Abstract: A system includes a model generating component to generate a prediction tree model based on training data and an input component to receive input data including a destination in a geographical area. A computation component identifies at least one parking venue or at least one parking space near the destination in the geographical area and to generate at least one parking prediction corresponding to the at least one parking venue or the at least one parking space based at least in part on applying the input data to the prediction tree model. A presentation component presents the at least one parking venue or the at least one parking space and to present the at least one parking prediction to a user.

Abstract: A system includes a model generating component to generate a prediction tree model based on training data and an input component to receive input data including a destination in a geographical area. A computation component identifies at least one parking venue or at least one parking space near the destination in the geographical area and to generate at least one parking prediction corresponding to the at least one parking venue or the at least one parking space based at least in part on applying the input data to the prediction tree model. A presentation component presents the at least one parking venue or the at least one parking space and to present the at least one parking prediction to a user.

Abstract: A system includes a model generating component to generate a prediction tree model based on training data and an input component to receive input data including a destination in a geographical area. A computation component identifies at least one parking venue or at least one parking space near the destination in the geographical area and to generate at least one parking prediction corresponding to the at least one parking venue or the at least one parking space based at least in part on applying the input data to the prediction tree model. A presentation component presents the at least one parking venue or the at least one parking space and to present the at least one parking prediction to a user.

Abstract: A system includes a model generating component to generate a prediction tree model based on training data and an input component to receive input data including a destination in a geographical area. A computation component identifies at least one parking venue or at least one parking space near the destination in the geographical area and to generate at least one parking prediction corresponding to the at least one parking venue or the at least one parking space based at least in part on applying the input data to the prediction tree model. A presentation component presents the at least one parking venue or the at least one parking space and to present the at least one parking prediction to a user.

Abstract: A system includes a model generating component to generate a prediction tree model based on training data and an input component to receive input data including a destination in a geographical area. A computation component identifies at least one parking venue or at least one parking space near the destination in the geographical area and to generate at least one parking prediction corresponding to the at least one parking venue or the at least one parking space based at least in part on applying the input data to the prediction tree model. A presentation component presents the at least one parking venue or the at least one parking space and to present the at least one parking prediction to a user.

Abstract: A system includes a model generating component to generate a prediction tree model based on training data and an input component to receive input data including a destination in a geographical area. A computation component identifies at least one parking venue or at least one parking space near the destination in the geographical area and to generate at least one parking prediction corresponding to the at least one parking venue or the at least one parking space based at least in part on applying the input data to the prediction tree model. A presentation component presents the at least one parking venue or the at least one parking space and to present the at least one parking prediction to a user.

Abstract: A system includes a model generating component to generate a prediction tree model based on training data and an input component to receive input data including a destination in a geographical area. A computation component identifies at least one parking venue or at least one parking space near the destination in the geographical area and to generate at least one parking prediction corresponding to the at least one parking venue or the at least one parking space based at least in part on applying the input data to the prediction tree model. A presentation component presents the at least one parking venue or the at least one parking space and to present the at least one parking prediction to a user.

Abstract: A system includes a model generating component to generate a prediction tree model based on training data and an input component to receive input data including a destination in a geographical area. A computation component identifies at least one parking venue or at least one parking space near the destination in the geographical area and to generate at least one parking prediction corresponding to the at least one parking venue or the at least one parking space based at least in part on applying the input data to the prediction tree model. A presentation component presents the at least one parking venue or the at least one parking space and to present the at least one parking prediction to a user.

Abstract: Providing machine-generated travel directions with customized augmentations to enhance the navigation process. To provide machine-generated travel directions, a user submitted starting location, destination location, and meta-data associated with the user is used to generate a route between the starting location and destination location Annotations to the route are derived based on the meta-data associated with the user or characteristics associated with the route. The annotations are then ranked according to a determined priority. The route generated between the starting location and the destination location, and augmented with the ranked annotations, is displayed to the user.

Abstract: Providing machine-generated travel directions with customized augmentations to enhance the navigation process. To provide machine-generated travel directions, a user submitted starting location, destination location, and meta-data associated with the user is used to generate a route between the starting location and destination location Annotations to the route are derived based on the meta-data associated with the user or characteristics associated with the route. The annotations are then ranked according to a determined priority. The route generated between the starting location and the destination location, and augmented with the ranked annotations, is displayed to the user.

Abstract: A formatting object according to the present invention conveys information to the reader of a document (such as a table or chart) by associating visual attributes (such as color, fill type, border width, line width, line style, font size, marker size and marker type) to characters or markers within the document. The formatting object may be used to emphasize data within a table or a chart by modifying the structural visual attributes of characters or markers within the table or chart according to pre-defined criteria. Similarly, the formatting object may be used to increase information density within a table or chart, and to elegantly represent the relationships between four or more interrelated variables in a two-dimensional chart. The formatting object accomplishes this by defining at least one format map that comprises one or more mapping segments.

Abstract: A drag-and-drop user interface (DDUI) can generate multiple charts in an integrated chart report and supports the drag-and-drop method of adding fields to the integrated chart report. When a field is dropped from a field list into a multiple chart drop zone, the DDUI will automatically generate additional charts to represent the data in the dropped field. An additional chart will be generated for each unique entry in a data field. The number of charts can be modified by selecting particular elements in the dropped field, by means of a drop-down menu. The drop-down menu enables the elimination or addition of elements of the dropped field. Each additional field dropped into the multiple chart drop zone will add a chart to the chart report. Conversely, each field dragged out of the multiple chart drop zone will eliminate a chart from the chart report. The DDUI can accommodate various chart types.

Abstract: A formatting object according to the present invention conveys information to the reader of a document (such as a table or chart) by associating visual attributes (such as color, fill type, border width, line width, line style, font size, marker size and marker type) to characters or markers within the document. The formatting object may be used to emphasize data within a table or a chart by modifying the structural visual attributes of characters or markers within the table or chart according to pre-defined criteria. Similarly, the formatting object may be used to increase information density within a table or chart, and to elegantly represent the relationships between four or more interrelated variables in a two-dimensional chart. The formatting object accomplishes this by defining at least one format map that comprises one or more mapping segments.

Abstract: A formatting object according to the present invention conveys information to the reader of a document (such as a table or chart) by associating visual attributes (such as color, fill type, border width, line width, line style, font size, marker size and marker type) to characters or markers within the document. The formatting object may be used to emphasize data within a table or a chart by modifying the structural visual attributes of characters or markers within the table or chart according to pre-defined criteria. Similarly, the formatting object may be used to increase information density within a table or chart, and to elegantly represent the relationships between four or more interrelated variables in a two-dimensional chart. The formatting object accomplishes this by defining at least one format map that comprises one or more mapping segments.

Abstract: A drag-and-drop user interface (DDUI) can generate multiple charts in an integrated chart report and supports the drag-and-drop method of adding fields to the integrated chart report. When a field is dropped from a field list into a multiple chart drop zone, the DDUI will automatically generate additional charts to represent the data in the dropped field. An additional chart will be generated for each unique entry in a data field. The number of charts can be modified by selecting particular elements in the dropped field, by means of a drop-down menu. The drop-down menu enables the elimination or addition of elements of the dropped field. Each additional field dropped into the multiple chart drop zone will add a chart to the chart report. Conversely, each field dragged out of the multiple chart drop zone will eliminate a chart from the chart report. The DDUI can accommodate various chart types.

Abstract: A drag-and-drop user interface (DDUI) can generate multiple charts in an integrated chart report and supports the drag-and-drop method of adding fields to the integrated chart report. When a field is dropped from a field list into a multiple chart drop zone, the DDUI will automatically generate additional charts to represent the data in the dropped field. An additional chart will be generated for each unique entry in a data field. The number of charts can be modified by selecting particular elements in the dropped field, by means of a drop-down menu. The drop-down menu enables the elimination or addition of elements of the dropped field. Each additional field dropped into the multiple chart drop zone will add a chart to the chart report. Conversely, each field dragged out of the multiple chart drop zone will eliminate a chart from the chart report. The DDUI can accommodate various chart types.

Abstract: A formatting object according to the present invention conveys information to the reader of a document (such as a table or chart) by associating visual attributes (such as color, fill type, border width, line width, line style, font size, marker size and marker type) to characters or markers within the document. The formatting object may be used to emphasize data within a table or a chart by modifying the structural visual attributes of characters or markers within the table or chart according to pre-defined criteria. Similarly, the formatting object may be used to increase information density within a table or chart, and to elegantly represent the relationships between four or more interrelated variables in a two-dimensional chart. The formatting object accomplishes this by defining at least one format map that comprises one or more mapping segments.

Abstract: A formatting object according to the present invention conveys information to the reader of a document (such as a table or chart) by associating visual attributes (such as color, fill type, border width, line width, line style, font size, marker size and marker type) to characters or markers within the document. The formatting object may be used to emphasize data within a table or a chart by modifying the structural visual attributes of characters or markers within the table or chart according to pre-defined criteria. Similarly, the formatting object may be used to increase information density within a table or chart, and to elegantly represent the relationships between four or more interrelated variables in a two-dimensional chart. The formatting object accomplishes this by defining at least one format map that comprises one or more mapping segments.

Abstract: A drag-and-drop user interface (DDUI) can generate multiple charts in an integrated chart report and supports the drag-and-drop method of adding fields to the integrated chart report. When a field is dropped from a field list into a multiple chart drop zone, the DDUI will automatically generate additional charts to represent the data in the dropped field. An additional chart will be generated for each unique entry in a data field. The number of charts can be modified by selecting particular elements in the dropped field, by means of a drop-down menu. The drop-down menu enables the elimination or addition of elements of the dropped field. Each additional field dropped into the multiple chart drop zone will add a chart to the chart report. Conversely, each field dragged out of the multiple chart drop zone will eliminate a chart from the chart report. The DDUI can accommodate various chart types.