SYSTEMS AND METHODS FOR BEHAVIORAL PATTERN MINING
    1.
    发明申请
    SYSTEMS AND METHODS FOR BEHAVIORAL PATTERN MINING 有权
    用于行为图案采矿的系统和方法

    公开(公告)号:US20130346447A1

    公开(公告)日:2013-12-26

    申请号:US13529111

    申请日:2012-06-21

    IPC分类号: G06F17/30

    CPC分类号: G06F17/30876 G06F17/30867

    摘要: Methods and systems of performing data mining may include receiving a plurality of web log records and a plurality of call log records; associating one or more web log records with a call log record, wherein the associated user for each of the associated one or more web log records and the call log record are the same; identifying one or more patterns among the web log records for the plurality of call log records, wherein each pattern comprises one or more web accesses, a time stamp at which each of the one or more web accesses is performed and the call topic for the call log record; identifying one or more web log records associated with a new call, and predicting a call topic for the new call based on at least one pattern and the one or more web log records.

    摘要翻译: 执行数据挖掘的方法和系统可以包括接收多个web日志记录和多个呼叫记录记录; 将一个或多个Web日志记录与呼叫记录记录相关联,其中,所述相关联的一个或多个web日志记录中的每一个的关联用户和所述呼叫记录记录是相同的; 识别用于多个呼叫记录记录的web日志记录中的一个或多个模式,其中每个模式包括一个或多个web访问,执行一个或多个web访问中的每一个执行的时间戳以及用于呼叫的呼叫主题 日志记录; 识别与新呼叫相关联的一个或多个web日志记录,以及基于至少一个模式和所述一个或多个web日志记录来预测新呼叫的呼叫主题。

    Systems and methods for behavioral pattern mining
    2.
    发明授权
    Systems and methods for behavioral pattern mining 有权
    行为模式挖掘的系统和方法

    公开(公告)号:US09305104B2

    公开(公告)日:2016-04-05

    申请号:US13529111

    申请日:2012-06-21

    IPC分类号: G06F7/00 G06F17/00 G06F17/30

    CPC分类号: G06F17/30876 G06F17/30867

    摘要: Methods and systems of performing data mining may include receiving a plurality of web log records and a plurality of call log records; associating one or more web log records with a call log record, wherein the associated user for each of the associated one or more web log records and the call log record are the same; identifying one or more patterns among the web log records for the plurality of call log records, wherein each pattern comprises one or more web accesses, a time stamp at which each of the one or more web accesses is performed and the call topic for the call log record; identifying one or more web log records associated with a new call, and predicting a call topic for the new call based on at least one pattern and the one or more web log records.

    摘要翻译: 执行数据挖掘的方法和系统可以包括接收多个web日志记录和多个呼叫记录记录; 将一个或多个Web日志记录与呼叫记录记录相关联,其中,所述相关联的一个或多个web日志记录中的每一个的关联用户和所述呼叫记录记录是相同的; 识别用于所述多个呼叫记录记录的所述web日志记录中的一个或多个模式,其中每个模式包括一个或多个web访问,执行所述一个或多个web访问中的每一个的时间戳以及所述呼叫的呼叫话题 日志记录; 识别与新呼叫相关联的一个或多个web日志记录,以及基于至少一个模式和所述一个或多个web日志记录来预测新呼叫的呼叫主题。

    Systems and methods of partitioning data for synchronous parallel processing
    3.
    发明授权
    Systems and methods of partitioning data for synchronous parallel processing 有权
    用于同步并行处理的数据分区系统和方法

    公开(公告)号:US08429165B1

    公开(公告)日:2013-04-23

    申请号:US13413978

    申请日:2012-03-07

    IPC分类号: G06F17/30

    CPC分类号: G06F9/505 G06F17/3089

    摘要: Methods and systems for partitioning data for processing in a plurality of data centers are disclosed. For each of a plurality of data centers, a time period required for the data center to process an amount of information may be estimated. The plurality of data centers may be ordered based on the time period for each data center. Data may be received from one or more sources. A data center having a smallest time period from the ordered plurality of data centers may be selected to be added to a set of data centers. An overall execution time for the set of data centers to process the data may be determined. The selecting and determining operations may be repeated until the overall execution time satisfies one or more threshold criteria. The data may be transmitted to the set of data centers.

    摘要翻译: 公开了用于分割用于在多个数据中心中进行处理的数据的方法和系统。 对于多个数据中心中的每一个,可以估计数据中心处理信息量所需的时间段。 可以基于每个数据中心的时间段来排序多个数据中心。 可以从一个或多个来源接收数据。 可以选择具有来自有序多个数据中心的最小时间周期的数据中心以被添加到一组数据中心。 可以确定用于处理数据的数据中心集合的总执行时间。 可以重复选择和确定操作,直到总体执行时间满足一个或多个阈值标准。 数据可以被发送到数据中心集合。

    Systems and methods for self-adaptive episode mining under the threshold using delay estimation and temporal division
    5.
    发明授权
    Systems and methods for self-adaptive episode mining under the threshold using delay estimation and temporal division 有权
    使用延迟估计和时间分割在阈值下进行自适应事件挖掘的系统和方法

    公开(公告)号:US08965830B2

    公开(公告)日:2015-02-24

    申请号:US13474083

    申请日:2012-05-17

    IPC分类号: G06F17/00 G06N5/02

    CPC分类号: G06F17/30539

    摘要: Embodiments relate to systems and methods for self-adaptive episode mining under time threshold using delay estimation and temporal division. An episode mining engine can analyze a set of episodes captured from a set of network resources to detect all sequences of user-specified frequency within a supplied runtime budget or time threshold. The engine can achieve desired levels of completeness in the results by mining the input log file in multiple stages or steps, each having successively longer lengths of event sequences. After completion of each stage, the engine calculates a remaining amount of runtime budget, and updates the amount of time to be allocated for each of the remaining stages up to a generated maximum stage (or sequence length). The engine thus corrects the estimated remaining time in the runtime budget (or threshold) after each stage, and continues to the next stage until the runtime budget is consumed.

    摘要翻译: 实施例涉及使用延迟估计和时间划分在时间阈值下进行自适应事件挖掘的系统和方法。 情节挖掘引擎可以分析从一组网络资源捕获的一组剧集,以检测所提供的运行时预算或时间阈值内的用户指定频率的所有序列。 引擎可以通过以多个阶段或步骤挖掘输入日志文件来获得所需结果的完整性,每个步骤具有连续更长的事件序列长度。 在每个阶段完成之后,引擎计算运行时间预算的剩余量,并且更新要分配给每个剩余阶段的时间直到生成的最大阶段(或序列长度)。 因此,引擎在每个阶段之后校正运行时间预算(或阈值)中的估计剩余时间,并且继续下一阶段,直到运行时预算消耗。

    SYSTEMS AND METHODS FOR SELF-ADAPTIVE EPISODE MINING UNDER THE THRESHOLD USING DELAY ESTIMATION AND TEMPORAL DIVISION
    6.
    发明申请
    SYSTEMS AND METHODS FOR SELF-ADAPTIVE EPISODE MINING UNDER THE THRESHOLD USING DELAY ESTIMATION AND TEMPORAL DIVISION 有权
    使用延迟估计和时间段在自适应阈值下进行自适应压缩采矿的系统和方法

    公开(公告)号:US20130311994A1

    公开(公告)日:2013-11-21

    申请号:US13474083

    申请日:2012-05-17

    IPC分类号: G06F9/46

    CPC分类号: G06F17/30539

    摘要: Embodiments relate to systems and methods for self-adaptive episode mining under time threshold using delay estimation and temporal division. An episode mining engine can analyze a set of episodes captured from a set of network resources to detect all sequences of user-specified frequency within a supplied runtime budget or time threshold. The engine can achieve desired levels of completeness in the results by mining the input log file in multiple stages or steps, each having successively longer lengths of event sequences. After completion of each stage, the engine calculates a remaining amount of runtime budget, and updates the amount of time to be allocated for each of the remaining stages up to a generated maximum stage (or sequence length). The engine thus corrects the estimated remaining time in the runtime budget (or threshold) after each stage, and continues to the next stage until the runtime budget is consumed.

    摘要翻译: 实施例涉及使用延迟估计和时间划分在时间阈值下进行自适应事件挖掘的系统和方法。 情节挖掘引擎可以分析从一组网络资源捕获的一组剧集,以检测所提供的运行时预算或时间阈值内的用户指定频率的所有序列。 引擎可以通过以多个阶段或步骤挖掘输入日志文件来获得所需结果的完整性,每个步骤具有连续更长的事件序列长度。 在每个阶段完成之后,引擎计算运行时间预算的剩余量,并且更新要分配给每个剩余阶段的时间直到生成的最大阶段(或序列长度)。 因此,引擎在每个阶段之后校正运行时间预算(或阈值)中的估计剩余时间,并且继续下一阶段,直到运行时预算消耗。

    METHODS AND SYSTEMS FOR SCALABLE EXTRACTION OF EPISODE RULES USING INCREMENTAL EPISODE TREE CONSTRUCTION IN A MULTI-APPLICATION EVENT SPACE
    7.
    发明申请
    METHODS AND SYSTEMS FOR SCALABLE EXTRACTION OF EPISODE RULES USING INCREMENTAL EPISODE TREE CONSTRUCTION IN A MULTI-APPLICATION EVENT SPACE 有权
    在多应用事件空间中使用增加的EPISODE树构造可扩展提取EPISODE规则的方法和系统

    公开(公告)号:US20130110758A1

    公开(公告)日:2013-05-02

    申请号:US13284356

    申请日:2011-10-28

    IPC分类号: G06N5/02

    CPC分类号: G06N99/005 G06N5/025 G06N5/04

    摘要: Methods and systems for scalable extraction of episode rules using incremental episode tree construction in a multi-application event space comprise compiling events from multiple, different domain logs into in a universal log file, rolling domain-dependent and domain-independent windows through the universal log file to identify distinct event-pattern episodes, adding episodes to an episode tree data structure, pruning less frequent episodes from the episode tree, analyzing the episode tree to identify frequent episode rules, and applying the frequent episode rules to future interactions with users.

    摘要翻译: 在多应用程序事件空间中使用增量插曲树构造可扩展提取剧集规则的方法和系统包括将多个不同域日志中的事件从通用日志文件中编译,通过通用日志滚动域依赖和不依赖域的窗口 文件以识别不同的事件模式情节,将剧集添加到情节树数据结构,从情节树中修剪较少频繁的剧集,分析情节树以识别频繁的剧集规则,以及将频繁剧集规则应用于与用户的未来交互。

    METHOD AND APPARATUS FOR PROVIDING RESOURCE ALLOCATION POLICY
    8.
    发明申请
    METHOD AND APPARATUS FOR PROVIDING RESOURCE ALLOCATION POLICY 有权
    提供资源分配政策的方法和装置

    公开(公告)号:US20100162257A1

    公开(公告)日:2010-06-24

    申请号:US12340471

    申请日:2008-12-19

    IPC分类号: G06F9/50

    CPC分类号: G06F9/50

    摘要: A method and apparatus for providing a resource allocation policy in a network are disclosed. For example, the method constructs a queuing model for each application. The method defines a utility function for each application and for each transaction type of each application, and defines an overall utility in a system. The method performs an optimization to identify an optimal configuration that maximizes the overall utility for a given workload, and determines one or more adaptation policies for configuring the system in accordance with the optimal configuration.

    摘要翻译: 公开了一种在网络中提供资源分配策略的方法和装置。 例如,该方法为每个应用程序构建排队模型。 该方法为每个应用程序和每个应用程序的每个事务类型定义一个实用程序函数,并定义系统中的整体实用程序。 该方法执行优化以识别最大化给定工作负载的整体效用的最佳配置,并且根据最佳配置确定用于配置系统的一个或多个适配策略。

    Systems and methods for disambiguating dialects in limited syntax languages to reduce system fragility
    9.
    发明授权
    Systems and methods for disambiguating dialects in limited syntax languages to reduce system fragility 有权
    以有限的语法语言消除歧义方言的系统和方法,以减少系统脆弱性

    公开(公告)号:US09367294B2

    公开(公告)日:2016-06-14

    申请号:US13229853

    申请日:2011-09-12

    摘要: An embodiment generally relates to systems and methods for improving system performance by reducing fragility of computing systems. A processing module can identify separate ensemble files each comprising interpretations, by separate entities of a workflow, of a phrase in a file. The processing module can compare the interpretations to determine if the interpretations are the same or essentially the same. If the interpretations are neither the same nor essentially the same, a subsequent entity in the workflow can create a new file that replaces an associated interpretation of the phrase with a common interpretation. The subsequent entity can proceed with an intended operation.

    摘要翻译: 一个实施方案通常涉及通过减少计算系统的脆弱度来提高系统性能的系统和方法。 处理模块可以识别每个包括文件中的短语的工作流的单独实体的解释的单独集合文件。 处理模块可以比较解释,以确定解释是否相同或基本相同。 如果解释既不相同也不完全相同,则工作流中的后续实体可以创建一个新文件,以替换具有共同解释的短语的相关解释。 随后的实体可以进行预期的操作。

    Computing energy rating for cloud-based software services utilizing configuration parameters
    10.
    发明授权
    Computing energy rating for cloud-based software services utilizing configuration parameters 有权
    使用配置参数计算基于云的软件服务的能耗评估

    公开(公告)号:US09342129B2

    公开(公告)日:2016-05-17

    申请号:US13479310

    申请日:2012-05-24

    摘要: A method for computing the energy rating for cloud-based software services is disclosed. For each of the service, following steps are performed. The method includes identifying configuration parameters impacting the energy consumption. The method further includes determining a value for each configuration parameter. Further, the method includes determining a relative energy rating using a pre-determined equation, based on the values of the configuration parameter. Finally, the method includes assigning a discrete value based on the range of the relative energy rating.

    摘要翻译: 公开了一种计算云计算软件服务能耗的方法。 对于每个服务,执行以下步骤。 该方法包括识别影响能量消耗的配置参数。 该方法还包括确定每个配置参数的值。 此外,该方法包括基于配置参数的值使用预定方程确定相对能量额定值。 最后,该方法包括基于相对能量等级的范围分配离散值。