1. PROBLEM SPACES AND ALGORITHMS IN DATA MINING.
- Author
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Ele, B. I., Obono, I. O., and Iwinosa, A. A.
- Subjects
COMPUTER science ,INFORMATION technology ,COMPUTER programming ,COMPUTER network management ,COMPUTER network monitoring - Abstract
This article explores the challenges and algorithms involved in data mining, emphasizing its importance in managing large datasets and stimulating research. The authors discuss the strengths and weaknesses of different algorithms in specific problem spaces, analyzing their effectiveness in analyzing customer data from Fortune Bank PLC in Nigeria. The study utilizes the IBM Intelligent Miner software and visualizations to compare the results of different algorithms. The article concludes that while data mining provides valuable insights for businesses, further research is needed to develop a unified approach. [Extracted from the article]
- Published
- 2024
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