Patent application number | Description | Published |
20090037428 | Staging A File Within A Distributed Computing System - Methods, apparatus, and products for staging a file within a distributed computing system are disclosed that include defining a topology of the network; mapping each computer to a network location in the topology of the network; selecting, in dependence upon the topology of the network and the network locations of the computers in the network, one or more servers on which to stage the file for use by clients in the network; and staging the file on the one or more selected servers. The distributed computing system includes a plurality of computers coupled for data communications through a data communications network, the distributed computing system also includes files of computer data and computer program instructions for use by the computers, the computers include clients that use the files and servers capable of functioning as staging locations for files for use by the computers in the network. | 02-05-2009 |
20110166850 | CROSS-GUIDED DATA CLUSTERING BASED ON ALIGNMENT BETWEEN DATA DOMAINS - A system and associated method for cross-guided data clustering by aligning target clusters in a target domain to source clusters in a source domain. The cross-guided clustering process takes the target domain and the source domain as inputs. A common word attribute shared by both the target domain and the source domain is a pivot vocabulary, and all other words in both domains are a non-pivot vocabulary. The non-pivot vocabulary is projected onto the pivot vocabulary to improve measurement of similarity between data items. Source centroids representing clusters in the source domain are created and projected to the pivot vocabulary. Target centroids representing clusters in the target domain are initially created by conventional clustering method and then repetitively aligned to converge with the source centroids by use of a cross-domain similarity graph that measures a respective similarity of each target centroid to each source centroid. | 07-07-2011 |
20110167064 | CROSS-DOMAIN CLUSTERABILITY EVALUATION FOR CROSS-GUIDED DATA CLUSTERING BASED ON ALIGNMENT BETWEEN DATA DOMAINS - A system and associated method for evaluating cross-domain clusterability upon a target domain and a source domain. The cross-domain clusterability is calculated as a linear combination of a target clusterability and a source-target pair matchability, by use of a trade-off parameter that determines relative contribution of the target clusterability and the source-target pair matchability. The target clusterability quantifies how clusterable the target domain is. The source-target pair matchability is calculated as an average of a target-side matchability and a source-side matchability, which quantifies how well target centroids of the target domain are aligned with the source centroids and how well source centroids of the source domain are aligned with the target centroids, respectively. | 07-07-2011 |
20110251839 | METHOD AND SYSTEM FOR INTERACTIVELY FINDING SYNONYMS USING POSITIVE AND NEGATIVE FEEDBACK - Determining synonyms of words in a set of documents. Particularly, when provided with a word or phrase as input, in exemplary embodiments there is afforded the return of a predetermined number of “top” synonym words (or phrases) for an input word (or phrase) in a specific collection of text documents. Further, a user is able to provide ongoing and iterative positive or negative feedback on the returned synonym words, by manually accepting or rejecting such words as the process is underway. | 10-13-2011 |
20120036474 | Table Management - The different illustrative embodiments provide a method, computer system, and computer program product to manage a display of objects. A processor unit displays a graphical control configured to receive a user input of a value to control the display of a set of objects relative to a group of properties for the set of objects in a table. A processor unit changes the display of the set of objects to a ratio in a plurality of ratios in the table for the set of objects relative to the group of properties for the set of objects in the table based on the value. | 02-09-2012 |
20120110569 | Installing and Updating Interpreted Programming Language Applications using a Designated Virtual Machine - A method, system and program of executing an interpreted programming language application from a server at a designated virtual machine on a client computer are provided. A manifest file is extracted which indicates at least one resource for the interpreted programming language application as well as the repository file associated with the resource. The repository file is located in a web start cache and moved to a run directory accessible by the designated virtual machine, outside the web start cache. The interpreted programming language application is then executed from the run directory using the at least one resource. | 05-03-2012 |
20120191712 | CROSS-DOMAIN CLUSTERABILITY EVALUATION FOR CROSS-GUIDED DATA CLUSTERING BASED ON ALIGNMENT BETWEEN DATA DOMAINS - A computer program product evaluating cross-domain clusterability upon a target domain and a source domain. The cross-domain clusterability is calculated as a linear combination of a target clusterability and a source-target pair matchability, by use of a trade-off parameter that determines relative contribution of the target clusterability and the source-target pair matchability. The target clusterability quantifies how clusterable the target domain is. The source-target pair matchability is calculated as an average of a target-side matchability and a source-side matchability, which quantifies how well target centroids of the target domain are aligned with the source centroids and how well source centroids of the source domain are aligned with the target centroids, respectively. | 07-26-2012 |
20120191713 | CROSS-DOMAIN CLUSTERABILITY EVALUATION FOR CROSS-GUIDED DATA CLUSTERING BASED ON ALIGNMENT BETWEEN DATA DOMAINS - A process for evaluating cross-domain clusterability upon a target domain and a source domain. The cross-domain clusterability is calculated as a linear combination of a target clusterability and a source-target pair matchability, by use of a trade-off parameter that determines relative contribution of the target clusterability and the source-target pair matchability. The target clusterability quantifies how clusterable the target domain is. The source- target pair matchability is calculated as an average of a target-side matchability and a source-side matchability, which quantifies how well target centroids of the target domain are aligned with the source centroids and how well source centroids of the source domain are aligned with the target centroids, respectively. | 07-26-2012 |
20120197892 | CROSS-DOMAIN CLUSTERABILITY EVALUATION FOR CROSS-GUIDED DATA CLUSTERING BASED ON ALIGNMENT BETWEEN DATA DOMAINS - A computer system for evaluating cross-domain clusterability upon a target domain and a source domain. The cross-domain clusterability is calculated as a linear combination of a target clusterability and a source-target pair matchability, by use of a trade-off parameter that determines relative contribution of the target clusterability and the source-target pair matchability. The target clusterability quantifies how clusterable the target domain is. The source-target pair matchability is calculated as an average of a target-side matchability and a source-side matchability, which quantifies how well target centroids of the target domain are aligned with the source centroids and how well source centroids of the source domain are aligned with the target centroids, respectively. | 08-02-2012 |
20140122492 | CROSS-DOMAIN CLUSTERABILITY EVALUATION FOR CROSS-GUIDED DATA CLUSTERING BASED ON ALIGNMENT BETWEEN DATA DOMAINS - A method and system for evaluating cross-domain clusterability upon a target domain and a source domain. Target clusterability is calculated as an average of a respective clusterability of at least one target data item comprised by the target domain. Target-side matchability is calculated as an average of a respective matchability of each target centroid of the target domain to source centroids of the source domain, wherein the source domain comprises at least one source data item. Source-side matchability is calculated as an average of a respective matchability of each source centroid of said source centroids to the target centroids. Source-target pair matchability is calculated as an average of the target-side matchability and the source-side matchability. Cross-domain clusterability between the target domain and the source domain is calculated as a linear combination of the calculated target clusterability and the calculated source-target pair matchability. The cross-domain clusterability is transferred to a device. | 05-01-2014 |