公开(公告)号：US09256970B2

公开(公告)日：2016-02-09

申请号：US13841514

申请日：2013-03-15

Applicant: HEWLETT-PACKARD DEVELOPMENT COMPANY, L.P.

Inventor： Ming C. Hao ,  Michael Hund ,  Umeshwar Dayal ,  Soma Sundaram Santhiveeran ,  Halldor Janetzko ,  Sebastian Mittelstaedt ,  Daniel Keim ,  Meichun Hsu

IPC: G06T11/20 ,  G06Q30/02

CPC classification number: G06T11/206 ,  G06Q30/0201

Abstract: Visual analytics for multivariate session data using concentric rings with overlapping periods includes displaying an interactive graph in a display. The interactive graph includes at least a portion of multiple concentric rings where each one of at least some of the multiple concentric rings represents periodic time units. At least some of the multiple concentric rings are divided into cells where the cells represent smaller time periods than the time units. A color of each of the cells represents a value of a metric. Also, an overlapping period ring displayed with the multiple concentric rings where the overlapping period ring comprises segments that represent overlapping metrics from the cells of the concentric rings that correspond with the segments.

Abstract translation: 使用具有重叠周期的同心圆的多变量会话数据的视觉分析包括在显示器中显示交互图。 交互图包括多个同心环的至少一部分，其中多个同心圆中的至少一个中的每一个代表周期性时间单位。 多个同心环中的至少一些被分成细胞，其中细胞代表比时间单位更小的时间段。 每个单元格的颜色表示度量的值。 此外，与多个同心环一起显示的重叠周期环，其中重叠周期环包括表示来自与段对应的同心环的单元格的重叠度量的段。

公开(公告)号：US20150271236A1

公开(公告)日：2015-09-24

申请号：US14435685

申请日：2012-10-18

Applicant: HEWLETT-PACKARD DEVELOPMENT COMPANY, L.P.

Inventor： Qiming Chen ,  Meichun Hsu

IPC: H04L29/06

CPC classification number: H04L65/602

Abstract: Multiple tuples are combined (202) by a processing node into a message that has a key portion including a value of a key, and a payload including a relation containing content of the combined plurality of tuple. The message is sent (204) to a receiving node.

Abstract translation: 多个元组由处理节点组合（202）到具有包括密钥值的密钥部分的消息和包含包含组合的多个元组的内容的关系的有效载荷。 该消息被发送（204）到接收节点。

公开(公告)号：US20150035833A1

公开(公告)日：2015-02-05

申请号：US13955961

申请日：2013-07-31

Applicant: Hewlett-Packard Development Company, L.P.

Inventor： Ming C. Hao ,  Manish Marwah ,  Halldor Janetzko ,  Meichun Hsu ,  Umeshwar Dayal ,  Daniel Keim

IPC: G06T11/20

CPC classification number: G06T11/206

Abstract: Example embodiments relate to providing visual analytics of temporal-spatial relationships. In example embodiments, power meters may be located at regions within a building for collecting power consumption data at regular intervals. The power consumption data can be recursively processed to generate a pixel calendar tree by using a power meter hierarchy to subdivide the pixel calendar tree into tree portions according to a proportion of the power consumption data attributed to each of power meter nodes, where the tree portions are arranged in the pixel calendar tree according to an importance of the proportion; generating pixel cells in the pixel calendar tree that each represent a day in the power consumption data; and generating cell borders that each surround one of the pixel cells. At this stage, a pixel calendar display of a physical infrastructure of the building that includes the pixel cells and the cell borders can be generated.

Abstract translation: 示例性实施例涉及提供时间 - 空间关系的视觉分析。 在示例实施例中，功率计可以位于建筑物内的区域，以规则的间隔收集功率消耗数据。 功率消耗数据可以被递归地处理以通过使用功率计层次结构根据属于每个功率计节点的功率消耗数据的比例将像素日历树细分为树形部分来生成像素日历树，其中树形部分 根据比例的重要性排列在像素日历树中; 生成像素日历树中的每个表示功耗数据中的一天的像素单元; 以及生成每个围绕像素单元之一的单元格边框。 在此阶段，可以生成包括像素单元和单元边界的建筑物的物理基础设施的像素日历显示。

公开(公告)号：US20140304549A1

公开(公告)日：2014-10-09

申请号：US13857716

申请日：2013-04-05

Applicant: HEWLETT-PACKARD DEVELOPMENT COMPANY, L.P.

Inventor： Meichun Hsu ,  Qiming Chen ,  Maria G. Castellanos

IPC: G06F11/07

CPC classification number: G06F11/0793 ,  G06F11/0709

Abstract: A technique of recovering a failure in a data processing system comprises recording a number of input channels and sequence numbers for a number of input tuples transferred to a recipient task, recording a number of output channels and sequence numbers for a number of output tuples, and if a failure occurs, resolving the input and output channels.

Abstract translation: 恢复数据处理系统中的故障的技术包括：记录多个输入通道和输入到接收者任务的多个输入元组的序列号，为多个输出元组记录多个输出通道和序列号;以及 如果发生故障，解析输入和输出通道。

公开(公告)号：US20140267290A1

公开(公告)日：2014-09-18

申请号：US13841514

申请日：2013-03-15

Applicant: HEWLETT-PACKARD DEVELOPMENT COMPANY, L.P.

Inventor： Ming C. Hao ,  Michael Hund ,  Umeshwar Dayal ,  Soma Sundaram Santhiveeran ,  Halldor Janetzko ,  Sebastian Mittelstaedt ,  Daniel Keim ,  Meichun Hsu

IPC: G06T11/20

CPC classification number: G06T11/206 ,  G06Q30/0201

Abstract: Visual analytics for multivariate session data using concentric rings with overlapping periods includes displaying an interactive graph in a display. The interactive graph includes at least a portion of multiple concentric rings where each one of at least some of the multiple concentric rings represents periodic time units. At least some of the multiple concentric rings are divided into cells where the cells represent smaller time periods than the time units. A color of each of the cells represents a value of a metric. Also, an overlapping period ring displayed with the multiple concentric rings where the overlapping period ring comprises segments that represent overlapping metrics from the cells of the concentric rings that correspond with the segments.

Abstract translation: 使用具有重叠周期的同心圆的多变量会话数据的视觉分析包括在显示器中显示交互图。 交互图包括多个同心环的至少一部分，其中多个同心圆中的至少一个中的每一个代表周期性时间单位。 多个同心环中的至少一些被分成细胞，其中细胞代表比时间单位更小的时间段。 每个单元格的颜色表示度量的值。 此外，与多个同心环一起显示的重叠周期环，其中重叠周期环包括表示来自与段对应的同心环的单元格的重叠度量的段。

公开(公告)号：US20140149417A1

公开(公告)日：2014-05-29

申请号：US13686297

申请日：2012-11-27

Applicant: HEWLETT-PACKARD DEVELOPMENT COMPANY, L.P.

Inventor： Hyun Duk Kim ,  ChenXiang Zhai ,  Meichun Hsu ,  Maria Guadalupe Castellanos

IPC: G06F17/30

CPC classification number: G06F17/30699 ,  G06F17/30551 ,  G06F17/30598

Abstract: Causal topic mining can include incorporating non-text time series data with a number of articles based on a time relationship and analyzing the incorporated non-text time series data and the number of articles at a particular time to determine a causal relationship.

Abstract translation: 因果主题挖掘可以包括将非文本时间序列数据与基于时间关系的许多文章相结合并且在特定时间分析合并的非文本时间序列数据和文章数量以确定因果关系。