Yahoo! Inc.

Glen Anthony Ames

David Anthony Burgess

Amit Umesh Shanbhag

Joshua Ethan Miller Koran

Sundara Raman Rajagopalan

Joshua M Koran

Philip Aaronson

Nicholas Wayne Henderson

Brian T Selle

Lisa Akerman Ford

Martin Moschitz

Amit Umesh Shanbbag

A computer-implemented method, which comprises the following: aggregating a plurality of records in accordance with an aggregation specification, wherein the records are part of a dimensionally-modeled fact collection; graphically representing the records in un-aggregated form; graphically representing the records in aggregated form; and causing the graphical representation of the records to be switched between aggregated form and un-aggregated form based on a user indication.

Interactive aggregation of data on a scatter plot

A system and method to facilitate interactive selection of groupings of clusters and presentation of related datasets are described. An interactive data interface is presented to a user in a display window, the interactive data interface configured to display multiple alternate groupings of clusters associated with at least one dataset of records targeted by the user. Selection of a grouping of clusters from the plurality of selectable groupings is further facilitated based on one or more predetermined parameters associated with each grouping of clusters and the individual clusters within a respective grouping, such as, for example, a target ratio value and a target count value corresponding to each cluster of records.

System and method for facilitating interactive selection of clusters and presentation of related datasets

Methods, systems, and apparatuses for determining parking availability are described. A sensor system is configured to monitor a plurality of parking spaces. The sensor system includes at least one sensor element that generates a sensor data output signal. A parking availability determiner receives the sensor data output signal and generates parking availability information. The parking availability determiner is configured to determine from the received sensor data output signal at least one parking space of the plurality of parking spaces that is occupied, and to include an indication in the parking availability information that the determined at least one parking space is occupied. If one or more further parking space are included in the plurality of parking spaces other than the determined at least one parking space, an indication is included in the parking availability information that the further parking spaces are available for parking.

Real time detection of parking space availability

An unsupervised classification approach is improved by imposing some order into the treatment of the records and their attributes, which otherwise would be treated as random variables. A method is provided to identify particular attributes that are most associated with the 'good' records within each of the plurality of groups of records within a data set. Based on a supervised scoring method, the records of the data set are processed to indicate their measure of 'goodness'. There are various ways by which the records can be processed to indicate a bias during unsupervised clustering processing.

Automated clustering of records, biased by supervised classification processing

A portion of data records of a full input data set are imported into memory of a computer system for processing by an executing application. The full input data set includes data records of a dimensionally-modeled fact collection. An amount of the data of the full input set to import is determined based on an amount of available memory of the computer system. The sampling characteristics for sampling the full input data set are determined based on the amount of the data that can be imported and on characteristics of the full input data set and application involved. The full input data set is then sampled and a portion of the records are imported into the memory of the computer system for processing. The sampling characteristics are determined such that analysis as a result of processing by the executing application of the sampled portion of the records imported is representative of the analysis that could otherwise be carried out on the full input data set, with a calculable statistical relevance.

Determination of sampling characteristics based on available memory

Records representing items in a dimensionally-modeled fact collection are assigned to bins. A count-based portion of a user interface receives user bin assignment specification of the records based on user-specified counts of records. Actual counts for bin assignment are determined by constraining records having a same data value at a specified particular dimension to be within the same bin. A user-observable indication of the determined actual counts is provided. The user interface may include a value-based portion. The value-based portion of the user interface may be operated to receive user indication of bin assignment specification of records based on user-specified at least one value at the particular dimension. Determining actual counts includes reconciling the user indication of bin assignment specification in the count-based portion with the user indication of bin assignment specification in the value-based portion.

Visual interface to indicate custom binning of items

A computer-implemented method, which comprises the following: receiving a graphical selection of a subset of data points from a set of data points, each data point representing at least one record of a dimensionally-modeled fact collection; and exporting information associated with the selected subset of data points.

Exporting aggregated and un-aggregated data

A method for visually representing a plurality of clusters, the plurality of clusters comprising a plurality of entities with respect to a plurality of entity attributes is provided. The plurality of entities is segmented into the plurality of clusters, such that each individual entity belongs to at least one cluster. A plurality of entity data regarding the plurality of entities is processed to obtain a plurality of characteristics of each cluster of the plurality of clusters with respect to each entity attribute of the plurality of entity attributes. A visual display of the plurality of clusters with respect to the plurality of entity attributes is generated, such that for each cluster of the plurality of clusters and for each entity attribute of the plurality of entity attributes, a portion of the display represents at least two characteristics of the plurality of characteristics simultaneously for that cluster with respect to that entity attribute.

Dynamic cluster visualization

A system and method to facilitate interactive selection and presentation of datasets are described. An interactive data interface is presented to a user in a display window, said interactive data interface containing distribution of a dataset accessed by the user. A minimum range value and a maximum range value corresponding to a data range within the dataset are received, the range values being input by the user into one or more interactive areas within the data interface. Finally, display of data within the data range is further facilitated within an overlay area of the data interface disposed over the distribution of the dataset.

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Mountain View, CA, United States of America

Glen Anthony Ames