会员体验
专利管家(专利管理)
工作空间(专利管理)
风险监控(情报监控)
数据分析(专利分析)
侵权分析(诉讼无效)
联系我们
交流群
官方交流:
QQ群: 891211   
微信请扫码    >>>
现在联系顾问~
热词
    • 1. 发明授权
    • System and method for building decision tree classifiers using bitmap techniques
    • 使用位图技术构建决策树分类器的系统和方法
    • US07571159B2
    • 2009-08-04
    • US11344193
    • 2006-02-01
    • Shiby ThomasWei LiJoseph YarmusMahesh JagannathAri W. Mozes
    • Shiby ThomasWei LiJoseph YarmusMahesh JagannathAri W. Mozes
    • G06F7/00G06F17/30G06F17/00
    • G06F17/30545Y10S707/99933Y10S707/99945
    • A method, system, and computer program product for counting predictor-target pairs for a decision tree model provides the capability to generate count tables that is quicker and more efficient than previous techniques. A method of counting predictor-target pairs for a decision tree model, the decision tree model based on data stored in a database, the data comprising a plurality of rows of data, at least one predictor and at least one target, comprises generating a bitmap for each split node of data stored in a database system by intersecting a parent node bitmap and a bitmap of a predictor that satisfies a condition of the node, intersecting each split node bitmap with each predictor bitmap and with each target bitmap to form intersected bitmaps, and counting bits of each intersected bitmap to generate a count of predictor-target pairs.
    • 用于计算决策树模型的预测器 - 目标对的方法,系统和计算机程序产品提供了生成比先前技术更快更有效的计数表的能力。 一种对决策树模型计算预测器 - 目标对的方法,基于存储在数据库中的数据的决策树模型,包括多行数据的数据,至少一个预测器和至少一个目标,包括生成位图 通过将父节点位图和满足该节点的条件的预测器的位图相交到数据库系统中存储的数据的每个分割节点,将每个分割节点位图与每个预测器位图相交,并与每个目标位图形成相交的位图, 并计数每个相交位图的位以产生预测器 - 目标对的计数。
    • 5. 发明申请
    • System and method for building decision tree classifiers using bitmap techniques
    • 使用位图技术构建决策树分类器的系统和方法
    • US20070192341A1
    • 2007-08-16
    • US11344193
    • 2006-02-01
    • Shiby ThomasWei LiJoseph YarmusMahesh JagannathAri Mozes
    • Shiby ThomasWei LiJoseph YarmusMahesh JagannathAri Mozes
    • G06F7/00
    • G06F17/30545Y10S707/99933Y10S707/99945
    • A method, system, and computer program product for counting predictor-target pairs for a decision tree model provides the capability to generate count tables that is quicker and more efficient than previous techniques. A method of counting predictor-target pairs for a decision tree model, the decision tree model based on data stored in a database, the data comprising a plurality of rows of data, at least one predictor and at least one target, comprises generating a bitmap for each split node of data stored in a database system by intersecting a parent node bitmap and a bitmap of a predictor that satisfies a condition of the node, intersecting each split node bitmap with each predictor bitmap and with each target bitmap to form intersected bitmaps, and counting bits of each intersected bitmap to generate a count of predictor-target pairs.
    • 用于计算决策树模型的预测器 - 目标对的方法,系统和计算机程序产品提供了生成比先前技术更快更有效的计数表的能力。 一种对决策树模型计算预测器 - 目标对的方法,基于存储在数据库中的数据的决策树模型,包括多行数据的数据,至少一个预测器和至少一个目标,包括生成位图 通过将父节点位图和满足该节点的条件的预测器的位图相交到数据库系统中存储的数据的每个分割节点,将每个分割节点位图与每个预测器位图相交,并与每个目标位图形成相交的位图, 并计数每个相交位图的位以产生预测器 - 目标对的计数。
    • 6. 发明授权
    • Frequent itemset counting using subsets of bitmaps
    • 频繁的项集计数使用位图子集
    • US07756853B2
    • 2010-07-13
    • US10927893
    • 2004-08-27
    • Wei LiAri W. MozesHakan Jakobsson
    • Wei LiAri W. MozesHakan Jakobsson
    • G06F7/00
    • G06F17/30539
    • A method and mechanism for performing improved frequent itemset operations is provided. A set of item groups are divided into a plurality of subsets. Each item group is composed of a set of data items. Possible combinations of data items that may frequently appear together in the same item group are referred to as candidate combinations. Candidate combinations comprising a first set of data items are identified, and thereafter the occurrence of each candidate combination in any item group in each subset is counted by comparing item bitmaps, associated with items in the candidate combination, in each subset in turn. The comparison of item bitmaps is performed in volatile memory. A total frequent itemset count that describes the frequency of candidate combinations in items groups across all subsets is obtained. Thereafter, the total frequent itemset count for candidate combinations having a larger number of data items may be determined.
    • 提供了一种用于执行改进的频繁项目集操作的方法和机制。 一组项目组被分成多个子集。 每个项目组由一组数据项组成。 可能经常出现在同一项目组中的数据项的可能组合被称为候选组合。 识别包括第一组数据项的候选组合,然后通过在每个子集中依次比较与候选组合中的项目相关联的项目位图来对每个子集中的任何项目组中的每个候选组合的出现进行计数。 项目位图的比较在易失性存储器中执行。 获得描述所有子集中的项目组中候选组合的频率的总频繁项集计数。 此后,可以确定具有较大数量数据项的候选组合的总频繁项目集计数。
    • 7. 发明授权
    • Dynamic selection of frequent itemset counting technique
    • 频繁项集计数技术的动态选择
    • US07720790B2
    • 2010-05-18
    • US10643563
    • 2003-08-18
    • Wei LiJiansheng HuangAri MozesShiby ThomasMark Douglas Callaghan
    • Wei LiJiansheng HuangAri MozesShiby ThomasMark Douglas Callaghan
    • G06F17/30G06F7/00
    • G06F17/30595G06F17/30489G06F2216/03
    • Techniques are provided for (1) extending SQL to support direct invocation of frequent itemset operations, (2) improving the performance of frequent itemset operations by clustering itemset combinations to more efficiently use previously produced results, and (3) making on-the-fly selection of the occurrence counting technique to use during each phase of a multiple phase frequent itemset operation. When directly invoked in an SQL statement, a frequent itemset operation may receive input from results of operations specified in the SQL statement, and provide its results directly to other operations specified in the SQL statement. By clustering itemset combinations, resources may be used more efficiently by retaining intermediate information as long as it is useful, and then discarding it to free up volatile memory. Dynamically selecting an occurrence counting technique allows a single frequent itemset operation to change the occurrence counting technique that it is using midstream, based on cost considerations and/or environmental conditions.
    • 提供技术用于(1)扩展SQL以支持频繁项目集操作的直接调用,(2)通过聚类项目组合来提高频繁项目集操作的性能,以更有效地使用先前生成的结果,以及(3) 选择在多相频繁项目集操作的每个阶段期间使用的发生计数技术。 当在SQL语句中直接调用时,频繁的项目集操作可以从SQL语句中指定的操作结果接收输入,并将其结果直接提供给SQL语句中指定的其他操作。 通过对项目集合进行聚类,可以通过保留中间信息来更有效地使用资源,只要它是有用的,然后丢弃它来释放易失性存储器。 动态选择发生计数技术允许单个频繁项目集操作基于成本考虑和/或环境条件来改变它正在中游使用的发生计数技术。
    • 8. 发明申请
    • Dynamic selection of frequent itemset counting technique
    • 频繁项集计数技术的动态选择
    • US20050044087A1
    • 2005-02-24
    • US10643563
    • 2003-08-18
    • Wei LiJiansheng HuangAri MozesShiby ThomasMark Callaghan
    • Wei LiJiansheng HuangAri MozesShiby ThomasMark Callaghan
    • G06F7/00G06F17/30
    • G06F17/30595G06F17/30489G06F2216/03
    • Techniques are provided for (1) extending SQL to support direct invocation of frequent itemset operations, (2) improving the performance of frequent itemset operations by clustering itemset combinations to more efficiently use previously produced results, and (3) making on-the-fly selection of the occurrence counting technique to use during each phase of a multiple phase frequent itemset operation. When directly invoked in an SQL statement, a frequent itemset operation may receive input from results of operations specified in the SQL statement, and provide its results directly to other operations specified in the SQL statement. By clustering itemset combinations, resources may be used more efficiently by retaining intermediate information as long as it is useful, and then discarding it to free up volatile memory. Dynamically selecting an occurrence counting technique allows a single frequent itemset operation to change the occurrence counting technique that it is using midstream, based on cost considerations and/or environmental conditions.
    • 提供技术用于(1)扩展SQL以支持频繁项目集操作的直接调用,(2)通过聚类项目组合来提高频繁项目集操作的性能,以更有效地使用先前生成的结果,以及(3) 选择在多相频繁项目集操作的每个阶段期间使用的发生计数技术。 当在SQL语句中直接调用时,频繁的项目集操作可以从SQL语句中指定的操作结果接收输入,并将其结果直接提供给SQL语句中指定的其他操作。 通过对项目集合进行聚类,可以通过保留中间信息来更有效地使用资源,只要它是有用的,然后丢弃它来释放易失性存储器。 动态选择发生计数技术允许单个频繁项目集操作基于成本考虑和/或环境条件来改变它正在中游使用的发生计数技术。