Authors : Shujie Yang , Xiaofang You , Feng Chen and Shichao Zhang
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.
Shujie Yang , Xiaofang You , Feng Chen and Shichao Zhang , 2005. Stock-management-based Expectation Pattern Discovery . Asian Journal of Information Technology, 4: 1086-1092.