Patent application number | Description | Published |
20090033664 | Generating a visualization to show mining results produced from selected data items and attribute(s) in a selected focus area and other portions of a data set - To visualize and analyze data, selection of at least one focus area in a visualization of a data set is received. Based on characteristics of the selected at least one focus area, using at least one analytic technique to mine relationships between data items and at least one attribute in the selected at least one focus area and data items and at least one attribute in remaining portions of the data set. At least one visual representation is generated to show mining results produced from selected data items and one or more attributes in the selected at least one focus area and the remaining portions of the data set, where the generated visual representation is composed to have an order and layout to represent the mined results. | 02-05-2009 |
20100103176 | Non-overlapping visualization of data records of a scatter plot - Non-overlapping visualization of data records of a scatter plot is provided by providing rows and columns in a visualization screen containing cells representing respective data records. The rows correspond to value ranges of a first attribute, and the columns correspond to value ranges of a second attribute. The value ranges are automatically generated for the rows and columns from data values of the data records. | 04-29-2010 |
20100103189 | Displaying continually-incoming time series that uses overwriting of one portion of the time series data while another portion of the time series data remains unshifted - Continually-incoming time series data is displayed in a visualization screen. In response to detecting that the visualization screen has become full with time series data, a first portion of the time series data is overwritten with additional incoming data such that the additional incoming data replaces the first portion of the time series data in the visualization screen. A second portion of the time series data is maintained unshifted even though the additional incoming data has been added to the visualization screen. | 04-29-2010 |
20100107063 | Automated visual analysis of nearby markings of a visualization for relationship determination and exception identification - To automatically visually analyze relationship in data records that are presented by a visualization containing cells representing corresponding data records, identification of a threshold of interest is received for a particular one of attributes in the visualization. Nearby areas in the visualization are marked based on the threshold, and data records in the marked areas are mined to determine at least one relationship between the particular attribute and at least one other attribute, and to identify information associated with an exception. A result of the mined at least one relationship is provided, for display, in a graphical element. | 04-29-2010 |
20100110076 | Spatial temporal visual analysis of thermal data - Systems, methods, and other embodiments associated with spatial temporal visual analysis of thermal data are described. One example system includes recording a set of temperature data including multiple dimensions of data from a set of sensors attached to racks of computers in a data center. The example system also includes displaying the multiple dimensions of data in a two dimension graphic. The example system also includes performing spatial temporal visual analysis techniques to correlate temperature states, discover thermal exceptions, and so on, in the graphic. | 05-06-2010 |
20100188413 | Placement of cells in bins to provide non-overlapping visualization of data points of a scatter plot - To provide non-overlapping visualization of data points of a scatter plot, bins in a visualization screen are defined. The bins are defined along a first dimension by a first attribute of the data points, and along a second dimension by a second attribute of the data points. Cells representing corresponding data points in the bins are placed using a placement algorithm that positions the cells in the bins according to values of the first and second attributes of the corresponding data points. If the placement algorithm detects plural data points that have identical values of the first and second attributes, the placement algorithm groups the data points having the identical values in nearby positions surrounding a position corresponding to the identical values of the first and second attributes to avoid overlay of the data points having the identical values of the first and second attributes. | 07-29-2010 |
20100231594 | Constructing a cell-based cluster of data records of a scatter plot - To construct at least one cluster of data records of a scatter plot, cells representing the data records are placed in a visualization screen according to values of a first attribute and a second attribute of the data records. Visual indicators are assigned to the cells according to values of a third attribute of the data records. In response to detecting data records having a particular pair of first attribute and second attribute values, cells representing the data records having the particular pair of first attribute and second attribute values are placed in nearby positions according to similarity of values of the third attribute to form the at least one cluster of cells having similar visual indicators. | 09-16-2010 |
20100262613 | Data Stream Processing - A method of processing a stream of raw data from a plurality of distributed data producing devices includes reducing the raw data to a plurality of representative synopsis coefficients, organizing the synopsis coefficients into a data structure with at least three dimensions, including a time window dimension and an accuracy dimension. Responsive to a detected anomaly in the data structure, at least one of a predetermined autonomous action and an action directed by a user is performed. | 10-14-2010 |
20100325206 | PROVIDING COLLABORATIVE BUSINESS INTELLIGENCE - To provide collaborative business intelligence in an enterprise, an analytics platform is provided to receive an event associated with the enterprise and to perform analysis in response to the event. A virtual collaboration platform is provided to enable plural users to interact with each other and to use resources of the analytics platform. | 12-23-2010 |
20110029926 | Generating a visualization of reviews according to distance associations between attributes and opinion words in the reviews - Representations of reviews regarding at least one offering of an enterprise are received, wherein the representations of the reviews contain attributes and opinion words. Distance associations between the attributes and the opinion words in the representations are determined according to a distance mapping strategy that uses distances between the attributes and the opinion words in a section. A visualization of the reviews is generated according to the determined associations. | 02-03-2011 |
20110242106 | Generalized scatter plots - Color cell-based data placement systems, methods, and computer-readable storage media that visualize large amounts of multidimensional data on an output by rearranging data objects to variably grant more output space to areas with high data density and less output space to areas with low data density, and to variably rearrange overlapping data objects based on a number of data objects already placed at a preferred cell position for the data object. | 10-06-2011 |
20110279469 | Performing time slice-based visual prediction - To perform time slice-based visual prediction, a weighted moving aggregate of data values in a data set is calculated over previous time slices to predict data values based on interactive user input. A visual accuracy indicator is generated for display to indicate a quality of prediction of data values at different times. A visualization presents data values from the data set and the predicted data values, where the data values from the data set and the predicted data values are represented as corresponding cells. | 11-17-2011 |
20110298804 | VISUAL DISPLAY OF DATA FROM A PLURALITY OF DATA SOURCES - Systems and methods are provided for viewing, aligning, and correlating data in a visual display from data sources in data management systems. In one method, data sources in a data management system can be identified. Data attributes from the data sources can be displayed together as graphical cells over a common timeline as a reference for cell attribute columns. A first graphical cell in an attribute column at a time position on the common timeline can be selected. The graphical cell can represent a data record for a time measurement interval. A second graphical cell can be aligned with the first graphical cell based on the time position. The second graphical cell can be positioned in a same cell column as the first graphical cell and represent data obtained at a substantially same time as the data represented by the first graphical cell. | 12-08-2011 |
20120041963 | PROVIDING SELECTED ATTRIBUTES OF STREAMING DATA FOR DISPLAY BY A VISUALIZATION ENGINE - An adapter receives tuples of streaming data from a streaming data source. The adapter extracts selected attributes from the tuples of streaming data, and writes the selected attributes to a buffer associated with a visualization engine for displaying the selected attributes in a visualization screen. The selected attributes are written to the buffer according to a predefined format supported by the visualization engine. The adapter receives interactive user input to change the selected attributes to be extracted from the tuples and written to the buffer. | 02-16-2012 |
20120060080 | Visual representation of a cell-based calendar transparently overlaid with event visual indicators for mining data records - A system causes display of a visual representation of a cell-based calendar having cells representing data records, where the cells have corresponding visual indicators corresponding to values of the respective data records. The cells are arranged in plural blocks corresponding to time intervals of the cell-based calendar. Event visual indicators transparently overlay cells in at least some of the plural blocks, where the event visual indicators represent events that occurred in time intervals corresponding to the at least some blocks. The events are separate from activities represented by the data records. Providing the event visual indicators transparently overlaid over the cells in the at least some blocks depict a relationship and relative impact between the data records and the events. | 03-08-2012 |
20120089941 | Visualizing motifs with visual structures - Visual structures are produced to represent corresponding motifs, where the motifs correspond to repeating patterns in an input data set, where sizes of the visual structures are based on values of a characteristic associated with the motifs, and where a first of the motifs is nested within a second of the motifs to represent a hierarchical relationship of the patterns represented by the first and second motifs. The visual structures of corresponding motifs are presented for display in a visualization screen, where the visualization screen depicts the data in the input data set with the visual structures overlapping parts of depicted data. Interactive input is received specifying modification of a region containing motifs, wherein the specified modification includes interactive distortion of the visual structures in the region to change a size of the visual structures in the region. | 04-12-2012 |
20120109843 | Visual analysis of a time sequence of events using a time density track - Data records representing a time sequence of events are received, where time gaps between successive events vary. A first visualization having a sequence of graphical elements representing the corresponding events is generated, where the graphical elements do not overlay each other. A second visualization includes a time density track having gap representing elements, where the gap representing elements have different characteristics to represent different gaps between respective successive events. | 05-03-2012 |
20120317049 | SELECTING SENTIMENT ATTRIBUTES FOR VISUALIZATION - Data records containing user feedback regarding at least one offering are received. From among candidate attributes in the received data records, a subset of attributes that relate to user sentiment regarding the at least one offering is selected, where the selecting is according to selection criteria including frequency of occurrence of the candidate attributes, relative amounts of negative and positive feedback associated with the candidate attributes, and time density of feedback associated with the candidate attributes. A visualization of at least one sentiment characteristic of the selected subset of attributes that relate to user sentiment is presented for display. | 12-13-2012 |
20130030759 | SMOOTHING A TIME SERIES DATA SET WHILE PRESERVING PEAK AND/OR TROUGH DATA POINTS - Implementations disclosed herein relate to smoothing a time series data set while preserving at least one of peak or trough data points. In one embodiment, a processor recursively identifies at least one of a peak or trough point outside of a threshold distance from a connecting line connecting a beginning and ending point within the time series data set. | 01-31-2013 |
20130046756 | Visualizing Sentiment Results with Visual Indicators Representing User Sentiment and Level of Uncertainty - Sentiment analysis of user feedback is performed, using uncertainty rules. Different levels of uncertainty associated with sentiment results of the sentiment analysis are determined, where the sentiment results identify user sentiments contained in the user feedback. At least one visualization of the sentiment result is provided, where the visualization has first visual indicators to represent respective user sentiments, and second visual indicators associated with the first visual indicators to represent respective levels of uncertainty associated with the respective user sentiments. | 02-21-2013 |
20130054597 | CONSTRUCTING AN ASSOCIATION DATA STRUCTURE TO VISUALIZE ASSOCIATION AMONG CO-OCCURRING TERMS - Extended associations are determined based on binary associations. The extended associations are associations among three or more terms in input data, and the binary associations are between terms in the input data. An association data structure having a plurality of entries is constructed, where at least a particular one of the plurality of entries includes visual elements representing terms that are associated according to the binary associations and the extended associations, and where the association data structure provides a visualization of an association pattern among co-occurring terms in the input data | 02-28-2013 |
20130088493 | PROVIDING AN ELLIPSOID HAVING A CHARACTERISTIC BASED ON LOCAL CORRELATION OF ATTRIBUTES - Data records are grouped into clusters according to attributes of the data records to be correlated. At least two of the clusters that satisfy a proximity criterion are merged. At least one ellipsoid is created for presentation in a scatter plot visualization based on the grouping and merging, the ellipsoid including pixels representing multiple corresponding data records. The ellipsoid has a characteristic based on a corresponding local correlation of the attributes of the data records represented by the ellipsoid. The characteristic of the ellipsoid is adjusted based on a direction of the local correlation. | 04-11-2013 |
20130103616 | Computing Predicted Data According to Weighted Peak Preservation and Time Distance Biasing - A value corresponding to an adjustable control element is received. Predicted data is computed from seasonal data, where the computing is according to applying preservation of peaks in the seasonal data and applying time distance biasing in which more recent data points in the seasonal data are weighted higher than less recent data points. Relative weighting of the peak preservation and the time distance biasing is based on the received value corresponding to the adjustable control element. | 04-25-2013 |
20130110753 | Combining multivariate time-series prediction with motif discovery | 05-02-2013 |
20130185315 | Identification of Events of Interest - Example embodiments relate to identification of events of interest from a feed including a plurality of events. Example embodiments may determine an interestingness score for each of a plurality of time intervals, each time interval including one or more events from the feed of events. Example embodiments may then select a time interval or output a visualization of the time interval, where the score of the time interval indicates that the time interval is likely to contain events of interest. | 07-18-2013 |
20130194272 | PLACING PIXELS ACCORDING TO ATTRIBUTE VALUES IN POSITIONS IN A GRAPHICAL VISUALIZATION THAT CORRESPOND TO GEOGRAPHIC LOCATIONS - Data records representing user feedback are received, where the data records are associated with geometric coordinates. Pixels representing the corresponding data records are placed in positions in a graphical visualization according to the geometric coordinates of the data records, where the positions correspond to geographic locations. A subset of the pixels sharing a particular set of geometric coordinates is placed in a subregion of nearby positions in the graphical representation, where the pixels in the subset are placed in an order in the subregion according to values of an attribute of the data records corresponding to the pixels in the subset. | 08-01-2013 |
20130195312 | PLACING TEMPORALLY ALIGNED AND VARIABLY SIZED PIXELS IN DISCRETE RINGS IN A GRAPHICAL VISUALIZATION - Data points contain data values in respective time intervals. Pixels representing data points for time periods (each time period including multiple time intervals) are placed in corresponding discrete rings in a graphical visualization, wherein the pixels are user accessible to allow viewing of information of the corresponding data points. The pixels are temporally aligned in the corresponding discrete rings, and the pixels in the corresponding discrete rings are variably sized depending on a number of data points in the respective time periods. | 08-01-2013 |
20130215137 | GENERATING A CALENDAR GRAPHICAL VISUALIZATION INCLUDING PIXELS REPRESENTING DATA RECORDS CONTAINING USER FEEDBACK - A calendar graphical visualization is generated that includes an arrangement of blocks including pixels representing data records containing user feedback, wherein plural groups of the blocks represent different attributes of the data records, and wherein the blocks correspond to respective time intervals. A size of the blocks is determined based on identifying a union of time positions corresponding to data records received for the different attributes in a particular time interval of the time intervals. Pixels in a first of the blocks corresponding to a first of the attributes are aligned with pixels in a second of the blocks corresponding to a second of the attributes by placing gaps in the first and second blocks at respective time positions that are missing values for corresponding ones of the attributes. | 08-22-2013 |
20130257903 | OVERLAYING TRANSPARENCY IMAGES INCLUDING PIXELS CORRESPONDING TO DIFFERENT HEIRARCHICAL LEVELS OVER A GEOGRAPHIC MAP - Data records contain corresponding values of an attribute and are associated with location information. Hierarchical levels of transparency images are generated, where each of the transparency images includes corresponding pixels that represent the respective data records, and where the transparency images at different ones of the hierarchical levels correspond to different zoom levels of a geographic map. At least one of the transparency images at a dynamically-selected one of the hierarchical levels is overlaid over the geographic map according to which of the zoom levels is selected by a user in zooming of the geographic map, where the at least one transparency image is automatically selected without user input. | 10-03-2013 |
20130278623 | PROVIDING A CORRELATION RING FOR INDICATING CORRELATION BETWEEN ATTRIBUTES - Pixels representing attributes of data records are into discrete rings of a graphical visualization, where the discrete rings correspond to respective ones of the attributes, and where the pixels are arranged in each of the discrete rings according to time intervals of the data records. A correlation ring is provided in the graphical visualization in addition to the discrete rings, where the correlation ring has visual indicators for indicating degrees of correlation between at least two of the attributes. | 10-24-2013 |
20130286039 | SMOOTHED VISUALIZATION HAVING RINGS CONTAINING PIXELS REPRESENTING UNEVENLY SPACED DATA - Unevenly spaced data records are received over time. A smoothed graphical visualization has a plurality of discrete rings to allow for detection of periodical patterns in the data records, where the discrete rings correspond to plural time periods and contain pixels representing values of an attribute of the data records. Visual indicators are assigned to the corresponding pixels, where a first of a visual indicators for a first time interval that is missing a data record is based on aggregating values of the attribute of neighboring data records, and where a second of the visual indicators for a second time interval having multiple data records is based on aggregating values of the attribute of the multiple data records. | 10-31-2013 |
20140039875 | VISUAL ANALYSIS OF PHRASE EXTRACTION FROM A CONTENT STREAM - A system may include an extraction engine to extract candidate phrases from a content stream, and an analysis engine to assign the candidate phrases visual cues and display the visual cues to an operator. | 02-06-2014 |
20140040247 | VISUALIZING TIME-DENSE EPISODES - Attributes in data records are identified. Episodes corresponding to the respective attributes include respective data records. The episodes are scored, where scoring of a particular one of the episodes is based on relative time densities between successive data records of the particular episode. A visualization of at least some of the episodes to provide an alert of time-dense episodes. | 02-06-2014 |
20140055457 | PIXEL-BASED GRAPHICAL VISUALIZATION INCLUDING A PEAK DETECTION RING - A method executed by a system having a processor includes arranging pixels representing attributes into a plurality of rings. Each ring contains pixels representing a time series of attribute values for a respective one of the attributes. The method further includes providing a peak detection ring. The peak detection ring includes visual indicators for indicating a location of at least one peak in an attribute in the plurality of rings. | 02-27-2014 |
20140172861 | VISUALIZING A RELATIONSHIP OF ATTRIBUTES USING A RELEVANCE DETERMINATION PROCESS TO SELECT FROM CANDIDATE ATTRIBUTE VALUES - For plural categorical values of a first attribute, more relevant categorical values of a second attribute are selected from among candidate categorical values of the second attribute, where the selecting uses a relevance determination process that considers frequencies of occurrence of respective pairs of the categorical values of the first and second attributes. A visualization that includes groups of cells corresponding to the respective pairs of categorical values of the first and second attributes is generated. At least one of the groups includes cells assigned visual indicators based on values of a third attribute. | 06-19-2014 |
20140204090 | VISUALIZATION THAT INDICATES EVENT SIGNIFICANCE REPRESENTED BY A DISCRIMINATIVE METRIC COMPUTED USING A CONTINGENCY CALCULATION - Using a contingency calculation based on a number of events sharing a collection of values of plural attributes, a discriminative metric is computed representing a statistical significance of the events that share the collection of values of the plural attributes. A visualization is generated that includes cells representing respective events, the visualization including a region containing a subset of the cells corresponding to the collection of values of the plural attributes, and the visualization including a significance visual indicator associated with the region to indicate the statistical significance of the events sharing the collection of values of the plural attributes. | 07-24-2014 |
20140267290 | Visual Analytics of Multivariate Session Data Using Concentric Rings with Overlapping Periods - 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. | 09-18-2014 |
20140320539 | SEMANTIC ZOOM-IN OR DRILL-DOWN IN A VISUALIZATION HAVING CELLS WITH SCALE ENLARGEMENT AND CELL POSITION ADJUSTMENT - A region is selected in a visualization that displays cells representing respective events, the cells being depicted in the visualization according to a first group of attributes of the events, where the region corresponds to a subset of the events. In response to detecting a first type of input provided with respect to the region, a semantic zoom-in visualization of the region is generated, the semantic zoom-in visualization depicting the cells representing the events of the subset at an enlarged scale and according to the first group of attributes and at a higher resolution to show further information relating to the events of the subset. In response to detecting a second type of input provided with respect to the region, a semantic drill-down visualization of the region is generated, the semantic drill-down visualization visualizing the events of the subset at an enlarged scale and according to a second group of attributes having at least one attribute that differs from the attributes of the first group. Generating the semantic zoom-in visualization or the semantic drill-down visualization includes adjusting positions of cells sharing common attribute values. | 10-30-2014 |
20140325329 | Visual Analytics of Multivariate Data Using a Cell Based Calendar Matrix having a Visual Folding Mechanism - Visual analytics of multivariate data using a cell based calendar matrix having a visual folding mechanism can include forming a time based layout that is divided into cells where the cells represent measurement intervals and a color of the cells represents a measurement value, folding the time based layout into a cell based calendar matrix with other time based layouts that include other cells that represent corresponding measurement intervals in different calendar units of the cell based calendar matrix, and displaying the cell based calendar matrix in a display such that the cells of the time based layout align by time with the other cells of the other time based layouts. | 10-30-2014 |
20140325417 | Visual Analytics Using Multivariate Concentric Rings with a Visual Start Time Mechanism - Visual analytics using multivariate concentric rings with a visual start time mechanism includes displaying an interactive graph where the interactive graph has multiple concentric rings that have multiple cells that represent sequential time periods. The concentric rings form a time unit that starts at an origin and ends at a time unit end and also has a pre-nonorigin starting section and a post-nonorigin starting section. A color is displayed in the cells to represent measurements associated with time stamps corresponding to cells in the post-nonorigin starting section. Further, a background color is displayed in cells of the pre-nonorigin starting section. The cells in the pre-nonorigin starting section are reused by displaying a color to represent metrics associated with time stamps belonging to a subsequent time unit. | 10-30-2014 |
20140344243 | Sentiment Trent Visualization Relating to an Event Occuring in a Particular Geographic Region - An event occurring in a particular geographic region is identified based on disseminated information containing public commentary in the particular geographic region. Attributes that are related to the event are identified, and sentiment words relating to the identified event are extracted from the disseminated information, where the extracted sentiment words are in a local language of the particular geographic region. A sentiment trend visualization is generated that depicts a trend of sentiments of at least a particular one of the identified attributes, wherein the sentiments are based on the sentiment words for at least the particular attribute. | 11-20-2014 |
20140365149 | Visual Analytics of Spatial Time Series Data Using a Pixel Calendar Tree - Example embodiments relate to providing visual analytics of spatial time series data. In example embodiments, sensors may be located at regions within a building for collecting sensor data at regular time intervals. A sensor hierarchy can be generated including sensor nodes that are hierarchically arranged according to a physical infrastructure of the building, where each of the sensor nodes corresponds to a sensor. Sensor data can be obtained from the sensors, and a pixel calendar tree can be generated based on the sensor data and the sensor hierarchy, where the pixel calendar tree is recursively subdivided into tree portions according to a proportion of the sensor data attributable to each of the sensors. The pixel calendar tree can be displayed, where each of the tree portions includes time series sensor data of a corresponding region that is generated based on the sensor data. | 12-11-2014 |
20150035833 | Visual Analytics of Temporal-spatial Relationships Using a Hierarchical Pixel Calendar Tree - 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. | 02-05-2015 |