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1. 发明申请

US20170154106A1 METHOD, COMPUTER PROGRAM AND COMPUTER FOR DETECTING COMMUNITIES IN SOCIAL MEDIA 审中-公开
公开(公告)号：US20170154106A1
公开(公告)日：2017-06-01
申请号：US15430767
申请日：2017-02-13
申请人： International Business Machines Corporation
发明人： Miki Enoki , Yohei Ikawa , Raymond Harry Rudy
IPC分类号： G06F17/30 , H04L29/08 , H04L12/58
CPC分类号： G06F17/30705 , G06F17/30 , G06F17/30554 , G06F17/30598 , G06F17/30867 , G06F17/30943 , G06F17/30991 , G06Q50/01 , H04L51/32 , H04L67/306
摘要： The present invention provides at least a method includes: extracting a plurality of partial communities from a plurality of users, based on the relationships of companion messages; computing a first degree of similarity for showing the similarity of the companion partial communities, based on the relationship of a user belonging to one partial community with a user belonging to the other partial community, from among the plurality of communities; computing a second degree of similarity for showing the similarity of companion partial communities, based on words within the messages sent by users belonging to both partial communities and under the condition that the first similarity be higher than a predetermined first threshold value; and creating an integrated community by integrating the companion partial communities under the condition that the second similarity be higher than a predetermined second threshold value.

2. 发明授权

US09292439B2 Method, device and computer program for identifying items having high frequency of occurrence among items included in a text data stream 有权
标题翻译：方法，装置和计算机程序，用于识别包括在文本数据流中的项目之间具有高发生频率的项目
公开(公告)号：US09292439B2
公开(公告)日：2016-03-22
申请号：US13799951
申请日：2013-03-13
申请人： International Business Machines Corporation
发明人： Teruo Koyanagi , Takayuki Osogami , Raymond Harry Rudy
IPC分类号： G06F12/08 , H04L12/26 , G06F17/30 , G06F17/18
CPC分类号： G06F12/08 , G06F17/18 , G06F17/30619 , H04L43/022 , H04L43/16
摘要： A method, device and computer program for efficiently identifying items having a high frequency of occurrence among items included in a large-volume text data stream. Identification information for identifying an item and a count of items are stored in a higher level of memory and only identification information is stored in a lower level. Text data stream input is received, the increment of the count of an item is increased in response to storage in the higher level memory of identification information for an item included in a bucket divided from the received text data stream input, identification information for the item is transferred with the initial count to the higher level of memory in response to storage in the lower level and the identification information for the item is newly stored with the initial count in the higher level in response to not being stored on any level.
摘要翻译：一种方法，设备和计算机程序，用于在大容量文本数据流中包括的项目中有效地识别具有高频率发生的项目。用于识别物品的识别信息和物品数量被存储在更高级别的存储器中，并且仅将识别信息存储在较低级别中。接收到文本数据流输入，响应于从接收到的文本数据流输入划分的包含在桶中的项目的识别信息的较高级存储器中的存储，项目的计数增加，项目的标识信息响应于在较低级别的存储而将初始计数转移到较高级别的存储器，并且响应于不存储在任何级别上，新存储具有较高级别的初始计数的项目的标识信息。

3. 发明申请

US20140337343A1 METHOD, COMPUTER PROGRAM AND COMPUTER FOR DETECTING COMMUNITIES IN SOCIAL MEDIA 有权
标题翻译：方法，用于检测社会媒体社区的计算机程序和计算机
公开(公告)号：US20140337343A1
公开(公告)日：2014-11-13
申请号：US14363161
申请日：2012-11-22
申请人： INTERNATIONAL BUSINESS MACHINES CORPORATION
发明人： Miki Enoki , Yohei Ikawa , Raymond Harry Rudy
IPC分类号： G06F17/30 , H04L12/58
CPC分类号： G06F17/30705 , G06F17/30 , G06F17/30554 , G06F17/30598 , G06F17/30867 , G06F17/30943 , G06F17/30991 , G06Q50/01 , H04L51/32 , H04L67/306
摘要： The present invention provides at least a method includes: extracting a plurality of partial communities from a plurality of users, based on the relationships of companion messages; computing a first degree of similarity for showing the similarity of the companion partial communities, based on the relationship of a user belonging to one partial community with a user belonging to the other partial community, from among the plurality of communities; computing a second degree of similarity for showing the similarity of companion partial communities, based on words within the messages sent by users belonging to both partial communities and under the condition that the first similarity be higher than a predetermined first threshold value; and creating an integrated community by integrating the companion partial communities under the condition that the second similarity be higher than a predetermined second threshold value.
摘要翻译：本发明提供至少一种方法，包括：基于伴随消息的关系从多个用户中提取多个部分社区; 基于属于一个部分社区的用户与属于另一个部分社区的用户的关系，计算第一相似度以显示伴随部分社区的相似性; 基于属于两个部分社区的用户发送的消息内的字和在第一相似度高于预定的第一阈值的条件下，计算用于显示伴随部分社区的相似性的第二程度的相似度; 并且在第二相似度高于预定的第二阈值的条件下，通过整合伴侣部分社区来创建综合社区。

4. 发明申请

US20130275677A1 Method, Device and Computer Program for Identifying Items Having High Frequency of Occurrence Among Items Included in a Text Data Stream 有权
标题翻译：用于识别在文本数据流中包含的项目中发生频率高的项目的方法，设备和计算机程序
公开(公告)号：US20130275677A1
公开(公告)日：2013-10-17
申请号：US13799951
申请日：2013-03-13
申请人： INTERNATIONAL BUSINESS MACHINES CORPORATION
发明人： Teruo Koyanagi , Takayuki Osogami , Raymond Harry Rudy
IPC分类号： G06F12/08
CPC分类号： G06F12/08 , G06F17/18 , G06F17/30619 , H04L43/022 , H04L43/16
摘要： A method, device and computer program for efficiently identifying items having a high frequency of occurrence among items included in a large-volume text data stream. Identification information for identifying an item and a count of items are stored in a higher level of memory and only identification information is stored in a lower level. Text data stream input is received, the increment of the count of an item is increased in response to storage in the higher level memory of identification information for an item included in a bucket divided from the received text data stream input, identification information for the item is transferred with the initial count to the higher level of memory in response to storage in the lower level and the identification information for the item is newly stored with the initial count in the higher level in response to not being stored on any level.
摘要翻译：一种方法，设备和计算机程序，用于在大容量文本数据流中包括的项目中有效地识别具有高频率发生的项目。用于识别物品的识别信息和物品数量被存储在更高级别的存储器中，并且仅将识别信息存储在较低级别中。接收到文本数据流输入，响应于从接收到的文本数据流输入划分的包含在桶中的项目的识别信息的较高级存储器中的存储，项目的计数增加，项目的标识信息响应于在较低级别的存储而将初始计数转移到较高级别的存储器，并且响应于不存储在任何级别上，新存储具有较高级别的初始计数的项目的标识信息。

5. 发明申请

US20170131183A1 DEVICE, METHOD, AND PROGRAM FOR CRASH SIMULATION 审中-公开
公开(公告)号：US20170131183A1
公开(公告)日：2017-05-11
申请号：US15416184
申请日：2017-01-26
申请人： International Business Machines Corporation
发明人： Tsuyoshi Ide , Raymond Harry Rudy
IPC分类号： G01M17/007 , G01B21/32
CPC分类号： G01M17/0078 , G01B21/32
摘要： Device, method, and program for analyzing deformation in an object during crash simulation. A device for analyzing deformation in an object is provided. The device includes: a memory; a processor device communicatively coupled to the memory; and a module for analyzing deformation in an object coupled to the memory and the processor device to operate the following units: an acquisition unit for acquiring coordinate data along a time series at a plurality of points in the object; a calculation unit for calculating an amount of deformation feature indicating an amount of deformation in the object over time from the coordinate data at the plurality of points at each time in the time series; and a storage unit for setting the time series data for the amount of deformation feature as data for specifying a deformed state of the object, associating said data with the object, and storing the associated data.

6. 发明申请

US20140373031A1 Method, Device and Computer Program For Visualizing Risk Assessment Values in Event Sequences 审中-公开
标题翻译：方法，设备和计算机程序，用于可视化事件序列中的风险评估值
公开(公告)号：US20140373031A1
公开(公告)日：2014-12-18
申请号：US14362614
申请日：2012-11-29
申请人： INTERNATIONAL BUSINESS MACHINES CORPORATION
发明人： Tsuyoshi Ide , Raymond Harry Rudy
IPC分类号： G06F9/54
CPC分类号： G06F9/542 , G16H50/30
摘要： The present invention provides a method, system and computer program in which risk assessment values are calculated and displayed for event sequences, in which the event sequences consist of events of a finite number M of types and in which some of the event group is a partially ordered set in a time series. An M-dimensional sparsely ordered matrix is generated on the basis of an event sequence, interpolation is performed between the elements of the generated sparsely ordered matrix, and a densely ordered matrix is calculated. A mapping matrix is calculated for mapping the similarity relations between event sequences in two-dimensional space or three-dimensional space based on the calculated densely ordered matrix, the corresponding points of each event sequence are calculated in two-dimensional space or three-dimensional space using the calculated mapping matrix, and the calculated corresponding points are outputted and displayed in two-dimensional or three-dimensional space.
摘要翻译：本发明提供了一种方法，系统和计算机程序，其中为事件序列计算和显示风险评估值，其中事件序列由有限数量M的类型的事件组成，并且其中一些事件组是部分地订购时间序列。基于事件序列生成M维稀疏排序矩阵，在所生成的稀疏排列矩阵的元素之间进行插值，并计算密集排序的矩阵。计算映射矩阵，用于基于计算出的密集有序矩阵来映射二维空间或三维空间中的事件序列之间的相似关系，每个事件序列的对应点在二维空间或三维空间中计算使用计算的映射矩阵，并且计算的对应点被输出并显示在二维或三维空间中。

7. 发明授权

US09659098B2 Method, computer program and computer for detecting communities in social media 有权
公开(公告)号：US09659098B2
公开(公告)日：2017-05-23
申请号：US14363161
申请日：2012-11-22
申请人： INTERNATIONAL BUSINESS MACHINES CORPORATION
发明人： Miki Enoki , Yohei Ikawa , Raymond Harry Rudy
IPC分类号： G06F7/02 , G06F17/30 , H04L29/08 , G06Q50/00 , H04L12/58
CPC分类号： G06F17/30705 , G06F17/30 , G06F17/30554 , G06F17/30598 , G06F17/30867 , G06F17/30943 , G06F17/30991 , G06Q50/01 , H04L51/32 , H04L67/306
摘要： The present invention provides at least a method includes: extracting a plurality of partial communities from a plurality of users, based on the relationships of companion messages; computing a first degree of similarity for showing the similarity of the companion partial communities, based on the relationship of a user belonging to one partial community with a user belonging to the other partial community, from among the plurality of communities; computing a second degree of similarity for showing the similarity of companion partial communities, based on words within the messages sent by users belonging to both partial communities and under the condition that the first similarity be higher than a predetermined first threshold value; and creating an integrated community by integrating the companion partial communities under the condition that the second similarity be higher than a predetermined second threshold value.

8. 发明申请

US20160092782A1 INFORMATION PROCESSING APPARATUS, PROGRAM AND INFORMATION PROCESSING METHOD 审中-公开
标题翻译：信息处理设备，程序和信息处理方法
公开(公告)号：US20160092782A1
公开(公告)日：2016-03-31
申请号：US14865274
申请日：2015-09-25
申请人： International Business Machines Corporation
发明人： Satoshi Hara , Tetsuro Morimura , Raymond Harry Rudy , Hidemasa Muta
IPC分类号： G06N5/04 , G06N7/00 , G06N99/00
CPC分类号： G06N3/006 , G08G1/0129 , G08G1/0145
摘要： To identify a scenario that will bear a good simulation result from among a plurality of scenarios used in an agent-based simulation with a reduced amount of computation, there is provided an information processing apparatus comprising a counting part configured to count the number of agents in each of a plurality of states at a middle of a simulation that involves a plurality of agents, and a generation part configured to generate characteristic data used for prediction of a result of the simulation based on the number of agents in each of the plurality of states.
摘要翻译：为了识别在具有减少的计算量的基于代理的模拟中使用的多个场景中将承载良好的模拟结果的场景，提供了一种信息处理设备，包括计数部件，其被配置为对所述代理程序的数量进行计数在模拟中间涉及多个代理的多个状态中的每一个，以及生成部，被配置为基于多个状态中的每一个中的代理的数量，生成用于预测模拟结果的特征数据。

9. 发明申请

US20150067078A1 METHOD, COMPUTER PROGRAM AND COMPUTER FOR DETECTING TRENDS IN SOCIAL MEDIA 有权
标题翻译：方法，用于检测社会媒体趋势的计算机程序和计算机
公开(公告)号：US20150067078A1
公开(公告)日：2015-03-05
申请号：US14363323
申请日：2012-11-16
申请人： INTERNATIONAL BUSINESS MACHINES CORPORATION
发明人： Miki Enoki , Yohei Ikawa , Tetsuya Nasukawa , Raymond Harry Rudy
IPC分类号： H04L12/58
CPC分类号： H04L51/32 , G06F17/30702 , G06F17/30861 , G06Q50/01 , H04L51/34
摘要： The present invention provides a method for selecting an identified message group from among the plurality of messages sent by a plurality of users of social media. For the messages sent by users other than the original user that quote the message sent by the original message user, the method provides: performing a primary evaluation of the potential for being further resent; identifying a single user who has sent a message for which the primary evaluation result was higher than a predetermined first threshold; identifying a message group similar to a resent messages group, based on a resent messages group that quotes the message send by the single user; performing a secondary evaluation for the potential that the similar message group will be further resent; and selecting a message group for which the secondary evaluation result was higher than a predetermined second threshold.
摘要翻译：本发明提供一种用于从社交媒体的多个用户发送的多个消息中选择所识别的消息组的方法。对于引用原始消息用户发送的消息的原始用户以外的用户发送的消息，该方法提供：对进一步重新发送的潜在性进行初步评估; 识别已经发送了主要评估结果高于预定第一阈值的消息的单个用户; 基于引用由单个用户发送的消息的重新发送消息组来识别类似于重新发送消息组的消息组; 对类似信息组将进一步反映的潜力进行二次评估; 以及选择次级评估结果高于预定的第二阈值的消息组。

10. 发明授权

US10068009B2 Method, computer program and computer for detecting communities in social media 有权
公开(公告)号：US10068009B2
公开(公告)日：2018-09-04
申请号：US15430767
申请日：2017-02-13
申请人： International Business Machines Corporation
发明人： Miki Enoki , Yohei Ikawa , Raymond Harry Rudy
IPC分类号： G06F7/02 , G06F17/30 , H04L29/08 , G06Q50/00 , H04L12/58
摘要： The present invention provides at least a method includes: extracting a plurality of partial communities from a plurality of users, based on the relationships of companion messages; computing a first degree of similarity for showing the similarity of the companion partial communities, based on the relationship of a user belonging to one partial community with a user belonging to the other partial community, from among the plurality of communities; computing a second degree of similarity for showing the similarity of companion partial communities, based on words within the messages sent by users belonging to both partial communities and under the condition that the first similarity be higher than a predetermined first threshold value; and creating an integrated community by integrating the companion partial communities under the condition that the second similarity be higher than a predetermined second threshold value.

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