Papadimitriou, US
Odiseas Papadimitriou, Arlington, VA US
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20120110175 | SYSTEM AND METHOD FOR ANALYZING WEB PATHS - A method for analyzing web page paths associated with accesses to one or more web pages associated with one or more websites is disclosed. The method includes storing, for each instance of a web page access of the one or more web pages, time of access data, page access data, and entity data. The method further includes, for each entity reflected in the storage, determining one or more web page paths traversed by the entity based at least on the time of access data and the page access data, wherein each path includes accesses to at least two web pages. The method additionally includes analyzing at least one of the one or more websites or at least one of the one or more web pages, based on the determined one or more web page paths, and providing the analysis to one or more users or software processes. | 05-03-2012 |
Odysseas Papadimitriou, Arlington, VA US
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20120066106 | Systems and Methods for Monitoring and Optimizing Credit Scores - The present disclosure provides systems and methods that monitor, on a recurring basis, a consumer's behavior as reflected on both the consumer's credit report and other sources, identifies opportunities for optimizing the consumer's credit score, warns proactively of actions that can damage a consumer's credit score, and identifies the right time for consumers to take certain actions, including, but not limited to, actions like applying for a new credit card or closing an existing credit card. The present disclosure also provides systems and methods that implement or can assist in the implementation of the recommended actions on behalf of the consumer. | 03-15-2012 |
20130332340 | Systems and Methods for Monitoring and Optimizing Credit Scores - The present disclosure provides systems and methods that monitor, on a recurring basis, a consumer's behavior as reflected on both the consumer's credit report and other sources, identifies opportunities for optimizing the consumer's credit score, warns proactively of actions that can damage a consumer's credit score, and identifies the right time for consumers to take certain actions, including, but not limited to, actions like applying for a new credit card or closing an existing credit card. The present disclosure also provides systems and methods that implement or can assist in the implementation of the recommended actions on behalf of the consumer. | 12-12-2013 |
20130332341 | Systems and Methods for Monitoring and Optimizing Credit Scores - The present disclosure provides systems and methods that monitor, on a recurring basis, a consumer's behavior as reflected on both the consumer's credit report and other sources, identifies opportunities for optimizing the consumer's credit score, warns proactively of actions that can damage a consumer's credit score, and identifies the right time for consumers to take certain actions, including, but not limited to, actions like applying for a new credit card or closing an existing credit card. The present disclosure also provides systems and methods that implement or can assist in the implementation of the recommended actions on behalf of the consumer. | 12-12-2013 |
Panagiotis Papadimitriou, Stanford, CA US
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20090150371 | METHODS AND APPARATUS FOR COMPUTING GRAPH SIMILARITY VIA SIGNATURE SIMILARITY - This disclosure describes systems and methods for identifying and correcting anomalies in web graphs. A web graph is transformed into a set of weighted features. The set of weighted features are then transformed into a signature via a SimHash algorithm. The signature is compared to the signature of one or more other web graphs in order to determine similarity between web graphs. Actions are then carried out to remove anomalous web graphs and modify parameters governing web mapping in order to decrease the likelihood of future anomalous web graphs being built. | 06-11-2009 |
20090150381 | METHODS AND APPARATUS FOR COMPUTING GRAPH SIMILARITY VIA SIGNATURE SIMILARITY - This disclosure describes systems and methods for identifying and correcting anomalies in web graphs. A web graph is transformed into a set of weighted features. The set of weighted features are then transformed into a signature via a SimHash algorithm. The signature is compared to the signature of one or more other web graphs in order to determine similarity between web graphs. Actions are then carried out to remove anomalous web graphs and modify parameters governing web mapping in order to decrease the likelihood of future anomalous web graphs being built. | 06-11-2009 |
20090164411 | METHODS AND APPARATUS FOR COMPUTING GRAPH SIMILARITY VIA SEQUENCE SIMILARITY - This disclosure describes systems and methods for identifying and correcting anomalies in web graphs. A web graph is transformed into a sequence of tokens via a walk algorithm. The sequence is fingerprinted to form a set of shingles. The singles are compared to shingles for other web graphs in order to determine similarity between web graphs. Actions are then carried out to remove anomalous web graphs and modify parameters governing web mapping in order to decrease the likelihood of future anomalous web graphs being built. | 06-25-2009 |
20110302147 | METHODS AND APPARATUS FOR COMPUTING GRAPH SIMILARITY VIA SEQUENCE SIMILARITY - This disclosure describes systems and methods for identifying and correcting anomalies in web graphs. A web graph is transformed into a sequence of tokens via a walk algorithm. The sequence is fingerprinted to form a set of shingles. The singles are compared to shingles for other web graphs in order to determine similarity between web graphs. Actions are then carried out to remove anomalous web graphs and modify parameters governing web mapping in order to decrease the likelihood of future anomalous web graphs being built. | 12-08-2011 |
Panagiotis Papadimitriou, Mountain View, CA US
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20160092967 | SYSTEMS AND METHODS TO GENERATE SHOPPABLE CONTENT AND INCREASE ADVERTISING REVENUE IN SOCIAL NETWORKING USING CONTEXTUAL ADVERTISING - Methods and systems for increasing potential advertising revenue by incorporating shopping cart links into social media posts. The method may include receiving an input indicating a user request to add a shopping cart link to a social networking post associated with a user making the user request, the social networking post to be posted to one or more social networks, determining a cost for placing the shopping cart link in the social networking post, providing the determined cost to the user, receiving confirmation from the user to add the shopping cart link to the social networking post, and adding the shopping cart link to the social networking post. Any costs paid by the user to post the shopping cart link may be recovered from commissions or other similar payments received for each user that browses or purchases an item in the shopping cart link. | 03-31-2016 |
Panagiotis Papadimitriou, Santa Cruz, CA US
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20100185577 | OBJECT CLASSIFICATION USING TAXONOMIES - As provided herein objects from a source catalog, such as a provider's catalog, can be added to a target catalog, such as an enterprise master catalog, in a scalable manner utilizing catalog taxonomies. A baseline classifier determines probabilities for source objects to target catalog classes. Source objects can be assigned to those classes with probabilities that meet a desired threshold and meet a desired rate. A classification cost for target classes can be determined for respective unassigned source objects, which can comprise determining an assignment cost and separation cost for the source objects for respective desired target classes. The separation and assignment costs can be combined to determine the classification cost, and the unassigned source objects can be assigned to those classes having a desired classification cost. | 07-22-2010 |
Panagiotis Papadimitriou, Menlo Park, CA US
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20120158693 | METHOD AND SYSTEM FOR GENERATING WEB PAGES FOR TOPICS UNASSOCIATED WITH A DOMINANT URL - Techniques are provided for identifying topics that are unassociated with a dominant URL. A set of keywords associated with a topic is identified. A search log is scanned to identify search queries associated with the set of keywords. The identified search queries are grouped into clusters. Clusters associated with similar URLs are merged to generate an extended seed query string. The extended seed query string is analyzed to determine whether it relates to an existing dominant URL. If the extended seed query string is determined to be unassociated with an existing dominant URL, a web page associated with the topic may be generated. | 06-21-2012 |
Panayiotis Papadimitriou, Tewksbury, MA US
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20090022079 | Method and apparatus for providing enhanced channel interleaving - An approach is provided for channel interleaving. A plurality of symbols are received and partitioned into a plurality of subblocks. The subblocks form a plurality of subsequences. A first output sequence is generated from the subsequences. The subsequences of the first output sequence is selected and punctured to generate a second output sequence, and interleaving the second output sequence. | 01-22-2009 |
Spyridon Papadimitriou, White Plains, NY US
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20080205641 | PRESERVING PRIVACY OF ONE-DIMENSIONAL DATA STREAMS USING DYNAMIC AUTOCORRELATION - A method, information processing system, and computer readable medium are provided for preserving privacy of one-dimensional nonstationary data streams. The method includes receiving a one-dimensional nonstationary data stream. A set of first-moment statistical values are calculated, for a given instant of sub-space of time, for the data. The first moment statistical values include a principal component for the sub-space of time. The data is perturbed with noise along the principal component in proportion to the first-moment of statistical values so that at least part of a set of second-moment statistical values for the data is perturbed by the noise only within a predetermined variance. | 08-28-2008 |
20080209568 | PRESERVING PRIVACY OF DATA STREAMS USING DYNAMIC CORRELATIONS - Disclosed is a method, information processing system, and computer readable medium for preserving privacy of nonstationary data streams. The method includes receiving at least one nonstationary data stream with time dependent data. Calculating, for a given instant of sub-space of time, A set of first-moment statistical values is calculated, for a given instant of sub-space of time, for the data. The first moment statistical values include a principal component for the sub-space of time. The data is perturbed with noise along the principal component in proportion to the first-moment of statistical values so that at least part of a set of second-moment statistical values for the data is perturbed by the noise only within a predetermined variance. | 08-28-2008 |
20080250265 | SYSTEMS AND METHODS FOR PREDICTIVE FAILURE MANAGEMENT - A system and method for using continuous failure predictions for proactive failure management in distributed cluster systems includes a sampling subsystem configured to continuously monitor and collect operation states of different system components. An analysis subsystem is configured to build classification models to perform on-line failure predictions. A failure prevention subsystem is configured to take preventive actions on failing components based on failure warnings generated by the analysis subsystem. | 10-09-2008 |
20090077148 | Methods and Apparatus for Perturbing an Evolving Data Stream for Time Series Compressibility and Privacy - Techniques for perturbing an evolving data stream are provided. The evolving data stream is received. An online linear transformation is applied to received values of the evolving data stream generating a plurality of transform coefficients. A plurality of significant transform coefficients are selected from the plurality of transform coefficients. Noise is embedded into each of the plurality of significant transform coefficients, thereby perturbing the evolving data stream. A total noise variance does not exceed a defined noise variance threshold. | 03-19-2009 |
20100063974 | IDENTIFYING OPTIMAL MULTI-SCALE PATTERNS IN TIME-SERIES STREAMS - A computer-implemented method, system, and a computer readable article of manufacture identify local patterns in at least one time series data stream. A data stream is received that comprises at least one set of time series data. The at least one set of time series data is formed into a set of multiple ordered levels of time series data. Multiple ordered levels of hierarchical approximation functions are generated directly from the multiple ordered levels of time series data. A set of approximating functions are created for each level. A current window with a current window length is selected from a set of varying window lengths. The set of approximating functions created at one level in the multiple ordered levels is passed to a subsequent level as a set of time series data. The multiple ordered levels of hierarchical approximation functions are stored into memory after being generated. | 03-11-2010 |
20120278261 | DETERMINING THE IMPORTANCE OF DATA ITEMS AND THEIR CHARACTERISTICS USING CENTRALITY MEASURES - Computer-implemented methods, systems, and articles of manufacture for determining the importance of a data item. A method includes: (a) receiving a node graph; (b) approximating a number of neighbor nodes of a node; and (c) calculating a average shortest path length of the node to the remaining nodes using the approximation step, where this calculation demonstrates the importance of a data item represented by the node. Another method includes: (a) receiving a node graph; (b) building a decomposed line graph of the node graph; (c) calculating stationary probabilities of incident edges of a node graph node in the decomposed line graph, and (d) calculating a summation of the stationary probabilities of the incident edges associated with the node, where the summation demonstrates the importance of a data item represented by the node. Both methods have at least one step carried out using a computer device. | 11-01-2012 |
Spyridon Papadimitriou, Hawthorne, NY US
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20110055379 | CONTENT-BASED AND TIME-EVOLVING SOCIAL NETWORK ANALYSIS - System and method for modeling a content-based network. The method includes finding single mode clusters from among network (sender and recipient) and content dimensions represented as a tensor data structure. The method allows for derivation of useful cross-mode clusters (interpretable patterns) that reveal key relationships among user communities and keyword concepts for presentation to users in a meaningful and intuitive way. Additionally, the derivation of useful cross-mode clusters is facilitated by constructing a reduced low-dimensional representation of the content-based network. Moreover, the invention may be enhanced for modeling and analyzing the time evolution of social communication networks and the content related to such networks. To this end, a set of non-overlapping or possibly overlapping time-based windows is constructed and the analysis performed at each successive time interval. | 03-03-2011 |
Stylianos Papadimitriou, Houston, TX US
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20120130651 | AUTONOMOUS FITNESS FOR SERVICE ASSESSMENT - The equipment comprises at least one computer and a material features acquisition system operable to detect a plurality of material features. The features are then evaluated according to rules that capture the multidiscipline knowledge of experts and are already inputted into the computer. The computer iterations are processed until an acceptable conclusion is made regarding the condition of the material under evaluation. | 05-24-2012 |
20130060487 | AUTONOMOUS REMAINING USEFUL LIFE ESTIMATION - The equipment comprises at least one computer and a material features acquisition system operable to detect a plurality of material features. The features are then evaluated according to rules that capture the multidiscipline knowledge of experts and are already inputted into the computer. The computer iterations are processed until an acceptable conclusion is made regarding the condition of the material under evaluation, thus alleviating the need for multidiscipline experts to examine and analyze all the material data manually. | 03-07-2013 |
20140107947 | AUTONOMOUS NON-DESTRUCTIVE INSPECTION - Autonomous non-destructive inspection equipment provides automatic and/or continuous inspection and evaluation of a material under inspection. The inspection equipment comprises at least one detection sensor and at least one detection sensor interface for a computer. The signals are communicated from the sensor to the computer. The signals are then conditioned and evaluated according to knowledge already inputted into the computer. The computer iterations are processed until an acceptable conclusion is made regarding the type of imperfection that is detected. | 04-17-2014 |
Wanda G. Papadimitriou, Houston, TX US
Patent application number | Description | Published |
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20120130651 | AUTONOMOUS FITNESS FOR SERVICE ASSESSMENT - The equipment comprises at least one computer and a material features acquisition system operable to detect a plurality of material features. The features are then evaluated according to rules that capture the multidiscipline knowledge of experts and are already inputted into the computer. The computer iterations are processed until an acceptable conclusion is made regarding the condition of the material under evaluation. | 05-24-2012 |
20130060487 | AUTONOMOUS REMAINING USEFUL LIFE ESTIMATION - The equipment comprises at least one computer and a material features acquisition system operable to detect a plurality of material features. The features are then evaluated according to rules that capture the multidiscipline knowledge of experts and are already inputted into the computer. The computer iterations are processed until an acceptable conclusion is made regarding the condition of the material under evaluation, thus alleviating the need for multidiscipline experts to examine and analyze all the material data manually. | 03-07-2013 |