Quest Software Inc.

Inxight Software, Inc.

Dell Software Inc.

Sap America, Inc.

Mark William Davis

Shree A Dandekar

John Murphy

Clark Leonard Breyman

Paul Grant Carter

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.

Systems and methods for dynamic compression of time-series data

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.

Dynamically optimizing data access patterns using predictive crowdsourcing

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.

Systems and methods for optimized database sampling

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.

Method and apparatus to extrapolate sarcasm and irony using multi-dimensional machine learning based linguistic analysis

In one embodiment, a method includes receiving a request for data visualization. The request specifies input data, at least one user query, and a data-visualization type. The method further includes inferring at least one additional query based on a user-interface (UI) range of freedom associated with the request. In addition, the method includes causing a map-reduce framework to process the input data according to the at least one user query and the at least one additional query. The causing yields resultant data. Further, the method includes storing in a cache a portion of the resultant data that relates to the at least one additional query. The method also includes generating the requested data visualization based on a portion of the resultant data that relates to the at least one user query.

System and method for facilitating data visualization via a map-reduce framework

The present invention includes a method and device for detecting duplicate documents by triangulation. Particular aspects of the present invention are described in the claims, specification and drawings.

Method and apparatus for duplicate detection

The present invention includes methods and systems to audit and identify potential errors and/or omissions in a training set. Particular aspects of the present invention are described in the claims, specification and drawings.

Method and apparatus for auditing training supersets

Disclosed are methods and for incrementally updating the accuracy provided by documents in training set of used for automatic categorization. A k-nearest neighbor database includes the documents in the training set, categories, category assignments of the documents and category scores for the documents. A list made up of the nearest neighbors of the documents and corresponding similarity scores contains is maintained by the method. On adding or deleting documents or category assignments, the documents influenced by the changed documents or category assignments are identified. The category scores of the identified documents are updated to be consistent for the updated training set and a new precision and recall curves are computed for the categories including updated category scores. The precision and recall curves may be used to determine an optimal number of documents to maximize the return of relevant documents while minimizing the total number of documents.

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Tracy, CA, United States of America

Mark William Davis