公开(公告)号：US11768903B2

公开(公告)日：2023-09-26

申请号：US16906077

申请日：2020-06-19

Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION

Inventor： Chao-Min Chang ,  Ying-Chen Yu ,  June-Ray Lin ,  Kuei-Ching Lee ,  Curtis C H Wei

IPC: G06F16/95 ,  G06F16/955 ,  G06N20/00 ,  G06N5/04 ,  G06F40/30 ,  G06F16/951 ,  G06F40/169 ,  G06F40/295 ,  G06F40/205

CPC classification number: G06F16/955 ,  G06F16/951 ,  G06F40/30 ,  G06N5/04 ,  G06N20/00 ,  G06F40/169 ,  G06F40/205 ,  G06F40/295

Abstract: A computer-implemented method for automatically adjusting a Uniform Resource Locator (URL) seed list. The method includes crawling for documents based on a seed URL list. The method generates relations data from the documents using a Natural Language Processing (NLP) model. The method analyzes the relations data using an auto-seed model. The method modifies the seed URL list.

公开(公告)号：US11663402B2

公开(公告)日：2023-05-30

申请号：US16934220

申请日：2020-07-21

Applicant: International Business Machines Corporation

Inventor： Chao-Min Chang ,  Kuei-Ching Lee ,  Ci-Hao Wu ,  Chia-Heng Lin

IPC: G06F40/242 ,  G06F40/295 ,  G06F40/58

CPC classification number: G06F40/242 ,  G06F40/295 ,  G06F40/58

Abstract: An approach for a fast and accurate word embedding model, “desc2vec,” for out-of-dictionary (OOD) words with a model learning from the dictionary descriptions of the word is disclosed. The approach includes determining that a target text element is not in a set of reference text elements, information describing the target text element is obtained. The information comprises a set of descriptive text elements. A set of vectorized representations for the set of descriptive text elements is determined. A target vectorized representation for the target text element is determined based on the set of vectorized representations using a machine learning model. The machine learning model is trained to represent a predetermined association between the set of vectorized representations for the set of descriptive text elements describing the target text element and the target vectorized representation.

公开(公告)号：US20200125681A1

公开(公告)日：2020-04-23

申请号：US16167653

申请日：2018-10-23

Applicant: International Business Machines Corporation

Inventor： June-Ray Lin ,  Curtis CH Wei ,  Hsieh-Lung Yang ,  Ying-Chen Yu ,  Chia-Heng Lin ,  Ci-Hao Wu ,  Chen-Yu Huang ,  Kuei-Ching Lee

IPC: G06F17/30 ,  G06K9/62

Abstract: A method, computer program product, and computing system device for receiving, on a computing device, a plurality of webpages. At least one webpage may be filtered from the plurality of webpages into at least one set of webpages using a decision tree algorithm. At least one remaining webpage may be filtered from the plurality of webpages into the at least one set of webpages using a supported vector machine (SVM) algorithm.

公开(公告)号：US20220027557A1

公开(公告)日：2022-01-27

申请号：US16934220

申请日：2020-07-21

Applicant: international Business Machines Corporation

Inventor： Chao-Min Chang ,  Kuei-Ching Lee ,  Ci-Hao Wu ,  Chia-Heng Lin

IPC: G06F40/242 ,  G06N20/00 ,  G06F40/58 ,  G06F40/295 ,  G06K9/62

Abstract: An approach for a fast and accurate word embedding model, “desc2vec,” for out-of-dictionary (OOD) words with a model learning from the dictionary descriptions of the word is disclosed. The approach includes determining that a target text element is not in a set of reference text elements, information describing the target text element is obtained. The information comprises a set of descriptive text elements. A set of vectorized representations for the set of descriptive text elements is determined. A target vectorized representation for the target text element is determined based on the set of vectorized representations using a machine learning model. The machine learning model is trained to represent a predetermined association between the set of vectorized representations for the set of descriptive text elements describing the target text element and the target vectorized representation.

公开(公告)号：US11017083B2

公开(公告)日：2021-05-25

申请号：US16162597

申请日：2018-10-17

Applicant: International Business Machines Corporation

Inventor： Ci-Hao Wu ,  Ying-Chen Yu ,  June-Ray Lin ,  Hsieh-Lung Yang ,  Chen-Yu Huang ,  Chia-Heng Lin ,  Kuei-Ching Lee

IPC: G06F21/56 ,  G06N3/04 ,  G06N3/08 ,  G06F16/901 ,  G06F40/289

Abstract: Provided are systems, methods, and media for multiphase graph partitioning for malware entity detection. An example method includes receiving an input string associated with the malware entity. A determination is made as to whether the input string includes a symbolic word, a non-symbolic word, a symbolic phrase, or a non-symbolic phrase. A branching graph is formed based on a combination of the input string and a plurality of stored strings that are each associated with the malware entity to determine whether the input string is a valid detection name of the malware entity, in which the branching graph is formed by at least performing a first graph partitioning stage and a second graph partitioning stage. The input string is then labeled based on the formed branching graph and then outputted to a malware detection engine.

公开(公告)号：US10762155B2

公开(公告)日：2020-09-01

申请号：US16167653

申请日：2018-10-23

Applicant: International Business Machines Corporation

Inventor： June-Ray Lin ,  Curtis CH Wei ,  Hsieh-Lung Yang ,  Ying-Chen Yu ,  Chia-Heng Lin ,  Ci-Hao Wu ,  Chen-Yu Huang ,  Kuei-Ching Lee

IPC: G06F16/00 ,  G06F16/9535 ,  G06K9/62 ,  G06F16/335 ,  G06F16/955

Abstract: A method, computer program product, and computing system device for receiving, on a computing device, a plurality of webpages. At least one webpage may be filtered from the plurality of webpages into at least one set of webpages using a decision tree algorithm. At least one remaining webpage may be filtered from the plurality of webpages into the at least one set of webpages using a supported vector machine (SVM) algorithm.