@inproceedings{1f36d26e6e2a407a8a549ccf6ac67f4e,
title = "Probability logic modeling of knowledge discovery in databases",
abstract = "A Knowledge discovery in databases (KDD) system with probability deduction capability is expected to provide more information for decision making. Based on Bacchus probability logic and formal concept analysis, we propose a logic model for KDD with probability deduction. We use formal concept analysis within the semantics of probability logic to import the notion of concept into modeling of KDD. One of the most important features of a KDD system is its ability to discover previously unknown and potentially useful patterns. We formalize the definitions of previously unknown and potentially useful patterns.",
author = "Jitender Deogun and Liying Jiang and Ying Xie and Vijay Raghavan",
note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 2003.; 14th International Symposium on Methodologies for Intelligent Systems, ISMIS 2003 ; Conference date: 28-10-2003 Through 31-10-2003",
year = "2003",
doi = "10.1007/978-3-540-39592-8_56",
language = "English (US)",
isbn = "3540202560",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "402--407",
editor = "Ning Zhong and Ras, {Zbigniew W.} and Shusaku Tsumoto and Einoshin Suzuki",
booktitle = "Foundations of Intelligent Systems - 14th International Symposium, ISMIS 2003, Proceedings",
}