公开(公告)号：US20240320223A1

公开(公告)日：2024-09-26

申请号：US18123473

申请日：2023-03-20

Applicant: International Business Machines Corporation

Inventor： Yuan Feng ,  Ling Zhuo ,  Qi Min ,  Pei Pei Liang ,  Yue Yang ,  Jun Wang

IPC: G06F16/2455 ,  G06F11/34 ,  G06F16/242 ,  G06F16/2453

CPC classification number: G06F16/2456 ,  G06F11/3409 ,  G06F16/2423 ,  G06F16/2453

Abstract: A computer-implemented method, system and computer program product for recommending join operations of relational data among different tables. Relationships between one or more pairs of columns of relational data for one or more pairs of tables are identified by determining the semantic similarity between each pair of columns of relational data. The data content join converge for each of the identified relationships in connection with joining the tables involved in such identified relationships is determined. Furthermore, a join strength (indication of the degree that the relational data in the paired columns match) is calculated for each of the identified relationships based on the semantic similarity and the data content join coverage for such identified relationships. Based on the calculated join strength as well as other factors, a combination optimization algorithm identifies the best join combinations of relational data of the tables among a set of tables.

公开(公告)号：US20230409421A1

公开(公告)日：2023-12-21

申请号：US17844357

申请日：2022-06-20

Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION

Inventor： Yi Dai ,  Ling Zhuo ,  Ying Cao ,  Yin Xia ,  Junfei Shen

IPC: G06F11/07

CPC classification number: G06F11/0751 ,  G06F11/0709

Abstract: First event data is obtained from a first computer system and second event data is obtained from a second computer system. A first shape of the first event data is identified, and a second shape of the second event data is identified. A shape similarity between the first shape and the second shape is calculated. The shape similarity is determined to be above a similarity threshold. Training features are generated from the first event data and the second event data based on the determining. The training features are input into an anomaly-detection model.

公开(公告)号：US20230084737A1

公开(公告)日：2023-03-16

申请号：US17470786

申请日：2021-09-09

Applicant: International Business Machines Corporation

Inventor： Tian Jiao Zhang ,  Yuan Feng ,  Yan Yan Han ,  SU LI HOU ,  Xue Ying Zhang ,  Jing Xu ,  Ling Zhuo

IPC: H04L12/24 ,  G06N20/00 ,  H04L29/08

Abstract: An approach is provided in which the approach captures a first user activity log of a first user accessing multiple systems and captures a set of second user activity logs of a set of second users accessing the multiple systems. The approach determines a set of system monitoring preferences based the first user activity log and the set of second user activity logs, and scores the multiple systems based on the set of system monitoring preferences. The approach generates a recommended system monitoring list based on the scored multiple systems, and transmits the recommended system monitoring list to the first user.

公开(公告)号：US20230063608A1

公开(公告)日：2023-03-02

申请号：US17411297

申请日：2021-08-25

Applicant: International Business Machines Corporation

Inventor： Ling Zhuo ,  Pei Pei Liang ,  Lin Yan Wu ,  Li Zhou ,  Yue Yang ,  Yun Bo Zhang ,  Tao Wen

IPC: G06F16/957 ,  G06N5/04 ,  G06K9/62 ,  G06F40/14 ,  G06K9/46

Abstract: An approach is disclosed that determines an amount of time before a webpage is ready to use by a user by performing various actions. The approach captures a recording of the webpage from an invocation of the webpage for a period of time sufficient to load completely load the webpage with the capturing resulting in sequenced image frames. An AI system provides a loading point in the sequenced image frames based on an analysis of the frames input to the trained AI system. Image diversity and saturation measurements are calculated on consecutive image frames from the sequenced image frames resulting in an image change analysis. Native webpage events and times are detected from webpage characteristics gathered from the captured digital recording. The amount of time is then calculated based on the loading point from the AI system, the image change analysis; and the webpage events and their corresponding times.