Application of decisional DNA in web data mining

Authors:
Peng Wang;Cesar Sanin;Edward Szczerbicki
Affiliations:
School of Engineering, Faculty of Engineering and Built Environment, The University of Newcastle, Australia;School of Engineering, Faculty of Engineering and Built Environment, The University of Newcastle, Australia;Gdansk University of Technology, Gdansk, Poland
Venue:
KES'11 Proceedings of the 15th international conference on Knowledge-based and intelligent information and engineering systems - Volume Part II
Year:
2011

Citing 5
Cited 0

Learning comprehensible theories from structured data

Advanced lectures on machine learning
Experience-Based Knowledge Representation: SOEKS

Cybernetics and Systems
Constructing and mining a semantic-based academic social network

Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology - Knowledge integration and management in autonomous systems
Decisional DNA and the Smart Knowledge Management System: Knowledge Engineering and Knowledge Management applied to an Intelligent Platform

Decisional DNA and the Smart Knowledge Management System: Knowledge Engineering and Knowledge Management applied to an Intelligent Platform
Decisional DNA applied to robotics

KES'10 Proceedings of the 14th international conference on Knowledge-based and intelligent information and engineering systems: Part II

Quantified Score

Hi-index	0.00

Visualization

Abstract

Web data mining techniques are becoming popular and valuable components of web data analysis systems. It assists website's owners to estimate their website's performance and make explicit and precise business strategies. The main features of Decisional DNA are related to knowledge representation structures. They are dealing with noisy and incomplete data, learning from experience, making precise decision, and predicting. This paper presents a proposal for development of web data mining techniques with Decisional DNA at its core. Integrating Decisional DNA with web data mining techniques involves retrieval, clustering, storage, sharing, and transporting of knowledge and day-to-day explicit experience in a new structure. A set of experiments is also included in this paper to illustrate usage of Decisional DNA applied to decisional domain in web data mining as well as re-usage of such knowledge to facilitate decision making process.