@INPROCEEDINGS { Rsds3554,
author = {Golan, Robert H.}, 
title = {The Rough Approach to Knowledge Marts With Data Warehouses}, 
booktitle = {Proceedings of the Fourth International Workshop on Rough Sets, Fuzzy Sets, and Machine Discovery}, 
conference = {International Workshop on Rough Sets, Fuzzy Sets, and Machine Discovery}, 
pages = {360--363}, 
publisher = {Japanese Research Group on Rough Sets}, 
address = {Tokyo, Japan}, 
month = {November}, 
year = 1996, 
editor = {Tsumoto, Shusaku and Kobayashi, Satoshi and Yokomori, Takashi and Tanaka, Hiroshi and Nakamura, Akira}, 
isbn = {4-947717-01-7}, 
abstract = {A methodology for the construction of client based Knowledge Marts with a server based Data Warehouse is presented. Knowledge Access Tools will access three types of information which is the raw data from the Data Warehouse, derived data from this raw data, and knowledge rules produced from a rough set data mining tool. Knowledge Access Tools are a client front end which enables the user to access the necessary information to make the best business decisions. Knowledge Marts give the user the added benefit of knowing more about the data by discovering hidden knowledge which exists in the Data Warehouse. This knowledge can also be predictive in nature while determining a business opportunity and assigning a degree of confidence. This aids the user to focus in on the best business opportunities. The construction of Knowledge Marts is incremental in nature. The methodology includes defined a clear domain to the scope, data collection and cleansing, discretization, data mining, and verification. Knowledge Marts can very drastically in their derived data, knowledge rules, and user interface. The key to the development of a Knowledge Mart is the methodology established.}, 
keywords = {data marts, data mining, data warehouse, knowledge discovery, knowledge marts, methodology, olap, pattern recognition, rough sets, }, 
}