International Business Machines Corporation

Loic Malassis

Mei Kobayashi

Hikaru Samukawa

Romanos Piperakis

Detecting and tracking of new events/classes of documents are disclosed. A method for detecting new events and/or classes of documents and tracking evolution thereof in a database, said new events and/or classes of said documents being added to said database, said documents including attribute data related to a temporal parameter, said method includes the steps of providing vectors of said documents related to attribute data including said temporal parameter included therein, and detecting said new events and classes and tracking the evolution thereof using said vectors.

Detecting and tracking new events/classes of documents in a data base

A method, a computer system, and a program product for retrieving and/or ranking documents in a database. The method comprising steps of, providing a document matrix derived from the documents, the matrix including numerical elements derived from the attributes; providing a covariance matrix derived from the document matrix; executing singular value decomposition of the covariance matrix so as to obtain the following formula: K&equals;V&middot;&Sgr;&middot;V , wherein K represents the covariance matrix, V represents the matrix consisting of eigenvectors, &Sgr; represents a diagonal matrix, and V represents a transpose of the matrix V; reducing a dimension of the matrix V using a predetermined number of eigenvectors included in the matrix V, the eigenvectors including an eigenvector corresponding to the largest singular value; reducing a dimension of the document matrix using the dimension reduced matrix V; and retrieving and/or ranking the documents in the database by computing the scalar product between the dimension reduced document matrix and a query vector.

Growing community of inventors

Paris, France

Loic Malassis