Information Extraction Using Data Mining Techniques For Big Data Processing in Digital Marketing Platforms
- Title
- Information Extraction Using Data Mining Techniques For Big Data Processing in Digital Marketing Platforms
- Creator
- Ganesh C.; Ramachandran K.K.; Varasree B.; Lakhanpal S.; Rohini B.; Acharjee P.B., Dr.
- Description
- In the dynamic landscape of digital marketing, harnessing the potential of big data has become paramount for informed decision-making. This study explores the integration of data mining techniques within big data processing frameworks to extract valuable information in digital marketing platforms. With the exponential growth of data generated through online interactions, social media, and e-commerce, traditional methods fall short of uncovering meaningful insights. This research focuses on leveraging advanced data mining algorithms to sift through vast datasets, identifying patterns, trends, and user behaviours. The proposed approach aims to enhance marketing strategies by extracting actionable intelligence from diverse data sources. Techniques such as association rule mining, clustering, and sentiment analysis will be employed to unveil hidden correlations, segment target audiences, and gauge consumer sentiment. The scalability of big data frameworks ensures efficient processing of massive datasets, allowing marketers to make real-time, data-driven decisions. Additionally, the study explores the challenges and opportunities associated with implementing data mining in big data environments for digital marketing. This research contributes to the evolving field of digital marketing by providing a comprehensive framework for extracting, processing, and utilizing information from big data. The findings promise to empower marketers with a deeper understanding of consumer behaviour, enabling the development of more personalized and effective marketing strategies in the ever-evolving digital ecosystem. 2023 IEEE.
- Source
- 2023 10th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering, UPCON 2023, pp. 1662-1667.
- Date
- 2023-01-01
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Subject
- Big data; Data mining; Digital marketing
- Coverage
- Ganesh C., Kg Reddy College of Engineering & Technology, Mba, Telangana, Hyderabad, India; Ramachandran K.K., Dr G R D College of Science, Management/Commerce/International Business, India; Varasree B., Institute of Aeronautical Engineering, Telangana, Hyderabad, 500043, India; Lakhanpal S., Lovely Professional University, Phagwara, India; Rohini B., New Horizon College of Engineering, Department of Physics, Bangalore, 560103, India; Acharjee P.B., Dr., Christ University, Computer Science, Pune, India
- Rights
- Restricted Access
- Relation
- ISBN: 979-835038247-1
- Format
- Online
- Language
- English
- Type
- Conference paper
Collection
Citation
Ganesh C.; Ramachandran K.K.; Varasree B.; Lakhanpal S.; Rohini B.; Acharjee P.B., Dr., “Information Extraction Using Data Mining Techniques For Big Data Processing in Digital Marketing Platforms,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 25, 2025, https://archives.christuniversity.in/items/show/19671.