Hai H. Dam

Details der Publikationsliste

Zeitraum

2005 - 2008

Anzahl

7

Co-Autoren

The Performance of the DXCS System on Continuous-Valued Inputs in Stationary and Dynamic Environments (2008)

Hai H. Dam, Hussein H. Abbass, Chris Lokan, Hai H. Dam, Hussein A. Abbass, Chris Lokan

XCS is widely accepted as one of the most reliable Michigan-style Learning Classifier System for data mining. Many studies found that XCS is able to provide good generalization using a ternary...

Neural-Based Learning Classifier Systems (2008)

Hai H. Dam, Hussein A. Abbass, Chris Lokan, Xin Yao, Hai H. Dam, Hussein A. Abbass, ...

UCS is a supervised learning classifier system that was introduced in 2003 for classification in data mining tasks. The representation of a rule in UCS as a univariate classification rule is...

Be Real! XCS with Continuous-Valued Inputs (2008)

Hai H. Dam, Hussein H. Abbass, Chris Lokan, Hai H. Dam, Hussein H. Abbass, Chris Lokan

XCS is widely accepted as one of the most reliable Michigan-style learning classifier system (LCS) for data mining. In order to handle real-valued inputs effectively, the traditional ternary...

BCS: a Bayesian Learning Classifier System (2008)

Hai H. Dam, Hussien A. Abbass, Chris Lokan, Hai H. Dam, Hussien A. Abbass, Chris Lokan

Genetics-based machine learning systems have been applied in many areas. Among them, XCS is one of the most advanced systems for reinforcement learning. UCS is a specialized case of XCS for data...

Can Evolutionary Computation Handle Large (2008)

Hai H. Dam, Kamran Shafi, Hussein A. Abbass, Hai H. Dam, Kamran Shafi, Hussein A. Abbass

Evolutionary Learning Classifier Systems (ELCS) were introduced by Holland a few decades ago. Since their birth, they were successfully applied to various data analysis domains. XCS is currently...

Evolutionary Online Data Mining An Investigation in a Dynamic Environment (2008)

Hai H. Dam, Hussein A. Abbass, Chris Lokan, Hai H. Dam, Hussein A. Abbass, Chris Lokan

Recently, traditional data mining algorithms are challenged by two problems: streaming data, and changes in the hidden context. These challenges emerged from real-world applications such as network...

Dxcs: an xcs system for distributed data mining (2005)

Hussein H. Abbass, Hai H. Dam, Hai H. Dam, Hussein A. Abbass, Chris Lokan, Chris Lokan

XCS is a flexible system for data mining due to its ability to deal with environmental changes, learn online with little prior knowledge and evolve accurate and maximally general classifiers. In this...