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公开(公告)号：US20180039894A1
公开(公告)日：2018-02-08
申请号：US15230932
申请日：2016-08-08
摘要： Methods, systems, and computer program products for expressive temporal predictions over semantically-driven time windows are provided herein. A computer-implemented method includes identifying, within a knowledge graph pertaining to a given prediction, a subset of the knowledge graph related to one or more predicted training examples, wherein the subset comprises (i) a set of nodes and (ii) one or more relationships among the set of nodes; determining, for the identified subset, one or more snapshots of the knowledge graph relevant to the given prediction; quantifying a validity window for the one or more predicted training examples, wherein the validity window comprises a temporal bound for prediction validity; and computing a validity window for the given prediction based on the quantified validity window for the one or more predicted training examples.
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公开(公告)号：US09747550B2
公开(公告)日：2017-08-29
申请号：US14745899
申请日：2015-06-22
CPC分类号： G06N5/022 , G06F17/30598 , G06N99/005
摘要： A mechanism is provided for identifying a set of top-in clusters from a set of top-k plans. A planning problem and an integer value k indicating a number of top plans to be identified are received. A set of top-k plans are generated with at most size k, where the set of top-k plans is with respect to a given measure of plan quality. Each plan in the set of top-k plans is clustered based on a similarity between plans such that each cluster contains similar plans and each plan is grouped only into one cluster thereby forming the set of top-m clusters. A representative plan from each top-m cluster is presented to the user.
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公开(公告)号：US20170116376A1
公开(公告)日：2017-04-27
申请号：US14920327
申请日：2015-10-22
发明人： Achille B. Fokoue-Nkoutche , Oktie Hassanzadeh , Mohammad Sadoghi Hamedani , Meinolf Sellmann , Ping Zhang
IPC分类号： G06F19/00
CPC分类号： G06F19/326 , G06F19/3456
摘要： Embodiments include method, systems and computer program products for predicting adverse drug events on a computational system. Aspects include receiving known drug data from drug databases and one or more of a candidate drug, a drug pair, and a candidate drug-patient pair. Aspects also include calculating an adverse event prediction rating representing a confidence level of an adverse drug event for the candidate drug, a drug pair, and a candidate drug-patient pair, the rating being based on the known drug data. Aspects also include associating adverse event features with the candidate drug, drug pair, or a candidate drug-patient pair, including a nature, cause, mechanism, or severity of the adverse drug event. Aspects also include calculating and outputting an adverse event prediction rating.
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公开(公告)号：US20160085761A1
公开(公告)日：2016-03-24
申请号：US14960696
申请日：2015-12-07
IPC分类号： G06F17/30
CPC分类号： G06F17/3053 , G06F17/30554 , G06F17/30572 , G06F17/30864
摘要： A unified interface that abstracts the underlying differences among heterogeneous data sources and data formats to produce uniform search results. While the result of an initial search may be exactly what the user was seeking, it is likely that the result is in the neighborhood of what was sought. It may aid the end user to provide guided data navigation suggestions to locate related data during data exploration, by providing analysis to identify data similarities among disparate data sources, and by providing guided combination options. The guided data navigation suggestions may include suggestions based on schematic, semantic, and social information. Guided data navigation may aid the user in moving from the initial search landing point in the data to the precise result sought.
摘要翻译： 一个统一的界面，用于提取异构数据源和数据格式之间的潜在差异，以产生统一的搜索结果。 虽然初次搜索的结果可能正是用户正在寻找的结果，但结果可能在所寻求的附近。 通过提供分析来识别不同数据源之间的数据相似性，并提供指导的组合选项，可能有助于最终用户提供指导数据导航建议，以在数据搜索期间定位相关数据。 引导数据导航建议可能包括基于原理图，语义和社会信息的建议。 引导数据导航可以帮助用户从数据中的初始搜索着陆点移动到所寻求的精确结果。
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公开(公告)号：US11922129B2
公开(公告)日：2024-03-05
申请号：US17354171
申请日：2021-06-22
发明人： Manik Bhandari , Oktie Hassanzadeh , Mark David Feblowitz , Kavitha Srinivas , Shirin Sohrabi Araghi
摘要： A computer-implemented method is provided that includes accessing candidate text and a candidate pair including first and second phrases, substituting the first and second phrases into cause-effect patterns to generate variant sentences. An artificial intelligence model is leveraged to determine respective probabilities that the variant sentences are inferred from the candidate text, calculate a statistical measure of the respective probabilities, and assess the calculated statistical measure to ascertain whether the first and second phrases possess a causal relationship or non-causal relationship to one another. A knowledge base including one or more pairs of cause-effect phrase pairs is populated with the first and second phrases possessing the causal relationship. A computer system and a computer program product are also provided.
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公开(公告)号：US20180053095A1
公开(公告)日：2018-02-22
申请号：US15241565
申请日：2016-08-19
CPC分类号： G06N5/022 , G06F16/00 , G06F16/28 , G06F16/9024 , G06N20/00
摘要： Methods, systems, and computer program products for iterative and targeted feature selection are provided herein. A computer-implemented method includes generating a first prediction value for a variable attribute of a set of objects by executing a predictive model that comprises a set of features for the set of objects; evaluating the prediction error of the predictive model based on said first prediction value; generating additional features upon a determination that the prediction error exceeds a threshold; incorporating the additional features into the predictive model, generating an updated predictive model; generating a second prediction value for the variable attribute by executing the updated predictive model; evaluating the prediction error of the updated predictive model based on said second prediction value; and outputting the second prediction value to a user upon a determination that the prediction error of the updated predictive model is below the threshold.
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7.发明申请公开(公告)号：US20170124217A1
公开(公告)日：2017-05-04
申请号：US14927712
申请日：2015-10-30
IPC分类号： G06F17/30
CPC分类号： G06F16/9024 , G06F16/36
摘要： A method, system, and recording medium for knowledge graph augmentation using data based on a statistical analysis of attributes in the data, including mapping classes, attributes, and instances of the classes of the data, indexing semantically similar input data elements based on the mapped data using at least one of a label-based analysis, a content-based analysis, and an attribute-based clustering, and ranking the semantically similar input data elements to create a ranked list.
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8.发明申请Database Query Processing Using Horizontal Data Record Alignment of Multi-Column Range Summaries 有权数据库查询处理使用多列范围摘要的水平数据记录对齐公开(公告)号：US20150347549A1
公开(公告)日：2015-12-03
申请号：US14293827
申请日：2014-06-02
IPC分类号： G06F17/30
CPC分类号： G06F17/30575 , G06F17/30312 , G06F17/30489
摘要： Organizing data within a database is provided. In response to determining that a group of coarsified data records within a database table is not an aligned group of data records, a virtually replicated subgroup of coarsified data records that corresponds to the group of coarsified data records is generated from different groups of coarsified data records within the database table. The virtually replicated subgroup of coarsified data records is aligned with the corresponding group of coarsified data records.
摘要翻译： 提供数据库内的数据组织。 响应于确定数据库表中的一组粗化的数据记录不是对齐的数据记录组，从粗化数据记录的不同组生成对应于粗化数据记录组的虚拟复制的粗化数据记录子组 在数据库表中。 粗化数据记录的虚拟复制子组与相应的粗化数据记录组对齐。
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公开(公告)号：US20150052125A1
公开(公告)日：2015-02-19
申请号：US13968486
申请日：2013-08-16
IPC分类号： G06F17/30
CPC分类号： G06F17/3053 , G06F17/30554 , G06F17/30572 , G06F17/30864
摘要： A method and system for interfacing with an end user to search, navigate, and combine large numbers of heterogeneous data sources with varying data characteristics. End user entered search terms are received and the end user is then presented a guided exploration including search results and search result details. The end user is also presented with a guided combination including search result combination options and combination details. Both the guided exploration and guided combination render all data from the heterogeneous data sources in a uniform data format and both can culminate in saving selected results.
摘要翻译： 用于与最终用户进行接口以搜索，导航和组合具有变化的数据特征的大量异构数据源的方法和系统。 接收最终用户输入的搜索项，然后向最终用户呈现包括搜索结果和搜索结果详细信息的指导性探索。 最终用户还可以看到引导组合，包括搜索结果组合选项和组合细节。 引导式探索和引导组合都能以统一的数据格式显示来自异构数据源的所有数据，两者都可以最终节省选定的结果。
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公开(公告)号：US11734602B2
公开(公告)日：2023-08-22
申请号：US16659249
申请日：2019-10-21
CPC分类号： G06N20/00 , G06F16/2228 , G06F40/30 , G06N5/02 , G06N5/04
摘要： Embodiments for automated feature engineering are provided. Data associated with a machine learning model is received. The received data is mapped to at least one description associated with the data. A feature for the machine learning model is generated based on a formula within a corpus. The formula is associated with the at least one description.
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