Abstract: The present invention provides methods, apparatus and systems for cost conversant classification of objects. In order to achieve this, we create an efficient tree structure to store different classification rules. The methods particularly relate to objects with multiple attributes and classification rules that are defined in terms of these attributes. The techniques can handle rules that can be represented as a single or multiple hypercubes in attribute space. Furthermore, the present techniques are effective when the number of relevant object attributes are large and no specialized classification hardware is accessible. Such methods can be used in various applications such as classification of web sessions in an e-commerce application, classification of connection request in TCP connections etc.

Abstract: The present invention provides methods, apparatus and systems for cost conversant classification of objects. In order to achieve this, we create an efficient tree structure to store different classification rules. The methods particularly relate to objects with multiple attributes and classification rules that are defined in terms of these attributes. The techniques can handle rules that can be represented as a single or multiple hypercubes in attribute space. Furthermore, the present techniques are effective when the number of relevant object attributes are large and no specialized classification hardware is accessible. Such methods can be used in various applications such as classification of web sessions in an e-commerce application, classification of connection request in TCP connections etc.