公开(公告)号：US20160364423A1

公开(公告)日：2016-12-15

申请号：US14738087

申请日：2015-06-12

Applicant: Dell Software, Inc.

Inventor： Shree A. Dandekar ,  Mark W. Davis

IPC: G06F17/30 ,  G06N5/04

Abstract: A system, method, and computer-readable medium for performing a dynamic data index restructure operation. The dynamic data index restructure operation restructures the data indexes within a business intelligence architecture based on usage patterns so as to support queries most likely to be generated by users of the business intelligence architecture. In certain embodiments, the dynamic data index restructure operation is performed via a dynamic data index restructure agent which may be positioned between a business intelligence application and the business intelligence database.

Abstract translation: 一种用于执行动态数据索引重组操作的系统，方法和计算机可读介质。 动态数据索引重组操作基于使用模式重组商业智能体系结构中的数据索引，以支持业务智能架构用户最有可能生成的查询。 在某些实施例中，动态数据索引重组操作通过可位于商业智能应用程序和商业智能数据库之间的动态数据索引重构代理执行。

公开(公告)号：US20160335542A1

公开(公告)日：2016-11-17

申请号：US14710083

申请日：2015-05-12

Applicant: DELL SOFTWARE, INC.

Inventor： Shree A. Dandekar ,  Mark W. Davis

IPC: G06N5/02 ,  G06F13/36

CPC classification number: G06F13/36 ,  G06N20/00

Abstract: A system, method, and computer-readable medium are disclosed for performing distributed analytics using a metadata encoded decision engine. More specifically, the operation of performing distributed analytics combines metadata encoding of input expectations for models with a multi-tier decision engine. In certain embodiments, the multi-tier decision engine provides arbitrary responses to input failures, including data dropping, routing to additional models, signaling, data conditioning, and even updating of the model parameters themselves. The combination of the processing model, the data input validation, and the decision engine improves the operation of a distributed data processing environment which is focused on predictive and reactive analysis of edge processing data.

Abstract translation: 公开了一种用于使用元数据编码决策引擎进行分布式分析的系统，方法和计算机可读介质。 更具体地，执行分布式分析的操作将对模型的输入期望的元数据编码与多层决策引擎相结合。 在某些实施例中，多层决策引擎提供对输入故障的任意响应，包括丢弃数据，到附加模型的路由，信令，数据调节，甚至更新模型参数本身。 处理模型，数据输入验证和决策引擎的组合改进了分布式数据处理环境的运行，该环境侧重于边缘处理数据的预测和反应分析。

公开(公告)号：US20160307208A1

公开(公告)日：2016-10-20

申请号：US14688511

申请日：2015-04-16

Applicant: Dell Software, Inc.

Inventor： Shree A. Dandekar ,  Mark W. Davis

IPC: G06Q30/02 ,  G06Q50/00 ,  H04L29/08

CPC classification number: G06Q30/0201 ,  G06Q50/01 ,  H04L67/22

Abstract: A system, method, and computer-readable medium for performing a virtual organization operation for generating a virtual organization hierarchy that is based upon influence within an organization. More specifically, in certain embodiments, the operation generates a virtual organizational hierarchy that contains individuals, roles, contact information, responsibilities, estimates of purchasing authority, and other influential values. In certain embodiments, the virtual organization operation includes templates for virtual organizations of differing types to provide the capacity for handling differences in organizational structures like not-for-profits or educational establishments. Additionally, in certain embodiments, the virtual organization operation maintains semantic relationships between roles and individuals, thus enabling the virtual hierarchy to be used to identify missing decision makers and influencers in an organization as a whole, including the ability to infer the role of an individual within the hierarchy without knowing a specific title for the individual.

Abstract translation: 一种系统，方法和计算机可读介质，用于执行虚拟组织操作，以生成基于组织内的影响的虚拟组织层次结构。 更具体地说，在某些实施例中，该操作产生包含个人，角色，联系信息，责任，购买授权的估计以及其他影响值的虚拟组织层次。 在某些实施例中，虚拟组织操作包括用于不同类型的虚拟组织的模板，以提供处理诸如非营利或教育机构之类的组织结构中的差异的能力。 另外，在某些实施例中，虚拟组织操作维护角色和个体之间的语义关系，从而使虚拟层次结构能够用于识别整个组织中缺失的决策者和影响者，包括推断个人角色的能力 在层级中，不知道个人的具体标题。

公开(公告)号：US10827039B1

公开(公告)日：2020-11-03

申请号：US14886884

申请日：2015-10-19

Applicant: Dell Software Inc.

Inventor： Shree A. Dandekar ,  Mark William Davis

IPC: H04L29/06 ,  H04L29/08

Abstract: In an embodiment, a method includes receiving, from a data source, time-series data of a time-series data stream produced by the data source. The method further includes identifying a target compression algorithm for the time-series data, wherein the target compression algorithm is linked to the data source in memory pursuant to a dynamically-variable assignment. The method also includes compressing the time-series data using the target compression algorithm and transmitting the compressed time-series data to a destination. Furthermore the method includes periodically optimizing the dynamically-variable assignment in real-time as the time-series data is received.

公开(公告)号：US09904707B1

公开(公告)日：2018-02-27

申请号：US14672791

申请日：2015-03-30

Applicant: Dell Software Inc.

Inventor： Shree A. Dandekar ,  Mark William Davis

IPC: G06F17/30

CPC classification number: G06F17/30457 ,  G06F17/30474

Abstract: In one embodiment, a method includes receiving a request to execute a database statement in satisfaction of a time constraint. The method further includes determining a pattern of the database statement. Additionally, the method includes comparing the pattern to pattern metadata associated with cached samples of the distributed database. Also, the method includes, responsive to a determination that the comparing has resulted in one or more matches, selecting a target sample and causing the database statement to be executed on the target sample. The method further includes, responsive to a determination that the target sample resolves the database statement in satisfaction of the time constraint, returning a resulting dataset to a requestor. Moreover, the method includes, responsive to a determination that the target sample does not resolve the database statement in satisfaction of the time constraint, causing a new real-time sampling of the distributed database to be executed.

公开(公告)号：US20160351187A1

公开(公告)日：2016-12-01

申请号：US14726971

申请日：2015-06-01

Applicant: Dell Software, Inc.

Inventor： Shree A. Dandekar ,  Mark W. Davis

IPC: G10L15/07 ,  G10L15/18

CPC classification number: G10L15/075 ,  G06F17/277 ,  G06F17/2785 ,  G10L15/1815 ,  G10L2015/0633 ,  G10L2015/226

Abstract: A system, method, and computer-readable medium for performing ambiguous utterances identification operations by extrapolating statements of the utterance using machine learning based linguistic analysis. More specifically, in certain embodiments, the ambiguous utterances identification operations are performed by generating an ambiguous utterance repository that is indexed by and contains individuals, regions, tweets, blogs, and latest trends. This ambiguous utterance repository is then linked to a lexicon engine that stores linguistic semantics for particular demographics. The ambiguous utterances identification operations also can capture the latest trends in ambiguous utterances occurring happening in certain demographics.

Abstract translation: 一种系统，方法和计算机可读介质，用于通过使用基于机器学习的语言分析来推断语音语句来执行模糊语音识别操作。 更具体地说，在某些实施例中，通过生成由个人，区域，推文，博客和最新趋势索引并包含个人，区域，推文，博客和最新趋势的模糊话语存储库来执行模糊语音识别操作。 然后将这个模糊的话语存储库链接到一个词典引擎，用于存储特定人口统计学的语言语义。 模糊的话语识别操作还可以捕获某些人口统计学发生的模糊话语的最新趋势。

公开(公告)号：US09640177B2

公开(公告)日：2017-05-02

申请号：US14726971

申请日：2015-06-01

Applicant: Dell Software, Inc.

Inventor： Shree A. Dandekar ,  Mark W. Davis

IPC: G10L15/00 ,  G10L15/07 ,  G10L15/18 ,  G10L15/06 ,  G10L15/22

CPC classification number: G10L15/075 ,  G06F17/277 ,  G06F17/2785 ,  G10L15/1815 ,  G10L2015/0633 ,  G10L2015/226

Abstract: A system, method, and computer-readable medium for performing ambiguous utterances identification operations by extrapolating statements of the utterance using machine learning based linguistic analysis. More specifically, in certain embodiments, the ambiguous utterances identification operations are performed by generating an ambiguous utterance repository that is indexed by and contains individuals, regions, tweets, blogs, and latest trends. This ambiguous utterance repository is then linked to a lexicon engine that stores linguistic semantics for particular demographics. The ambiguous utterances identification operations also can capture the latest trends in ambiguous utterances occurring happening in certain demographics.