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21. 发明申请

US20120226639A1 Systems and Methods for Processing Machine Learning Algorithms in a MapReduce Environment 失效
标题翻译：在MapReduce环境中处理机器学习算法的系统和方法
公开(公告)号：US20120226639A1
公开(公告)日：2012-09-06
申请号：US13038086
申请日：2011-03-01
申请人： Douglas Ronald Burdick , Amol Ghoting , Rajasekar Krishnamurthy , Edwin Peter Dawson Pednault , Berthold Reinwald , Vikas Sindhwani , Shirish Tatikonda , Yuanyuan Tian , Shivakumar Vaithyanathan
发明人： Douglas Ronald Burdick , Amol Ghoting , Rajasekar Krishnamurthy , Edwin Peter Dawson Pednault , Berthold Reinwald , Vikas Sindhwani , Shirish Tatikonda , Yuanyuan Tian , Shivakumar Vaithyanathan
IPC分类号： G06F15/18
CPC分类号： G06F9/4843 , G06F8/427
摘要： Systems and methods for processing Machine Learning (ML) algorithms in a MapReduce environment are described. In one embodiment of a method, the method includes receiving a ML algorithm to be executed in the MapReduce environment. The method further includes parsing the ML algorithm into a plurality of statement blocks in a sequence, wherein each statement block comprises a plurality of basic operations (hops). The method also includes automatically determining an execution plan for each statement block, wherein at least one of the execution plans comprises one or more low-level operations (lops). The method further includes implementing the execution plans in the sequence of the plurality of the statement blocks.
摘要翻译：描述了MapReduce环境中处理机器学习（ML）算法的系统和方法。在一种方法的一个实施例中，该方法包括接收要在MapReduce环境中执行的ML算法。该方法还包括将ML算法解析为序列中的多个语句块，其中每个语句块包括多个基本操作（跳）。该方法还包括自动确定每个语句块的执行计划，其中至少一个执行计划包括一个或多个低级操作（lops）。该方法还包括以多个语句块的顺序来实现执行计划。

22. 发明授权

US07792856B2 Entity-based business intelligence 有权
标题翻译：基于实体的商业智能
公开(公告)号：US07792856B2
公开(公告)日：2010-09-07
申请号：US11771668
申请日：2007-06-29
申请人： Ariel Fuxman , Peter Jay Haas , Berthold Reinwald , Yannis Sismanis , Ling Wang
发明人： Ariel Fuxman , Peter Jay Haas , Berthold Reinwald , Yannis Sismanis , Ling Wang
IPC分类号： G06F17/30 , G06F7/00
CPC分类号： G06F17/30592 , G06F17/30489
摘要： A method is disclosed for conducting a query to transform data in a pre-existing database, the method comprising: collecting database information from the pre-existing database, the database information including inconsistent dimensional tables and fact tables; running an entity discovery process on the inconsistent dimensional tables and the fact tables to produce entity mapping tables; using the entity mapping tables to resolve the inconsistent dimensional tables into resolved dimensional tables; and running the query on a resolved database to obtain a query result, the resolved database including the resolved dimensional table.
摘要翻译：公开了一种用于进行在预先存在的数据库中转换数据的查询的方法，所述方法包括：从预先存在的数据库收集数据库信息，所述数据库信息包括不一致的维度表和事实表; 对不一致的维度表和事实表运行实体发现过程以生成实体映射表; 使用实体映射表将不一致的维度表解析为已解析的维度表; 并在解析的数据库上运行查询以获取查询结果，解析的数据库包括已解析的维度表。

23. 发明申请

US20090240682A1 GRAPH SEARCH SYSTEM AND METHOD FOR QUERYING LOOSELY INTEGRATED DATA 失效
标题翻译：图形搜索系统和方法用于查询LOOSELY集成数据
公开(公告)号：US20090240682A1
公开(公告)日：2009-09-24
申请号：US12053597
申请日：2008-03-22
申请人： Andrey Balmin , Heasoo Hwang , Mir Hamid Pirahesh , Berthold Reinwald
发明人： Andrey Balmin , Heasoo Hwang , Mir Hamid Pirahesh , Berthold Reinwald
IPC分类号： G06F7/06
CPC分类号： G06F17/30395 , G06F17/30554
摘要： A system, method and computer program product for executing a query on linked data sources. Embodiments of the invention generate an instance graph expressing relationships between objects in the linked data sources and receive a query including at least first and second search terms. The first search term is then executed on the instance graph and a summary graph is generated using the results of the executing step. A second search term is then executed on the summary graph.
摘要翻译：一种用于执行链接数据源查询的系统，方法和计算机程序产品。本发明的实施例生成表示链接的数据源中的对象之间的关系的实例图，并且接收包括至少第一和第二搜索项的查询。然后在实例图上执行第一个搜索项，并使用执行步骤的结果生成汇总图。然后在摘要图上执行第二个搜索项。

24. 发明申请

US20090216799A1 DISCOVERING TOPICAL STRUCTURES OF DATABASES 有权
标题翻译：发现数据库的主题结构
公开(公告)号：US20090216799A1
公开(公告)日：2009-08-27
申请号：US12034964
申请日：2008-02-21
申请人： Rajesh P. Manjrekar , Berthold Reinwald , John Sismanis , Wensheng Wu
发明人： Rajesh P. Manjrekar , Berthold Reinwald , John Sismanis , Wensheng Wu
IPC分类号： G06F17/30
CPC分类号： G06F17/30572 , G06F17/30306
摘要： A system and method for automatically discovering topical structures of databases includes a model builder adapted to compute various kinds of representations for the database based on schema information and data values of the database. A plurality of base clusterers is also provided, one for each representation. Each base clusterer is adapted to perform, for the representation, preliminary topical clustering of tables within the database to produce a plurality of clusters, such that each of the clusters corresponds to a set of tables on the same topic. A meta-clusterer aggregates results of the clusterers into a final clustering, such that the final clustering comprises a plurality of the clusters. A representative finder identifies representative tables from the clusters in the final clustering. The representative finder identifies at least one representative table for each of the clusters in the final clustering. The representative finder also arranges the representative tables by topic as a topical directory and outputs the topical directory.
摘要翻译：用于自动发现数据库的主题结构的系统和方法包括：模型构建器，其适于基于数据库的模式信息和数据值来计算数据库的各种表示。还提供了多个基本聚类器，每个表示一个。每个基本聚类器适于为表示执行数据库内的表的初步主题聚类以产生多个聚类，使得每个聚类对应于同一主题上的一组表。元聚类器将聚类器的结果聚合成最终聚类，使得最终聚类包括多个聚类。代表性查找器从最终聚类中的聚类中识别代表性表。代表查找器识别最终聚类中每个聚类的至少一个代表表。代表查找器还将主题的代表表排列为主题目录，并输出主题目录。

25. 发明申请

US20090006349A1 ENTITY-BASED BUSINESS INTELLIGENCE 有权
标题翻译：基于实体的业务智能
公开(公告)号：US20090006349A1
公开(公告)日：2009-01-01
申请号：US12133552
申请日：2008-06-05
申请人： Ariel Fuxman , Peter Jay Haas , Berthold Reinwald , Yannis Sismanis , Ling Wang
发明人： Ariel Fuxman , Peter Jay Haas , Berthold Reinwald , Yannis Sismanis , Ling Wang
IPC分类号： G06F7/06 , G06F17/30
CPC分类号： G06F17/30592 , G06F17/30489
摘要： A method is disclosed for conducting a query to transform data in a pre-existing database, the method comprising: collecting database information from the pre-existing database, the database information including inconsistent dimensional tables and fact tables; running an entity discovery process on the inconsistent dimensional tables and the fact tables to produce entity mapping tables; using the entity mapping tables to resolve the inconsistent dimensional tables into resolved dimensional tables; and running the query on a resolved database to obtain a query result, the resolved database including the resolved dimensional table.
摘要翻译：公开了一种用于进行在预先存在的数据库中转换数据的查询的方法，所述方法包括：从预先存在的数据库收集数据库信息，所述数据库信息包括不一致的维度表和事实表; 对不一致的维度表和事实表运行实体发现过程以生成实体映射表; 使用实体映射表将不一致的维度表解析为已解析的维度表; 并在解析的数据库上运行查询以获取查询结果，解析的数据库包括已解析的维度表。

26. 发明授权

US07395258B2 System and method for adaptive database caching 有权
标题翻译：自适应数据库缓存的系统和方法
公开(公告)号：US07395258B2
公开(公告)日：2008-07-01
申请号：US10902583
申请日：2004-07-30
申请人： Mehmet Altinel , Christof Bornhoevd , Chandrasekaran Mohan , Mir Hamid Pirahesh , Berthold Reinwald , Saileshwar Krishnamurthy
发明人： Mehmet Altinel , Christof Bornhoevd , Chandrasekaran Mohan , Mir Hamid Pirahesh , Berthold Reinwald , Saileshwar Krishnamurthy
IPC分类号： G06F17/30
CPC分类号： G06F17/3048 , Y10S707/99933
摘要： A local database cache enabling persistent, adaptive caching of either full or partial content of a remote database is provided. Content of tables comprising a local cache database is defined on per-table basis. A table is either: defined declaratively and populated in advance of query execution, or is determined dynamically and asynchronously populated on-demand during query execution. Based on a user input query originally issued against a remote DBMS and referential cache constraints between tables in a local database cache, a Janus query plan, comprising local, remote, and probe query portions is determined. A probe query portion of a Janus query plan is executed to determine whether up-to-date results can be delivered by the execution of a local query portion against a local database cache, or whether it is necessary to retrieve results from a remote database by executing a remote query portion of Janus query plan.
摘要翻译：提供本地数据库缓存，实现远程数据库的完整或部分内容的持久自适应缓存。包含本地缓存数据库的表的内容基于每个表进行定义。表是：在查询执行之前以声明方式和填充方式定义，或者在查询执行期间按需动态和异步地填充表。基于最初针对远程DBMS发出的用户输入查询和本地数据库高速缓存中的表之间的参考高速缓存约束，确定包括本地，远程和探测查询部分的Janus查询计划。执行Janus查询计划的探查查询部分以确定是否可以通过对本地数据库高速缓存执行本地查询部分来传递最新结果，或者是否需要通过以下方式从远程数据库检索结果：执行Janus查询计划的远程查询部分。

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