Tu D Truong

US Patent:

20180181608, Jun 28, 2018

Filed:

Dec 22, 2016

Appl. No.:

15/389362

Inventors:

- Walldorf, DE
Tu Truong - San Jose CA, US
Michael Kunzmann - Palo Alto CA, US
Hameesh Manadath - Palo Alto CA, US
Hansen Chen - Burnaby, CA
Makoto Sugishita - Osaka, JP
Masamitsu Ochiai - Sunnyvale CA, US

Assignee:

SAP SE - Walldorf

International Classification:

G06F 17/30
G06F 17/27

Abstract:

Technologies are provided for validating expression updates. A change to an editable expression can be detected by a client computing device and an expression update describing the detected change can be transmitted to an application server over a bidirectional communication channel. The application server can analyze the expression update to determine whether the detected change resulted in a valid expression. Analyzing the expression update can comprise locating an entity identifier in the detected change and searching a database to determine whether the identified entity exists. The application server can also determine whether a given user has permission to access the identified entity. The application server can transmit expression update validation information back to the client computing device over the bidirectional communication channel. The client computing device can update a user interface displaying the expression based on the validation information.

US Patent:

20160063072, Mar 3, 2016

Filed:

Dec 11, 2014

Appl. No.:

14/567904

Inventors:

Sivakumar N - Coimbatore, IN
Tu Truong - San Jose CA, US
Nalini Chandhi - Fremont CA, US
Nethaji Tummuru - Sunnyvale CA, US
Manikanta Pachineelam - Union City CA, US
Mario Ponce - Santa Clara CA, US
Chao Zhou - Los Gatos CA, US
Rahul Kabra - Sunnyvale CA, US
Sakshi Chopra - Fremont CA, US
Zhenhua Luo - Mountain View CA, US
Jaehun Jeong - San Jose CA, US

International Classification:

G06F 17/30
G06F 3/0484
G06F 3/0482
G06Q 30/00

Abstract:

Systems, methods, and apparatuses for activity pattern detection are described herein. Embodiments may process large amounts of data from a plurality of different database sources in order to detect events common to the data of the different database sources. Embodiments further perform data mining operations to detect patterns (e.g., two or more events appearing consecutively or non-consecutively), and present these patterns in a graphical user interface (GUI) to illustrate how a plurality of patterns may comprise a business scenario.