@inproceedings{f784a9b16df24b83a27dd72f8b1ce0f5,
title = "Integrating artificial intelligence into data warehousing and data mining",
abstract = "Knowledge engineering is key for enhancing organizational capabilities to gain a competitive edge and adapt and respond to an unpredictable market environment. Such knowledge can be generated from collected data which is often considered complex. Organizations are collecting vast amounts of data to transform them into real-Time information in order to attain successful decision-making support systems. It is more than likely that such processes can be challenging; yet such knowledge must be extracted from thoughtfully designed and implemented data warehousing, and mined to obtain the required information. This paper explores appropriate techniques, technologies and trends to facilitate the integration of artificial intelligence into data warehousing and data mining. It provides an insightful overview of data warehousing and data mining, and it highlights the techniques and the limitations of analyzing and interpreting enormous data.",
keywords = "Artificial intelligence, Business intelligence, Data mining, Data warehousing, Knowledge discovery",
author = "Madonsela, {Nelson Sizwe} and Paulin Mbecke and Charles Mbohwa",
year = "2015",
language = "English",
series = "Lecture Notes in Engineering and Computer Science",
publisher = "Newswood Limited",
pages = "819--823",
editor = "Craig Douglas and Jon Burgstone and Grundfest, {Warren S.} and Jon Burgstone and Craig Douglas and Ao, {S. I.}",
booktitle = "WCECS 2015 - World Congress on Engineering and Computer Science 2015",
note = "2015 World Congress on Engineering and Computer Science, WCECS 2015 ; Conference date: 21-10-2015 Through 23-10-2015",
}