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.
