From Data to Insight: Leveraging iOLAP and Visualization Tools for Social Media Analysis
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


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Research Paper | Computer Science & Engineering | India | Volume 14 Issue 2, February 2025 | Popularity: 8.2 / 10


     

From Data to Insight: Leveraging iOLAP and Visualization Tools for Social Media Analysis

Anchita Duggal, Raghu Raja Mehra


Abstract: Data mining on social media involves extracting and analyzing large datasets from platforms to identify patterns and relationships. Tools like Microsoft SharePoint, Sisense, IBM Cognos, Rapid Miner, and Dundas BI use advanced algorithms to visualize networks, where nodes represent users and edges capture interactions. Internet Online Analytical Processing (iOLAP) enables multi - dimensional analysis, combining temporal, social, and semantic data. Techniques like clustering, classification, and association rule mining are used for customer segmentation, behavior prediction, and targeted marketing. Privacy - Preserving Data Mining (PPDM) applies statistical perturbation and cryptographic methods to protect privacy while retaining analytic value. Machine learning algorithms enhance decision - making by processing both structured and unstructured data. OCR and NLP extend data analysis to text and images, while tools like NCapture and APIs for Facebook and Instagram facilitate large - scale data extraction and analysis.


Keywords: Data Mining, User Interaction, Network Visualization, Clustering Techniques, Big Data, Internet Online Analytical Processing (iOLAP), Pattern Recognition


Edition: Volume 14 Issue 2, February 2025


Pages: 479 - 485


DOI: https://www.doi.org/10.21275/SR25205175813


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Anchita Duggal, Raghu Raja Mehra, "From Data to Insight: Leveraging iOLAP and Visualization Tools for Social Media Analysis", International Journal of Science and Research (IJSR), Volume 14 Issue 2, February 2025, pp. 479-485, https://www.ijsr.net/getabstract.php?paperid=SR25205175813, DOI: https://www.doi.org/10.21275/SR25205175813

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