International Business Machines Corporation

Yang Y Yang

Xiao Ming Ma

Jing James Xu

Guo Tong Xie

Li Li Ma

Jun Song Wang

Si Er Han

Yue Pan

Chun Lei Xu

Chong Liu

Zhao Ming Qiu

Juan Wu

Long Fan

Ye Fan

Qi Mao

Using a set of menu to key process mappings, historical menu usage data for an application is aggregated into aggregated key process usage data. A set of key process association rules, each comprising a consequent key process given a particular antecedent key process, is generated. From the set of key process association rules and a set of ranked menus by frequency of usage within each key process, a set of model menu recommendations is generated. According to an application usage history, a menu frequency ratio, and a confidence value of a modelled next menu, the set of menu recommendations is scored. A scored menu recommendation having a rank below a threshold rank is pruned from a set of menu items of the application ranked according to their scores. The pruned set of scored menu recommendations is presented for selection instead of the set of menu items.

Behavior based menu item recommendation and pruning

Methods, computer program products, and/or systems are provided that perform the following operations: obtaining a series of indicator diagrams corresponding to strokes of a pumpjack over a specific time duration, dividing each indicator diagram into a plurality of location segments in a direction of location of the rod; obtaining load difference features between upstroke loads and corresponding downstroke loads in the plurality of location segments; identifying a location segment with an abnormal load difference feature based on a time series data of load difference feature corresponding to one of the plurality of location segments, the time series data of load difference feature including a series of data points of load difference feature of the one of the plurality of location segments in time order; and providing an indication of a potential problem based, at least in part, on the identification of the location segment with an abnormal load difference feature.

Identifying potential problems in a pumpjack

A data analyzing method, apparatus, and a method for supporting data analysis includes creating or storing a semantic entity repository, wherein the semantic entity repository includes a structured entity set of entities and properties thereof, reference ranges describing the possible values of the properties, and the mappings between the entities and properties and a data structure of a data warehouse. When aggregating data, the entities, properties, and/or property values to be analyzed are selected from the semantic entity repository, and how to calculate at least one measure is defined. The data corresponding to the selected entities, properties, and property values are loaded from the data warehouse according to the mappings, and the at least one measure as defined is calculated.

Data analyzing method, apparatus and a method for supporting data analysis

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BeiJing, China

Yang Y Yang