✦ LIBER ✦

A proximate dynamics model for data mining

✍ Scribed by Yunfei Yin

Book ID: 108128248
Publisher: Elsevier Science
Year: 2009
Tongue: English
Weight: 911 KB
Volume: 36
Category: Article
ISSN: 0957-4174
DOI: 10.1016/j.eswa.2009.02.033

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

A Generalized Model for Predictive Data

A Generalized Model for Predictive Data Mining

✍ James V. Hansen; James B. McDonald 📂 Article 📅 2002 🏛 Springer US 🌐 English ⚖ 84 KB

Statistical Models for Data Mining

✍ Paolo Giudici; David Heckerman; Joe Whittaker 📂 Article 📅 2001 🏛 Springer US 🌐 English ⚖ 30 KB

Neighborhood rough sets for dynamic data

Neighborhood rough sets for dynamic data mining

✍ Junbo Zhang; Tianrui Li; Da Ruan; Dun Liu 📂 Article 📅 2012 🏛 John Wiley and Sons 🌐 English ⚖ 438 KB

Rough set spatial data modeling for data

Rough set spatial data modeling for data mining

✍ Theresa Beaubouef; Roy Ladner; Frederick Petry 📂 Article 📅 2004 🏛 John Wiley and Sons 🌐 English ⚖ 130 KB

Uncertainty management is necessary for real world applications, especially those used with data mining. The Region Connection Calculus (RCC) and egg-yolk methods have proven useful for the representation of vague regions in spatial data. Rough set theory has been shown to be an effective tool for d

Bayesian model selection for mining mass

Bayesian model selection for mining mass spectrometry data

✍ Anshu Saksena; Dennis Lucarelli; I-Jeng Wang 📂 Article 📅 2005 🏛 Elsevier Science 🌐 English ⚖ 159 KB

Dynamic models for spatiotemporal data

✍ Jonathan R. Stroud; Peter Müller; Bruno Sansó 📂 Article 📅 2001 🏛 Blackwell Publishing 🌐 English ⚖ 698 KB