公开(公告)号：US12086146B2

公开(公告)日：2024-09-10

申请号：US18072652

申请日：2022-11-30

申请人： Intuit Inc.

发明人： Sheer Dangoor ,  Yair Horesh ,  Aviv Ben Arie ,  Hagai Fine

IPC分类号： G06F16/2457

CPC分类号： G06F16/24575

摘要： A method includes processing a set of query texts to identify a set of expressions, where each expression references a set of columns of datetime data in a datastore. The method also includes training a statistical model to determine a distribution of the datetime data for each column that was identified. The method further includes processing the set of expressions to generate a directed graph including more than one nodes and a plurality of edges, where each node represents one of the columns or a transformation applied by one of the expressions to one of the columns. The method additionally includes generating a weight for edges of the directed graph according to a distribution of the datetime data in the columns and a usage index of a corresponding expression.

公开(公告)号：US20240176787A1

公开(公告)日：2024-05-30

申请号：US18072652

申请日：2022-11-30

申请人： INTUIT INC.

发明人： Sheer Dangoor ,  Yair Horesh ,  Aviv BenArie ,  Hagai Fine

IPC分类号： G06F16/2457 ,  G06F16/2455

CPC分类号： G06F16/24575 ,  G06F16/24552

摘要： A method includes processing a set of query texts to identify a set of expressions, where each expression references a set of columns of datetime data in a datastore. The method also includes training a statistical model to determine a distribution of the datetime data for each column that was identified. The method further includes processing the set of expressions to generate a directed graph including more than one nodes and a plurality of edges, where each node represents one of the columns or a transformation applied by one of the expressions to one of the columns. The method additionally includes generating a weight for edges of the directed graph according to a distribution of the datetime data in the columns and a usage index of a corresponding expression.

公开(公告)号：US12118077B2

公开(公告)日：2024-10-15

申请号：US17154293

申请日：2021-01-21

申请人： Intuit Inc.

发明人： Miriam Hanna Manevitz ,  Liat Ben Porat Roda ,  Or Basson ,  Aviv Ben Arie ,  Hagai Fine

IPC分类号： H04L9/40 ,  G06F16/901 ,  G06F17/16 ,  G06F21/55

CPC分类号： G06F21/552 ,  G06F16/9027 ,  G06F17/16 ,  H04L63/1425 ,  G06F2221/034 ,  G06F2221/2101

摘要： A plurality of graph snapshots for a plurality of consecutive periodic time samples maps between connected components in consecutive graph snapshots and describes at least one feature of each connected component. A recursively-built tree tracks an evolution of one of the connected components through the plurality of graph snapshots, the tree including a root node representing the connected component at a final one of the consecutive periodic time samples and a plurality of leaf nodes branching from the root node. A plurality of paths is extracted from the tree by traversing the tree from the root node to respective ones of the plurality of leaf nodes. Each path contains data describing an evolution of a respective one of the connected components through time as indicated by evolution of the at least one feature of the respective one of the connected components. Each of the plurality of paths is converted into a respective numerical vector of a plurality of numerical vectors that may be used as inputs to a time series anomaly detection algorithm.

公开(公告)号：US20220229903A1

公开(公告)日：2022-07-21

申请号：US17154293

申请日：2021-01-21

申请人： Intuit Inc.

发明人： Miriam Hanna Manevitz ,  Liat Ben Porat Roda ,  Or Basson ,  Aviv Ben Arie ,  Hagai Fine

IPC分类号： G06F21/55 ,  G06F16/901 ,  G06F17/16

摘要： A plurality of graph snapshots for a plurality of consecutive periodic time samples maps between connected components in consecutive graph snapshots and describes at least one feature of each connected component. A recursively-built tree tracks an evolution of one of the connected components through the plurality of graph snapshots, the tree including a root node representing the connected component at a final one of the consecutive periodic time samples and a plurality of leaf nodes branching from the root node. A plurality of paths is extracted from the tree by traversing the tree from the root node to respective ones of the plurality of leaf nodes. Each path contains data describing an evolution of a respective one of the connected components through time as indicated by evolution of the at least one feature of the respective one of the connected components. Each of the plurality of paths is converted into a respective numerical vector of a plurality of numerical vectors that may be used as inputs to a time series anomaly detection algorithm.