@article{MAKHILLAJIT20054115017,
    title = {Stock-management-based Expectation Pattern Discovery},
    journal = {Asian Journal of Information Technology},
    volume = {4},
    number = {11},
    pages = {1086-1092},
    year = {2005},
    issn = {1682-3915},
    doi = {ajit.2005.1086.1092},
    url = {https://makhillpublications.co/view-article.php?issn=1682-3915&doi=ajit.2005.1086.1092},
    author = {Shujie Yang,Xiaofang You,Feng Chen and},
    keywords = {Exception,against-expectation pattern,nearest-neighbor graph,correlation analysis},
    abstract = {We design a new yet efficient strategy for identifying against-expectation patterns in databases. An against-expectation pattern is either an itemset that its support is out of a certain neighbor of its expected value, referred to an against-expectation itemset or an association rule generating by an against-expectation itemset, referred to an against-expectation rule. The techniques for mining against-expectation patterns are previously undeveloped. Present algorithm for identifying against-expectation patterns is based on the nearest- neighbor graph and correlation analysis techniques. We experimentally evaluate our algorithms and demonstrate that our approach is efficient and promising.}
    }