Method and apparatus for predicting object properties and events using similarity-based information retrieval and modeling

摘要

Method and apparatus for predicting properties of a target object comprise application of a search manager for analyzing parameters of a plurality of databases for a plurality of objects, the databases comprising an electrical, electromagnetic, acoustic spectral database (ESD), a micro-body assemblage database (MAD) and a database of image data whereby the databases store data objects containing identifying features, source information and information on site properties and context including time and frequency varying data. The method comprises application of multivariate statistical analysis and principal component analysis in combination with content-based image retrieval for providing two-dimensional attributes of three dimensional objects, for example, via preferential image segmentation using a tree of shapes and to predict further properties of objects by means of k-means clustering and related methods. By way of example, one of a criminal activity and a fraudulent activity event, an intrusion event and a fire event and residual objects may be predicted and located and qualified such that, for example, properties of the residual objects may be qualified, for example, via black body radiation and micro-body databases including charcoal assemblages.

主权项

1. A method of detecting a pattern of one of a fraudulent activity and a criminal activity by recording an object in a transaction database, the object comprising at least two suspicious transactions in a transaction database, the transaction database being coupled to processor search manager apparatus, the processor search manager apparatus comprising a processor and memory, the memory coupled to the transaction database, the method comprising:
testing by said processor of hypotheses representing a possible organizational structure of the criminal or fraudulent activity comprising at least one offender, said transaction database comprising one of a similarity-based and a nearest neighbor search; and applying at least one model to results returned from the transaction database in response to a query, the query requesting objects comprising suspicious transaction data in said transaction database most similar to a target object comprising data of a transaction, the queried transaction objects, responsive to the query, being most similar to each other, and applying multivariate statistical analysis and clustering to determine tree-structured index for indexing and searching the transaction database to retrieve the objects most similar to the target objects; the testing including testing at least one hypothesis of a possible organizational structure and detecting the pattern of one of the fraudulent activity and the criminal activity; the pattern detection comprising a prediction of attributes including two of gender, marital status, occupation and age of an offender of the suspicious transaction and member of the criminal or fraudulent organizational structure.