✦ LIBER ✦

Discovering Robust Knowledge from Databases that Change

✍ Scribed by Chun-Nan Hsu; Craig A. Knoblock

Book ID: 110279254
Publisher: Springer US
Year: 1998
Tongue: English
Weight: 774 KB
Volume: 2
Category: Article
ISSN: 1384-5810
DOI: 10.1023/a:1009717820785

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Discovering knowledge from medical datab

Discovering knowledge from medical databases using evolutionory algorithms

✍ Man Leung Wong; Wai Lam; Kwong Sak Leung; Po Shun Ngan; Cheng, J.C.Y. 📂 Article 📅 2000 🏛 IEEE 🌐 English ⚖ 831 KB

Discovering knowledge from noisy databas

Discovering knowledge from noisy databases using genetic programming

✍ Wong, Man Leung ;Leung, Kwong Sak ;Cheng, Jack C. Y. 📂 Article 📅 2000 🏛 John Wiley and Sons 🌐 English ⚖ 169 KB

In data mining, we emphasize the need for learning from huge, incomplete, and imperfect data sets. To handle noise in the problem domain, existing learning systems avoid overfitting the imperfect training examples by excluding insignificant patterns. The problem is that these systems use a limiting

Discovering interesting knowledge from a

Discovering interesting knowledge from a science and technology database with a genetic algorithm

✍ Wesley Romão; Alex A. Freitas; Itana M.de S. Gimenes 📂 Article 📅 2004 🏛 Elsevier Science 🌐 English ⚖ 151 KB