International Business Machines Corporation

Emc Corporation

Hon Hai Precision Industry Co., Ltd.

Tsinghua University

China Petroleum & Chemical Corporation

Beijing Research Institute of Chemical Industry, China Petroleum & Chemical Corporation

Yi Yang Ren

Caleb E Welton

Guangxin Yang

Jianwang Ao

Liang Lu

Jian Ling Shi

Sun Chun Hua

Chun Leng

Yue Wang

Shou-Shan Fan

Kai-Li Jiang

Wei Wang

Qun-Qing Li

Wei Zhang

Li-Na Zhang

Nan Chen

Ling Han

Guixiang Zhu

Ying Shi

Chun H Sun

Cui Zheng

Lizhi Liu

Xu Bin Cai

Pin Lv

Yao-Jun Zhang

Xuerong Yao

Minqiao Ren

A computer-implemented method may include generating a rule operator comprising a rule table; generating a rule operator group comprising rule operators containing similar rule tables; communicating the rule operator group to a shared compute node; retrieving table data associated with the rule table of a first rule operator within the rule operator group; reusing the table data associated with the first rule operator in a first runtime of additional rule operators corresponding to the rule operator group; determining at least one checker metric associated with a second runtime of a data rule; determining a workload state for the shared compute node based on the at least one checker metric; determining time taken and resource usage for a data rule during the second runtime; and balancing a workload of each compute node based on the workload state, time taken, and resource usage for the data rule during the second runtime.

Data rule workload distribution

Methods, systems, computer program products for determining the source of activity during interaction with a user interface are provided. The method comprises selecting one or more input devices from a plurality of available input devices coupled to the user interface and receiving respective measurements for the selected one or more input devices. Based on the received respective measurements, respective feature vectors for the one or more input devices are generated and then inputted to a pre-defined regression model. Then, the source of activity is determined based on a result received from the regression model.

Determining source of interface interactions

Provided is a method, computer program product, and system for classifying a set of data items based on format organizations. A processor may determine at least one format organization of a set of data items. The format organization of a data item indicates a symbol type of at least one continuous symbol in the data item and a number of the at least one continuous symbol. The processor may determine at least one candidate data class for the set of data items from a plurality of predetermined data classes based on the at least one format organization. The processor may classify the set of data items into at least one target data class selected from the at least one candidate data class. In this way, the set of data items can be efficiently classified.

Data classification

A computer-implemented method includes: reading a vector of a first table in a database, the vector including counts of a plurality of keywords in the first table, the plurality of keywords including a first keyword and a second keyword; determining a first custom attribute describing the first table, the first custom attribute having a vector including counts of at least a first portion of the plurality of keywords in the first table; determining a multiplier of the first custom attribute, the multiplier being a number of other tables that reference the first custom attribute; and revising the vector of the first table based on the first custom attribute.

Data governance with custom attribute based asset association

A polyester composition includes a first polyester selected from one or more of aliphatic-aromatic copolyesters, which is a copolymer comprising repeating units A as shown in formula (I) and repeating units B as shown in formula (II), in which m is an integer of 2 to 10 and n is an integer of 2 to 8; p is an integer of 2 to 10; and m, n and p are the same or different from each other. Optionally, the polyester composition has a second polyester. The polyester composition includes at least two polyesters. The polyester composition can be used in shape memory materials, 3D print wires, heat shrinkable sleeves, functional layers, medical limb immobilization braces, heat shrinkable thin films, nonwoven fabrics, elastic fibers, etc. 

Polyester composition, preparation method therefor and application thereof

Managing multiple chain transaction rollback on a native cloud environment in a Kubernetes distributed system which extends API capabilities to build compensate API mappings which are used to reverse the invocation chain and stores the mappings in a key value store. An embodiment of the present invention extracts the reverse invocation chain from a framework of libraries and mapping API to check whether rollback is necessary when a service fails. An embodiment of the present invention executes an entire whole rollback.

Rollback for dependency services in cloud native environment

A method for making a nano-scale film includes the steps of: (a) providing a suspension including an organic solvent and a number of nano-scale particles dispersed therein; (b) dropping/releasing the suspension into a liquid having a specific gravity greater than that of the nano-scale particles; and (c) forming a uniform film of nano-scale particles on the surface of the liquid.

Method for making nano-scale film

A method, article of manufacture, and apparatus for process data. In some embodiments, this includes receiving a desired sample size from a user, increasing the desired sample size based on a policy, using the increased desired sample size to determine a number of samples to take from a database segment, wherein the database segment includes a portion of a dataset, generating a sub-dataset based on the determined number of samples to take from the database segment, wherein the sub-dataset only includes identifiers, joining the generated sub-dataset with the dataset, and storing the joined dataset in a storage device.

Policy based over sampling with replacement

A method, system, and process for representing a decision tree in a tabular format is discussed. The format may contain all the necessary information to traverse the nodes in parallel on a distributed system while consuming an efficient amount of resources. In some embodiments, the tree may be stored in a relational database as a table.

Decision tree representation for big data

A method, article of manufacture, and apparatus for process data. In some embodiments, this includes determining a dataset, wherein the dataset includes a plurality of data values and a plurality of identifiers, and wherein the plurality of identifiers are in a non-continuous order, and wherein the dataset is stored across a number of segments, determining a number of samples to take from the dataset, identifying a minimum identifier and a maximum identifier, and a total number of identifiers, calculating a density based on the plurality of identifiers, minimum identifier and maximum identifier, calculating a number of samples to take from a segment based on the calculated density, the number of samples to take from the dataset, and the number of segments, generating a sub-dataset based on the calculated number of samples to take from a segment, joining the generated sub-dataset with the dataset, and storing the joined dataset in a storage device.

Efficient sampling with replacement

A method, system, and process for generating attribute class statistics for a decision tree is discussed. In an embodiment the ACS's are calculated in parallel on a distributed architecture, and may consume a constant amount of resources.

Generating attribute-class-statistics for decision trees

A method, system, and process for classifying a dataset using a decision tree is discussed. The decision tree may be stored in a novel format on a distributed architecture, and the dataset classification may be performed in parallel on the distributed architecture.

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Beijing, China

Yi Yang Ren