Challenges and opportunities in big data analytics: Such as the risks and pitfalls of ignoring context/contextualization
This study explores the role of contextualization in big data analytics, emphasizing its significance across various applications including healthcare, urban planning, and network orchestration. The research introduces a novel context-aware recommender system designed to enhance user experience by i...
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| Format: | Final Year Project / Dissertation / Thesis |
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2024
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| Online Access: | http://eprints.utar.edu.my/6607/ http://eprints.utar.edu.my/6607/1/fyp_IA_2024_TDCM.pdf |
| _version_ | 1848886725807439872 |
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| author | Tan, David Chow Meng |
| author_facet | Tan, David Chow Meng |
| author_sort | Tan, David Chow Meng |
| building | UTAR Institutional Repository |
| collection | Online Access |
| description | This study explores the role of contextualization in big data analytics, emphasizing its significance across various applications including healthcare, urban planning, and network orchestration. The research introduces a novel context-aware recommender system designed to enhance user experience by integrating real-time contextual information seamlessly. Through extensive experiments using a Kaggle dataset, the study validates the system’s effectiveness in improving decision-making and operational efficiency. Methodologically, the project employs a comprehensive approach comprising data collection, preprocessing, exploration, and visualization, couple with advance d feature engineering and model evaluation. The findings demonstrates that contextualization significantly increases the precision and relevance of data analysis, there by fostering more informed decision-making. This research not only contributes to the academic discourse on big data but also offers practical insights for organizations aiming to leverage contextual data for strategic advantage. |
| first_indexed | 2025-11-15T19:43:04Z |
| format | Final Year Project / Dissertation / Thesis |
| id | utar-6607 |
| institution | Universiti Tunku Abdul Rahman |
| institution_category | Local University |
| last_indexed | 2025-11-15T19:43:04Z |
| publishDate | 2024 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | utar-66072024-10-23T05:38:13Z Challenges and opportunities in big data analytics: Such as the risks and pitfalls of ignoring context/contextualization Tan, David Chow Meng H Social Sciences (General) HC Economic History and Conditions T Technology (General) This study explores the role of contextualization in big data analytics, emphasizing its significance across various applications including healthcare, urban planning, and network orchestration. The research introduces a novel context-aware recommender system designed to enhance user experience by integrating real-time contextual information seamlessly. Through extensive experiments using a Kaggle dataset, the study validates the system’s effectiveness in improving decision-making and operational efficiency. Methodologically, the project employs a comprehensive approach comprising data collection, preprocessing, exploration, and visualization, couple with advance d feature engineering and model evaluation. The findings demonstrates that contextualization significantly increases the precision and relevance of data analysis, there by fostering more informed decision-making. This research not only contributes to the academic discourse on big data but also offers practical insights for organizations aiming to leverage contextual data for strategic advantage. 2024-01 Final Year Project / Dissertation / Thesis NonPeerReviewed application/pdf http://eprints.utar.edu.my/6607/1/fyp_IA_2024_TDCM.pdf Tan, David Chow Meng (2024) Challenges and opportunities in big data analytics: Such as the risks and pitfalls of ignoring context/contextualization. Final Year Project, UTAR. http://eprints.utar.edu.my/6607/ |
| spellingShingle | H Social Sciences (General) HC Economic History and Conditions T Technology (General) Tan, David Chow Meng Challenges and opportunities in big data analytics: Such as the risks and pitfalls of ignoring context/contextualization |
| title | Challenges and opportunities in big data analytics: Such as the risks and pitfalls of ignoring context/contextualization |
| title_full | Challenges and opportunities in big data analytics: Such as the risks and pitfalls of ignoring context/contextualization |
| title_fullStr | Challenges and opportunities in big data analytics: Such as the risks and pitfalls of ignoring context/contextualization |
| title_full_unstemmed | Challenges and opportunities in big data analytics: Such as the risks and pitfalls of ignoring context/contextualization |
| title_short | Challenges and opportunities in big data analytics: Such as the risks and pitfalls of ignoring context/contextualization |
| title_sort | challenges and opportunities in big data analytics: such as the risks and pitfalls of ignoring context/contextualization |
| topic | H Social Sciences (General) HC Economic History and Conditions T Technology (General) |
| url | http://eprints.utar.edu.my/6607/ http://eprints.utar.edu.my/6607/1/fyp_IA_2024_TDCM.pdf |