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data mining and data warehouse
This Notes provides an overview of the key concepts and methodologies used in data mining. It begins by discussing the importance of data mining in today's data-driven world and its applications in various domains such as business, healthcare, finance, and social media. The abstract then delves into the process of data mining, which includes data collection, preprocessing, transformation, modeling, evaluation, and interpretation.
Next, the abstract highlights some of the popular data mining techniques and algorithms, including classification, clustering, association rule mining, and sequential pattern mining. It explains how these techniques can be applied to uncover valuable insights from structured, semi-structured, and unstructured data. Additionally, the abstract touches upon the challenges and considerations in data mining, such as data quality, privacy, scalability, and interpretability.
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Specifications
- School: UoL
- Course: IT management
- Subject: data mining
- All documents for this course ›
- Type of report: notes
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- Section: Studies & Theses
- Made on: 07-13-2023
- Type: .pdf
- Pages: 85
- Language: English
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