. Furthermore, barriers to e-learning
manifested in the results and necessary actions to address these were
recommended for managers.
CERN European Organization for Nuclear Research - Zenodo, Aug 2, 2022
2022 IEEE 18th International Colloquium on Signal Processing & Applications (CSPA)
International Journal of Science, Technology, Engineering and Mathematics, 2022
Crime has a big impact in both the human lives and the society's growth, which needs to be addres... more Crime has a big impact in both the human lives and the society's growth, which needs to be addressed and controlled. Machine learning algorithms as the fanciest technology to assist decision makers in policy making has proven its reliability in showing unseen patterns in crime. This research aims to examine the capability of trees and ensemble trees in classifying crime through model development. Experiments were done to enhance the capability of the ensembles in both classification and regression. Feature extraction like synthetic minority oversampling technique was applied in order to address the problem in the imbalanced data. Different metrics relevant to classification and regression were considered in evaluating the performance of each model used. With the use of different metrics, Gradient boosted tree was found to have better classification capability in crime dataset after outperforming decision tree and random forest in both classification and regression problem. Furthermore, random forest was also found to have a promising capability in classification by regression. Therefore, it is highly recommended that this ensemble algorithm be further examined and considered in developing model in other datasets.
2022 IEEE 18th International Colloquium on Signal Processing & Applications (CSPA)
International Journal of Science, Technology, Engineering and Mathematics
Crime has a big impact in both the human lives and the society’s growth, which needs to be addres... more Crime has a big impact in both the human lives and the society’s growth, which needs to be addressed and controlled. Machine learning algorithms as the fanciest technology to assist decision makers in policy making has proven its reliability in showing unseen patterns in crime. This research aims to examine the capability of trees and ensemble trees in classifying crime through model development. Experiments were done to enhance the capability of the ensembles in both classification and regression. Feature extraction like synthetic minority oversampling technique was applied in order to address the problem in the imbalanced data. Different metrics relevant to classification and regression were considered in evaluating the performance of each model used. With the use of different metrics, Gradient boosted tree was found to have better classification capability in crime dataset after outperforming decision tree and random forest in both classification and regression problem. Furthermo...
International Journal of Advanced Trends in Computer Science and Engineering, 2020
In the past years, crime becomes one of the main concerns in the Philippines for it affects drast... more In the past years, crime becomes one of the main concerns in the Philippines for it affects drastically in the economic growth of the country. Awareness was one of the key factors that a police officer must possessed to effectively reduced crime in particular location. Many criminologists study on the number or occurrence of a crime to resolve the problem, however, number vagueness and possible source are often encountered that compromises the possible real effects or pattern. Machine learning is well-known to produce new knowledge and discover hidden pattern intelligently in particular database which can be used to produce data-driven reasoning or policy recommendation. The key objective of this research is to develop a predictive model in investigating crime records in the province of Laguna. Following the famous concept of knowledge discovery in databases, the researchers found out that decision tree algorithm is the best machine learning algorithm in classifying crime occurrence. Furthermore, date, time and place have a significant correlation in crime occurrence. Also shown in this paper, that the bigger district in the province of Laguna is more vulnerable in different crime.
International Journal of Mechanical Engineering and Robotics Research, 2019
International Journal of Advanced Research, 2019
International Journal of Advanced Research, 2019
A model for the mathematical description of diffusion process is presented through this work and ... more A model for the mathematical description of diffusion process is presented through this work and an attempt is also made for the applicability of Green?s function method for solving the one dimensional diffusion equation within the desired limits. From this process the required solution to this diffusion equation by considering the initial condition t = 0 will be obtained. This equation describes the rate of change of concentrations of substances to its own lattice or may be in different substances with a constant diffusion coefficient. At last a computational approach will also be used for getting the numerical solutions. While solving the equation we throughout consider t = 0, so that the result may also be applicable in an isothermal diffusion.
2021 4th International Conference on Data Science and Information Technology
2021 4th International Conference on Data Science and Information Technology
International Journal of Advanced Research (IJAR), 2019
Licensure Examination performance is a growing concern of most of the educational institution bec... more Licensure Examination performance is a growing concern of most of the educational institution because it is one of the determinants of quality education and validates high quality instruction. Educational institution is focused on monitoring and improving the Licensure Examination performance particularly in Teacher Education Institution (TEI). The study intends to offer a possible solution to most TEIs apprehensions regarding LET performance by providing the students of Teacher Education a student support service in the form of a personalized Learning Management System with performance prediction and recommendation capability. This can be developed through drawing data model using several data mining techniques and tools. Previous literature suggested using data mining to classify students, predict student performance, improve student retention, enhanced student achievement and assess complex students? behavior to name a few. This research project will provide the groundwork for th...
International Journal of Advanced Trends in Computer Science and Engineering, 2020
In the past years, crime becomes one of the main concerns in the Philippines for it affects drast... more In the past years, crime becomes one of the main concerns in the Philippines for it affects drastically in the economic growth of the country. Awareness was one of the key factors that a police officer must possessed to effectively reduced crime in particular location. Many criminologists study on the number or occurrence of a crime to resolve the problem, however, number vagueness and possible source are often encountered that compromises the possible real effects or pattern. Machine learning is well-known to produce new knowledge and discover hidden pattern intelligently in particular database which can be used to produce data-driven reasoning or policy recommendation. The key objective of this research is to develop a predictive model in investigating crime records in the province of Laguna. Following the famous concept of knowledge discovery in databases, the researchers found out that decision tree algorithm is the best machine learning algorithm in classifying crime occurrence. Furthermore, date, time and place have a significant correlation in crime occurrence. Also shown in this paper, that the bigger district in the province of Laguna is more vulnerable in different crime.
Research Journal of Computer and Information Technology Sciences, 2016
Data mining techniques has been useful to corporate world, however, it is transferable to educati... more Data mining techniques has been useful to corporate world, however, it is transferable to educational environment. the objective of higher educational institution is to acquire potential alumni contributors. Secondary educational level echoes the educational value on college performance, the exact same reason the educational institution recognizes the significance of student admission, monitoring and evaluate potential students with good academic performance. Contemporary research paper on educational data mining focuses on applying data mining techniques in the context of student performance measurement and predictions. In this research, the descriptive model association and descriptive statistics cross tabulation is used to determine the subject area proficiencies of secondary educational institution and generate Predictive Apriori algorithm to discover hidd researcher. The knowledge obtained from the model describes the subject area expertise of the high school as well as the subject ineptness of the school that would decision makers in stud institution.
Research Journal of Computer and Information Technology Sciences, 2016
A phenomenal impact of Information Technology in educational environment has significantly been a... more A phenomenal impact of Information Technology in educational environment has significantly been a topic of recent studies which stresses the significance of information technology in education. E relatively new and in its infancy, in spite of this private higher educational institution has been implementing e academic environment. Most state universities in the Philippines such as Laguna State Polytechnic University Main is still using traditional methods or traditional teacher Systems is nonexistent. The study aims to assess the e Campus based on the following factors: i. v. Tools Awareness. The study involves 23 Faculty members and 37 students from nine Colleges. Statistical analysis method was utilized to treat the assessment results. The result of this study shows that both faculty and student in the undergraduate program agree that the campus is ready to accept e evaluated the preparedness of the campus to implement an eLearning experience for the undergraduate programs, to design a good Learning Management System framework and to formulate a student the opportunity for the growth of e-learning in the L
INTERNATIONAL JOURNAL OF ADVANCED RESEARCH, 2019
Licensure Examination performance is a growing concern of most of the educational institution bec... more Licensure Examination performance is a growing concern of most of
the educational institution because it is one of the determinants of
quality education and validates high quality instruction. Educational
institution is focused on monitoring and improving the Licensure
Examination performance particularly in Teacher Education Institution
(TEI). The study intends to offer a possible solution to most TEIs
apprehensions regarding LET performance by providing the students of
Teacher Education a student support service in the form of a
personalized Learning Management System with performance
prediction and recommendation capability. This can be developed
through drawing data model using several data mining techniques and
tools. Previous literature suggested using data mining to classify
students, predict student performance, improve student retention,
enhanced student achievement and assess complex students‟ behavior
to name a few.
This research project will provide the groundwork for the generation of
a prediction model an innovative Student Support System with an
Integration of Information Technology that would help the students by
providing a Learning Management System (LMS) with personalized
learning environment, performance prediction and recommendation
engine that can be beneficial to board programs. This particular study
covers the identification of the appropriate data mining algorithms to be
used in modeling the PLMS.
After an intensive investigation and literature review conducted, the
research the result shows that ID3 and J48 is the best data mining
algorithms is student performance prediction. The researcher will be
using these algorithms in the development of the PLMS to integrate the
prediction function of the prototype.
Internation Journal of Advanced Research, 2019
E-Readiness plays a crucial role in the success of E-Learning initiatives with greater reason it ... more E-Readiness plays a crucial role in the success of E-Learning initiatives
with greater reason it should be conducted in an extensive approach for
Higher Education Institutions to reap the benefits E-Learning has to
offer. This study explored the e-readiness of two State Universities in
Luzon to provide significant information to the academic community.
Data were gathered from faculty and students with the use of an ELearning Readiness Tool. The findings related to readiness of teachers
and students are discussed. Furthermore, barriers to e-learning
manifested in the results and necessary actions to address these were
recommended for managers.