Patent application number | Description | Published |
20090202061 | METHOD FOR IDENTIFYING SPIT OR SPAM FOR VOIP - The invention relates to a method for the computer-assisted identification of a class of VoIP calls of a first type (spam) in a communication network (internet). Said communication network has a plurality (N) of first subscribers (Tn | 08-13-2009 |
20120158639 | METHOD, SYSTEM, AND COMPUTER PROGRAM FOR INFORMATION RETRIEVAL IN SEMANTIC NETWORKS - A method, system, and computer software for information retrieval in semantic networks, has the steps of: acquiring a graph of interest, assuming a novel metric regarding the acquired graph, specifying a query node of interest on the obtained graph, calculating a shortest-path distance from the query node of interest to a plurality of other nodes on the acquired graph, obtaining a ranked list of nodes based on the calculated shortest-path distance, and displaying for a user the retrieved information. | 06-21-2012 |
20130103371 | Predicting An Existence Of A Relation - A method includes appling graphical models in domains where the relations form the instances and where just a single relation is modeled instead of a whole network of entities and their relationships. Based on such model of the single relation, the relation between two or more entities is predicted. The method may allow modeling a dynamics in relational domains, including changes of trends or hot topics in social networks. | 04-25-2013 |
20130318012 | Processing of Information - Systems and methods are provided for deriving a prediction from existing data by utilizing information extraction and machine learning, wherein both approaches can be optimized independently from each other. Optionally, deductive reasoning may also be combined with information extraction and machine learning and may as well be optimized independently from the other two functionalities. The two or three functionalities may utilize at least one set of data and may (at least partially) process various sets of data. The combined approach may produce significantly improved results, and may be implemented in various technical fields, applications and use cases involving, e.g., data mining or processing of huge amounts of data. The disclosed systems and methods may be applicable for all kinds of technical systems, e.g., medical, genetic research, or industry and automation systems. | 11-28-2013 |