Title: |
Comparison of Periodic Pattern Mining Algorithms on Temporal Datasets
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Authors: |
Md. Ghouse Mohiuddin, Dr. D. L.Sreenivasa Reddy |
Source: |
International Journal of Latest Engineering Research and Applications, pp 01 - 13, Vol 08 - No. 06, 2023 |
Abstract: |
The identification of periodic patterns is of great significance in revealing hidden temporal patterns and regularities across various domains, including finance, healthcare, and social networks. As the availability of large-scale temporal datasets continues to grow, the selection of an appropriate periodic pattern mining algorithm becomes crucial for efficient and accurate analysis. The objective of this research paper is to conduct a comparative evaluation of various periodic pattern mining algorithms applied to temporal datasets. The algorithms under consideration include Apriori-based methods such as Modified-Apriori and LPP-Apriori, as well as Tree-based approaches such as LPP Breadth, and LPP-FP Growth. We have assessed the performance of these algorithms across different datasets, focusing on metrics such as Execution Time, LPP Count, and memory usage. |
Keywords: |
LPP-Apriori, LPP-FP-Growth, Modified-Apriori, Periodic Patterns, Timestamps. |
DOI: |
10.56581/IJLERA.8.6.01-13 |
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Title: |
Cloud Computing Based Group Buying Marketplace
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Authors: |
Pandu Agung Setiawan, AndycoNicky Alim, Herman Budianto, Joan Santoso, Esther Irawati Setiawan, Christina Esti Susanti, Dyna Rachmawati |
Source: |
International Journal of Latest Engineering Research and Applications, pp 14 - 21, Vol 08 - No. 06, 2023 |
Abstract: |
There are numerous transaction models available currently. Beginning with standard transactions, wholesale, and sales, etc. Rarely do transactions utilize the group transaction model, in which multiple purchasers purchase an item at a discounted price in a single transaction. By utilizing technology such as web applications, people can engage in this model of transaction more freely, expanding the pool of potential buyers and merchants. We propose a cloud computing basedsystem that provides users with additional options for locating lower-priced products. This system adds a group transaction model without eliminating other widely used transaction models. This research system can facilitate transactions between sellers and customers. Buyers can purchase at a reduced cost, while sellers can sell more merchandise. Thus, this application for the research can serve as an additional option for buyers and vendors in transactions. |
Keywords: |
Group Buying, Market Place, Cloud Computing. |
DOI: |
10.56581/IJLERA.8.6.14-21 |
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Title: |
Sustainable Management of Cultural Assets: The Application of Innovative Technologies and the Improvement of Environmental Monitoring Efficiency
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Authors: |
Min-ChenYeh., Yao-Min Fang., Tien-Yin Chou., Chih-HuiYeh., Yu-LinTsai |
Source: |
International Journal of Latest Engineering Research and Applications, pp 22 - 30, Vol 08 - No. 06, 2023 |
Abstract: |
Cultural sites are valuable assets with dynamic historical significance. However, they can deteriorate due to various environmental factors. To ensure their sustainable development and conservation, preventive monitoring is essential. Since 2016, Taiwan's Ministry of Culture has implemented preventive monitoring measures to protect cultural sites. Causes of deterioration include temperature, humidity, wind, and light. In order to effectively monitor the cultural relics protection environment, it is necessary to establish and maintain cultural relics meteorological information systems and micro-weather stations. Research involves goal setting, resource allocation, technology building, and monitoring operations. The aim is to provide accurate weather data and support the preservation of cultural assets. The research contributes to strengthening disaster prevention and promoting sustainable development of cultural heritage. It ensures their value is preserved while providing valuable historical data and cultural experience. This study laid the foundation for the establishment and maintenance of cultural heritage meteorological information system and micro-weather station. |
Keywords: |
Cultural Heritage, Preventive Monitoring, Preservation, Meteorological Information System, Micro-Weather Stations |
DOI: |
10.56581/IJLERA.8.6.22-30 |
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Title: |
Social entrepreneurship as an alternative for socio economic growth managed by adapting the PM4R methodology
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Authors: |
Ing. Leticia Tellez Rivera, Mtro. Omar Oswaldo Torres Fernandez, Dra. Armida Gonzalez Lorence, Dr. Francisco Javier Rodriguez Valadez |
Source: |
International Journal of Latest Engineering Research and Applications, pp 31 - 46, Vol 08 - No. 06, 2023 |
Abstract: |
Social entrepreneurship as a managed alternative for socioeconomic growth through the PM4R (Project Management for Results) methodology is presented as an innovative and effective approach to address the social and economic challenges of a community.
The main objective of this research is to show alternatives using the adaptation of the PM4R methodology for the management of the project in its initial stage, with the purpose of boosting the economy in the community of Dolores Epitacio Huerta, located in the state of Michoacán, Mexico. Through an exhaustive analysis of the economic challenges and opportunities facing this community, it seeks to identify and develop effective strategies that promote local economic growth, foster entrepreneurship, and improve the living conditions of its inhabitants.
By applying the PM4R methodology to social entrepreneurship, several benefits can be achieved. In the first place, the professionalization of social projects is encouraged, which increases their capacity to generate impact and attract financing. In addition, transparency and accountability are promoted, which generates confidence in both investors and project beneficiaries.
Social entrepreneurship through the PM4R methodology is positioned as an effective alternative to boost socioeconomic growth. By combining a passion for social change with professional, results-oriented management, innovative and sustainable solutions can be generated that benefit communities and promote equitable development. |
Keywords: |
PM4R methodology, development project management, social entrepreneurship, socioeconomic growth. |
DOI: |
10.56581/IJLERA.8.6.31-46 |
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Title: |
Evaluating Machine Learning Models for Engagement Prediction in Different Photograph Types
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Authors: |
Alan Galván Espinoza, Silvestre Guillermo Puebla Serrano, Armida Gonzales Lorence |
Source: |
International Journal of Latest Engineering Research and Applications, pp 47 - 51, Vol 08 - No. 06, 2023 |
Abstract: |
This study evaluates different machine learning models for predicting engagement in photographs. The models were loaded into the Orange platform, known for its visual machine learning capabilities. Labeled datasets were collected, including information on the photograph type and engagement level. Various models, including decision trees, logistic regression, and neural networks, were constructed and trained. Performance evaluation involved cross-validation techniques and comparison of metrics such as accuracy and cross- correlation. The model with the best performance was selected to predict engagement in new posts based on photograph type.
The results highlight the importance of selecting the appropriate model for specific project objectives. The comparative analysis revealed no standout model, but valuable insights were obtained regarding the types of photographs that can be predicted with higher precision. The study's systematic evaluation approach helps identify model strengths and weaknesses and uncover hidden patterns in the database. The findings demonstrate the need for improving the prediction capacity of machine learning models in engagement prediction. This research contributes to a better understanding of engagement prediction in photographs and emphasizes the significance of model selection and dataset characteristics in achieving accurate predictions. |
Keywords: |
Engagement prediction, Machine learning models, Photograph type, Performance evaluation, Model selection |
DOI: |
10.56581/IJLERA.8.6.47-51 |
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