公开(公告)号：US10474667B2

公开(公告)日：2019-11-12

申请号：US15811710

申请日：2017-11-14

Applicant: VMWARE, INC.

Inventor： Chandrashekhar Jha ,  Jobin George ,  Prateek Sahu ,  Kumar Gaurav ,  Jusvinder Singh

IPC: G06F16/23 ,  G06F3/06 ,  G06F16/25 ,  G06F16/22 ,  G06F16/951

Abstract: Methods and systems are directed to detection and correction of outliers in a dataset stored in a data-storage device. The dataset comprises parameter data that may be stored and organized in the form of a data table with rows and columns of parameter values. Each column of the parameter data is searched for outlier parameter values based on the parameters values in the same column. The parameter data as a whole may be searched for outlier rows of parameter values based on first and second largest variations in the parameter data. Substitute parameter values are determined for the outlier parameter values based on non-outlier parameter values of the parameter data. The substitute parameter values and corresponding outlier parameter values may be displayed in a database management user interface that enables a user to selectively accept or reject each of the substitute parameter values for the corresponding outlier parameter values.

公开(公告)号：US20190034473A1

公开(公告)日：2019-01-31

申请号：US15811710

申请日：2017-11-14

Applicant: VMWARE, INC.

Inventor： CHANDRASHEKHAR JHA ,  Jobin George ,  Prateek Sahu ,  Kumar Gaurav ,  Jusvinder Singh

IPC: G06F17/30 ,  G06F3/06

Abstract: Methods and systems are directed to detection and correction of outliers in a dataset stored in a data-storage device. The dataset comprises parameter data that may be stored and organized in the form of a data table with rows and columns of parameter values. Each column of the parameter data is searched for outlier parameter values based on the parameters values in the same column. The parameter data as a whole may be searched for outlier rows of parameter values based on first and second largest variations in the parameter data. Substitute parameter values are determined for the outlier parameter values based on non-outlier parameter values of the parameter data. The substitute parameter values and corresponding outlier parameter values may be displayed in a database management user interface that enables a user to selectively accept or reject each of the substitute parameter values for the corresponding outlier parameter values.

公开(公告)号：US20190163720A1

公开(公告)日：2019-05-30

申请号：US15898238

申请日：2018-02-16

Applicant: VMWARE, INC.

Inventor： CHANDRASHEKHAR JHA ,  Jobin George ,  Prateek Sahu ,  Kumar Gaurav ,  Jusvinder Singh

IPC: G06F17/18 ,  G06F17/30 ,  G06F17/11 ,  G06Q10/06

CPC classification number: G06F17/18 ,  G06F16/285 ,  G06F17/11 ,  G06Q10/063

Abstract: Methods and systems predict parameters in a dataset of an identified piece of (“information technology”) IT equipment. An automated method identifies datasets IT equipment in a same category of IT equipment as a piece of IT equipment identified as having incomplete dataset information. Each dataset of IT equipment parameters are used to construct generalized linear models of different classes of IT equipment within the category of IT equipment. The class of the identified IT equipment is determined. A predicted equipment parameter of incomplete information of the identified piece of IT equipment is computed using the generalized linear model associated with the class. The predicted equipment parameter can be used to complete the dataset of the identified piece of IT equipment.

公开(公告)号：US11651050B2

公开(公告)日：2023-05-16

申请号：US16866664

申请日：2020-05-05

Applicant: VMware, Inc.

Inventor： Chandrashekhar Jha ,  Jobin George ,  Prateek Sahu ,  Kumar Gaurav ,  Jusvinder Singh

IPC: G06F17/18 ,  G06Q10/063 ,  G06F17/11 ,  G06F16/28

CPC classification number: G06F17/18 ,  G06F16/285 ,  G06F17/11 ,  G06Q10/063

Abstract: Methods and systems predict parameters in a dataset of an identified piece of (“information technology”) IT equipment. An automated method identifies datasets IT equipment in a same category of IT equipment as a piece of IT equipment identified as having incomplete dataset information. Each dataset of IT equipment parameters is used to construct generalized linear models of different classes of IT equipment within the category of IT equipment. The class of the identified IT equipment is determined. A predicted equipment parameter of incomplete information of the identified piece of IT equipment is computed using the generalized linear model associated with the class. The predicted equipment parameter can be used to complete the dataset of the identified piece of IT equipment.

公开(公告)号：US20200265111A1

公开(公告)日：2020-08-20

申请号：US16866664

申请日：2020-05-05

Applicant: VMware, Inc.

Inventor： Chandrashekhar Jha ,  Jobin George ,  Prateek Sahu ,  Kumar Gaurav ,  Jusvinder Singh

IPC: G06F17/18 ,  G06F16/28 ,  G06F17/11 ,  G06Q10/06

Abstract: Methods and systems predict parameters in a dataset of an identified piece of (“information technology”) IT equipment. An automated method identifies datasets IT equipment in a same category of IT equipment as a piece of IT equipment identified as having incomplete dataset information. Each dataset of IT equipment parameters is used to construct generalized linear models of different classes of IT equipment within the category of IT equipment. The class of the identified IT equipment is determined. A predicted equipment parameter of incomplete information of the identified piece of IT equipment is computed using the generalized linear model associated with the class. The predicted equipment parameter can be used to complete the dataset of the identified piece of IT equipment.

公开(公告)号：US10678888B2

公开(公告)日：2020-06-09

申请号：US15898238

申请日：2018-02-16

Applicant: VMWARE, INC.

Inventor： Chandrashekhar Jha ,  Jobin George ,  Prateek Sahu ,  Kumar Gaurav ,  Jusvinder Singh

IPC: G06F17/18 ,  G06Q10/06 ,  G06F17/11 ,  G06F16/28

Abstract: Methods and systems predict parameters in a dataset of an identified piece of (“information technology”) IT equipment. An automated method identifies datasets IT equipment in a same category of IT equipment as a piece of IT equipment identified as having incomplete dataset information. Each dataset of IT equipment parameters are used to construct generalized linear models of different classes of IT equipment within the category of IT equipment. The class of the identified IT equipment is determined. A predicted equipment parameter of incomplete information of the identified piece of IT equipment is computed using the generalized linear model associated with the class. The predicted equipment parameter can be used to complete the dataset of the identified piece of IT equipment.