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1. 发明申请

US20140067874A1 PERFORMING PREDICTIVE ANALYSIS 审中-公开
标题翻译：执行预测分析
公开(公告)号：US20140067874A1
公开(公告)日：2014-03-06
申请号：US13600265
申请日：2012-08-31
申请人： Arindam Bhattacharjee , Abhishek Nagendra , Girish Kalasa Ganesh Pai , Unmesh Sreedharan
发明人： Arindam Bhattacharjee , Abhishek Nagendra , Girish Kalasa Ganesh Pai , Unmesh Sreedharan
IPC分类号： G06F17/30
CPC分类号： G06F16/21
摘要： Various embodiments of systems and methods for performing predictive analysis are described herein. In one aspect, the method includes receiving a command for publishing a chain comprising a plurality of components connected together to perform predictive analysis. Based upon the command, a plurality of procedures corresponding to the plurality of components of the chain is generated. The generated procedures are integrated according to an order of connectivity of the components within the chain. A database object including the integrated procedures is generated. The database object is stored within a database. The stored database object is executable for performing predictive analysis.
摘要翻译：本文描述了用于执行预测分析的系统和方法的各种实施例。一方面，该方法包括接收用于发布包括连接在一起的多个组件的链以执行预测分析的命令。基于该命令，生成与链的多个成分对应的多个处理。生成的过程根据链中组件的连接顺序进行集成。生成包含集成过程的数据库对象。数据库对象存储在数据库中。存储的数据库对象可执行以执行预测分析。

2. 发明申请

US20140067457A1 WORKFLOW EXECUTION FRAMEWORK 审中-公开
标题翻译：工作流程执行框架
公开(公告)号：US20140067457A1
公开(公告)日：2014-03-06
申请号：US13596355
申请日：2012-08-28
申请人： ABHISHEK NAGENDRA , Arindam Bhattacharjee , Girish Kalasa Ganesh Pai
发明人： ABHISHEK NAGENDRA , Arindam Bhattacharjee , Girish Kalasa Ganesh Pai
IPC分类号： G06Q10/06
CPC分类号： G06Q10/0633 , G06Q10/06
摘要： A workflow execution framework is generated to execute a received workflow. The workflow is semantically analyzed to determine workflow chain and associated workflow components. To execute the workflow chain, a terminal component in the workflow chain and a corresponding sequential hierarchy of the workflow components are detected. A result descriptor of a data source component corresponding to the terminal component is computed and stored in an execution state table. Result descriptors are computed for the workflow components succeeding the data source component in the sequential hierarchy and are stored in the execution state table. Upon detecting a dataflow between the data source component and one of the succeeding workflow components, data along each row of the execution state table is extracted to process the one of the succeeding workflow components. The workflow is executed by processing the workflow components associated with the workflow chain, thereby executing the workflow chain.
摘要翻译：生成工作流执行框架来执行接收到的工作流。语义分析工作流以确定工作流链和相关的工作流组件。为了执行工作流链，检测工作流链中的终端组件和工作流组件的对应顺序层次。计算与终端组件对应的数据源组件的结果描述符，并将其存储在执行状态表中。针对顺序层次结构中数据源组件的后续工作流组件计算结果描述符，并存储在执行状态表中。在检测到数据源组件和后续工作流组件之一之间的数据流时，提取执行状态表的每行的数据以处理后续工作流组件中的一个。通过处理与工作流链相关联的工作流组件来执行工作流，从而执行工作流链。

3. 发明申请

US20140229491A1 CONVERTING DATA MODELS INTO IN-DATABASE ANALYSIS MODELS 有权
标题翻译：将数据模型转换为数据库分析模型
公开(公告)号：US20140229491A1
公开(公告)日：2014-08-14
申请号：US13762546
申请日：2013-02-08
申请人： Arindam Bhattacharjee , Srinivasa Raghu Garimella , Ajay Kumar Gupta , Unmesh Sreedharan , Girish Kalasa Ganesh Pai
发明人： Arindam Bhattacharjee , Srinivasa Raghu Garimella , Ajay Kumar Gupta , Unmesh Sreedharan , Girish Kalasa Ganesh Pai
IPC分类号： G06F17/30
CPC分类号： G06F17/30569
摘要： Data sets are analyzed to discover trends and determine predictive data models. A data model is determined based on analyzing the data set with a specific algorithm from a set of different analytical algorithms. The data model is stored in a structural file format. The data model is converted into an instantiated object model with the use of a predefined object model. The instantiated object model is converted into an in-database analysis model to score new data within a database system. The scoring is based on the logic in the data model. The in-database analysis model is stored on a database server part of a database system to provide analytical functionality defined in the data model. The new data can be scored with the in-database analysis model. The new data is not extracted from the database system and the scoring is accomplished in-memory.
摘要翻译：分析数据集以发现趋势并确定预测数据模型。基于通过一组不同分析算法利用特定算法分析数据集来确定数据模型。数据模型以结构文件格式存储。使用预定义的对象模型将数据模型转换为实例化对象模型。实例化的对象模型被转换成数据库内分析模型，以对数据库系统中的新数据进行评分。得分是基于数据模型中的逻辑。数据库内分析模型存储在数据库系统的数据库服务器部分，以提供数据模型中定义的分析功能。可以使用数据库内分析模型对新数据进行评分。新数据不是从数据库系统中提取出来的，而是在内存中完成评分。

4. 发明申请

US20130218893A1 EXECUTING IN-DATABASE DATA MINING PROCESSES 审中-公开
标题翻译：执行数据库数据挖掘过程
公开(公告)号：US20130218893A1
公开(公告)日：2013-08-22
申请号：US13398844
申请日：2012-02-17
申请人： GIRISH KALASA GANESH PAI , Arindam Bhattacharjee
发明人： GIRISH KALASA GANESH PAI , Arindam Bhattacharjee
IPC分类号： G06F17/30
CPC分类号： G06F16/2465
摘要： Various embodiments of systems and methods for executing in-database data mining processes are described herein. In one aspect, the method includes identifying a newly created chain comprising a plurality of components connected together to perform a data mining task, generating an identifier (ID) for the newly created chain, identifying metadata associated with the chain, and storing the ID and the metadata related to the newly created chain into a repository. Each component comprises a parameterized script including one or more parameters. Values of the parameters are stored in the repository. The parameters within the scripts are replaced by their corresponding values and the components of the chain are executed sequentially to generate a final output.
摘要翻译：本文描述了用于执行数据库内数据挖掘过程的系统和方法的各种实施例。一方面，该方法包括识别新创建的链，其包括连接在一起的多个组件以执行数据挖掘任务，生成用于新创建的链的标识符（ID），识别与链相关联的元数据，以及存储该ID和与新创建的链相关的元数据到资源库中。每个组件包括包括一个或多个参数的参数化脚本。参数的值存储在存储库中。脚本中的参数由其对应的值替换，并且链的组件被顺序执行以生成最终输出。

5. 发明授权

US09552403B2 Converting data models into in-database analysis models 有权
标题翻译：将数据模型转换为数据库内分析模型
公开(公告)号：US09552403B2
公开(公告)日：2017-01-24
申请号：US13762546
申请日：2013-02-08
申请人： Arindam Bhattacharjee , Srinivasa Raghu Garimella , Ajay Kumar Gupta , Unmesh Sreedharan , Girish Kalasa Ganesh Pai
发明人： Arindam Bhattacharjee , Srinivasa Raghu Garimella , Ajay Kumar Gupta , Unmesh Sreedharan , Girish Kalasa Ganesh Pai
IPC分类号： G06F7/00 , G06F17/30
CPC分类号： G06F17/30569
摘要： Data sets are analyzed to discover trends and determine predictive data models. A data model is determined based on analyzing the data set with a specific algorithm from a set of different analytical algorithms. The data model is stored in a structural file format. The data model is converted into an instantiated object model with the use of a predefined object model. The instantiated object model is converted into an in-database analysis model to score new data within a database system. The scoring is based on the logic in the data model. The in-database analysis model is stored on a database server part of a database system to provide analytical functionality defined in the data model. The new data can be scored with the in-database analysis model. The new data is not extracted from the database system and the scoring is accomplished in-memory.
摘要翻译：分析数据集以发现趋势并确定预测数据模型。基于通过一组不同分析算法利用特定算法分析数据集来确定数据模型。数据模型以结构文件格式存储。使用预定义的对象模型将数据模型转换为实例化对象模型。实例化的对象模型被转换成数据库内分析模型，以对数据库系统中的新数据进行评分。得分是基于数据模型中的逻辑。数据库内分析模型存储在数据库系统的数据库服务器部分，以提供数据模型中定义的分析功能。可以使用数据库内分析模型对新数据进行评分。新数据不是从数据库系统中提取出来的，而是在内存中完成评分。

6. 发明申请

US20130166573A1 Managing Business Objects Data Sources 有权
标题翻译：管理业务对象数据源
公开(公告)号：US20130166573A1
公开(公告)日：2013-06-27
申请号：US13337990
申请日：2011-12-27
申请人： Ganesh Vaitheeswaran , Manasa Ranjan Tripathy , Raghavendra Nagaraja , Arindam Bhattacharjee , Rahul Kumar Jha , Nithin Moolky Kamath
发明人： Ganesh Vaitheeswaran , Manasa Ranjan Tripathy , Raghavendra Nagaraja , Arindam Bhattacharjee , Rahul Kumar Jha , Nithin Moolky Kamath
IPC分类号： G06F17/30
CPC分类号： G06F17/30389
摘要： Methods, computer-readable media, and systems for managing business objects data sources. A search query that includes multiple query terms is received. Each query term at least partially represents metadata associated with one of multiple business objects data sources that each stores multiple data items. Multiple search index documents are searched to identify one or more business objects data sources that are each associated with metadata at least partially represented by each query term. Multiple metadata tables are searched to identify metadata associated with each identified business objects data source. The identified business objects data sources are searched for data items that satisfy the identified metadata. Representations of the data items and the metadata are provided in response to receiving the search query.
摘要翻译：方法，计算机可读介质和用于管理业务对象数据源的系统。收到包含多个查询条件的搜索查询。每个查询项至少部分地表示与每个存储多个数据项的多个业务对象数据源中的一个相关联的元数据。搜索多个搜索索引文档以识别每个与每个查询项至少部分表示的元数据相关联的一个或多个业务对象数据源。搜索多个元数据表以识别与每个已标识的业务对象数据源相关联的元数据。搜索所识别的业务对象数据源以获得满足所识别的元数据的数据项。响应于接收到搜索查询而提供数据项和元数据的表示。

7. 发明授权

US09092478B2 Managing business objects data sources 有权
标题翻译：管理业务对象数据源
公开(公告)号：US09092478B2
公开(公告)日：2015-07-28
申请号：US13337990
申请日：2011-12-27
申请人： Ganesh Vaitheeswaran , Manasa Ranjan Tripathy , Raghavendra Nagaraja , Arindam Bhattacharjee , Rahul Kumar Jha , Nithin Moolky Kamath
发明人： Ganesh Vaitheeswaran , Manasa Ranjan Tripathy , Raghavendra Nagaraja , Arindam Bhattacharjee , Rahul Kumar Jha , Nithin Moolky Kamath
IPC分类号： G06F17/30
CPC分类号： G06F17/30389
摘要： Methods, computer-readable media, and systems for managing business objects data sources. A search query that includes multiple query terms is received. Each query term at least partially represents metadata associated with one of multiple business objects data sources that each stores multiple data items. Multiple search index documents are searched to identify one or more business objects data sources that are each associated with metadata at least partially represented by each query term. Multiple metadata tables are searched to identify metadata associated with each identified business objects data source. The identified business objects data sources are searched for data items that satisfy the identified metadata. Representations of the data items and the metadata are provided in response to receiving the search query.
摘要翻译：方法，计算机可读介质和用于管理业务对象数据源的系统。收到包含多个查询条件的搜索查询。每个查询项至少部分地表示与每个存储多个数据项的多个业务对象数据源中的一个相关联的元数据。搜索多个搜索索引文档以识别每个与每个查询项至少部分表示的元数据相关联的一个或多个业务对象数据源。搜索多个元数据表以识别与每个已标识的业务对象数据源相关联的元数据。搜索所识别的业务对象数据源以获得满足所识别的元数据的数据项。响应于接收到搜索查询而提供数据项和元数据的表示。

8. 发明授权

US08938475B2 Managing business objects data sources 有权
标题翻译：管理业务对象数据源
公开(公告)号：US08938475B2
公开(公告)日：2015-01-20
申请号：US13338027
申请日：2011-12-27
申请人： Ganesh Vaitheeswaran , Arindam Bhattacharjee , Raghavendra Nagaraja , Manasa Ranjan Tripathy , Nithin Moolky Kamath , Rahul Kumar Jha
发明人： Ganesh Vaitheeswaran , Arindam Bhattacharjee , Raghavendra Nagaraja , Manasa Ranjan Tripathy , Nithin Moolky Kamath , Rahul Kumar Jha
IPC分类号： G06F17/30
CPC分类号： G06F17/30566
摘要： Methods, non-transitory computer-readable media, and systems for managing business objects data sources. Multiple business objects data sources, each storing multiple data items, are accessed. For each data source, multiple computer-searchable index documents and multiple metadata tables, including master tables and mapping tables, are generated. The multiple computer-searchable index documents and the multiple metadata tables are provided to perform a search for data items in the multiple business objects data sources.
摘要翻译：方法，非暂时性计算机可读介质和用于管理业务对象数据源的系统。访问多个业务对象数据源，每个存储多个数据项。对于每个数据源，生成多个计算机可搜索的索引文档和多个元数据表，包括主表和映射表。提供多个计算机可搜索索引文档和多个元数据表以执行对多个业务对象数据源中的数据项的搜索。

9. 发明申请

US20140304263A1 IN-DATABASE PROVISIONING OF DATA 审中-公开
标题翻译：数据库的数据库提供
公开(公告)号：US20140304263A1
公开(公告)日：2014-10-09
申请号：US13856441
申请日：2013-04-04
申请人： Ganesh Vaitheeswaran , Rahul Kumar Jha , Suraj Pai Airody , Anup Kumar Rai , Arindam Bhattacharjee
发明人： Ganesh Vaitheeswaran , Rahul Kumar Jha , Suraj Pai Airody , Anup Kumar Rai , Arindam Bhattacharjee
IPC分类号： G06F17/30
CPC分类号： G06F17/30598
摘要： A user uploads date sets through a client to a database. The data sets are provisioned in the database for in-database searching. The data sets are evaluated and classifications for the columns of the tables that include the data set are detected. Columns content may be classified into different analysis types, aggregation types, formats, categories, hierarchies, etc. Metadata is generated based on the evaluation of the data sets. A schema is used to store the metadata that describes the detected classification of the columns. The schema is stored in the database and is used when a search in the database is performed.
摘要翻译：用户通过客户端将数据集上传到数据库。数据集在数据库中配置用于数据库内搜索。评估数据集，并检测包含数据集的表的列的分类。列内容可以分为不同的分析类型，聚合类型，格式，类别，层次等。元数据是基于数据集的评估而生成的。模式用于存储描述检测到的列分类的元数据。模式存储在数据库中，并在执行数据库中的搜索时使用。

10. 发明申请

US20110153589A1 DOCUMENT INDEXING BASED ON CATEGORIZATION AND PRIORITIZATION 有权
标题翻译：基于分类和优先排序的文献索引
公开(公告)号：US20110153589A1
公开(公告)日：2011-06-23
申请号：US12642893
申请日：2009-12-21
申请人： GANESH VAITHEESWARAN , Arindam Bhattacharjee , Ravichandran Mahadevan , Suresh Pasumarthi
发明人： GANESH VAITHEESWARAN , Arindam Bhattacharjee , Ravichandran Mahadevan , Suresh Pasumarthi
IPC分类号： G06F17/30 , G06F9/46
CPC分类号： G06F17/30705 , G06F9/5083
摘要： Disclosed are methods and systems for improving indexing throughput. The methods and systems involve receiving one or more documents for indexing, categorizing the one or more documents based on a document type, a document size and a processing priority, assigning buckets to the categorized one or more documents according to the document type, the document size and the processing priority and scheduling the buckets for processing based on a document type priority, a bucket type and number of threads available to process the buckets.
摘要翻译：公开了用于提高分选产量的方法和系统。方法和系统包括接收一个或多个文件进行索引，根据文档类型，文档大小和处理优先级对一个或多个文档进行分类，根据文档类型将文档类型分配给分类的一个或多个文档，文档大小和处理优先级，并且基于文档类型优先级，桶类型和可用于处理桶的线程数来调度用于处理的桶。

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