Abstract: A system for storing time series data includes an ingester that prepares metadata indices associated with blocks of incoming time series data and stores the blocks of data in a time series database and the indices in a separate index database. The time series database distributes storage of the data blocks among multiple data nodes. A query layer receives queries and uses the index database to determine which data blocks are needed to process the query, and then requests only those data blocks from the time series database. Processing of the query is performed within the time series database only on those data nodes that contain relevant data, and partial results are passed to an output layer for formation into a final query result.

Abstract: A system for storing time series data includes an ingester that prepares metadata indices associated with blocks of incoming time series data and stores the blocks of data in a time series database and the indices in a separate index database. The time series database distributes storage of the data blocks among multiple data nodes. A query layer receives queries and uses the index database to determine which data blocks are needed to process the query, and then requests only those data blocks from the time series database. Processing of the query is performed within the time series database only on those data nodes that contain relevant data, and partial results are passed to an output layer for formation into a final query result.

Abstract: A method for performing queries on a distributed time series data storage system is presented. The time series data storage system has a time series database that stores data blocks containing time stamped data across a plurality of computing devices. The system also includes an index database that stores an index associated with the time stamped data in each data block. The method includes the steps of sending a query, requesting indices, returning the indices, preparing a sub-query, forwarding the sub-query to an evaluator, evaluating the sub-query, performing a logical operation on each sub-query's result, receiving the sub-results at an output handler, and combining the sub-results.

Abstract: A system for storing time series data includes an ingester that prepares metadata indices associated with blocks of incoming time series data and stores the blocks of data in a time series database and the indices in a separate index database. The time series database distributes storage of the data blocks among multiple data nodes. A query layer receives queries and uses the index database to determine which data blocks are needed to process the query, and then requests only those data blocks from the time series database. Processing of the query is performed within the time series database only on those data nodes that contain relevant data, and partial results are passed to an output layer for formation into a final query result.

Abstract: A service for storing time series data provides a data pipe for receiving time series data, a query pipe for making requests to the service, and a result pipe for receiving output from the service. Data sent to the query pipe is processed by an ingester that prepares metadata indices associated with blocks of incoming time series data and stores the blocks of data in a time series database and the indices in a separate index database. A query layer receives queries from the query pipe and uses the index database to determine which data blocks are needed to process the query, and then requests only those data blocks from the time series database. Processing of the query is performed within the time series database only on those data nodes that contain relevant data, and partial results are passed to an output layer for formation into a final query result which is sent out by the results pipe.

Abstract: A system for storing time series data includes an ingester that prepares metadata indices associated with blocks of incoming time series data and stores the blocks of data in a time series database and the indices in a separate index database. The time series database distributes storage of the data blocks among multiple data nodes. A query layer receives queries and uses the index database to determine which data blocks are needed to process the query, and then requests only those data blocks from the time series database. Processing of the query is performed within the time series database only on those data nodes that contain relevant data, and partial results are passed to an output layer for formation into a final query result.

Abstract: A method for performing queries on a distributed time series data storage system is presented. The time series data storage system has a time series database that stores data blocks containing time stamped data across a plurality of computing devices. The system also includes an index database that stores an index associated with the time stamped data in each data block. The method includes the steps of sending a query, requesting indices, returning the indices, preparing a sub-query, forwarding the sub-query to an evaluator, evaluating the sub-query, performing a logical operation on each sub-query's result, receiving the sub-results at an output handler, and combining the sub-results.

Abstract: A service for storing time series data provides a data pipe for receiving time series data, a query pipe for making requests to the service, and a result pipe for receiving output from the service. Data sent to the query pipe is processed by an ingester that prepares metadata indices associated with blocks of incoming time series data and stores the blocks of data in a time series database and the indices in a separate index database. A query layer receives queries from the query pipe and uses the index database to determine which data blocks are needed to process the query, and then requests only those data blocks from the time series database. Processing of the query is performed within the time series database only on those data nodes that contain relevant data, and partial results are passed to an output layer for formation into a final query result which is sent out by the results pipe.

Abstract: A multi-agent system is provided for automatically acquiring desired information from one or more information sources. The multi-agent system includes a plurality of data provider filter agents associated with the one or more information sources. The data provider filter agents are configured to search for the desired information within the respective information sources based on an assessment of the one or more information sources. The multi-agent system also includes a content extraction agent configured to acquire a plurality of articles containing the desired information from the one or more information sources based on the search.

Abstract: A technique for detecting anomalous values in a small set of financial metrics makes use of context data that is determined based upon the characteristics of the target company being evaluated. Context data is selected to represent the historical values of the financial metric for the target company or the simultaneous performance of peer companies. Using the context data, an anomaly score for the financial metric is calculated representing the degree to which the value of the financial metric is an outlier among the context data. This can be done using an exceptional statistical technique. The anomaly score can be used to evaluate the risks associated with business transactions related to the target company.

Abstract: A method of identifying a set of entities based on a pattern of interest is provided. The method includes identifying a reference entity and identifying one or more alert categories indicative of a pattern of interest in the reference entity over a time period of interest. The method further comprises determining a matching percentage of the pattern of interest exhibited by the reference entity, in one or more entities comprising the set of entities based on the one or more alert categories. The method further comprises identifying one or more of the entities comprising the set of entities that exhibit one or more of the patterns of interest exhibited by the reference entity, based on the matching percentage.

Abstract: A method for determining whether an operational metric representing the performance of a target machine has an anomalous value is provided. The method includes collecting operational data from at least one machine, and calculating at least one exceptional anomaly score from the obtained operational data.

Abstract: A virtual market system is used to rank-order answers to an open-ended question. A virtual market on which participants can trade securities representing answers to the open-ended question is used to gather information from the participants regarding each answer. Additional securities representing additional answers to the question may be added during the trading period, allowing for the answers to the question to evolve over the operation of the market.

Abstract: Certain embodiments of the present invention provide methods and system for gathering feedback regarding clinical software features and/or functionality in a virtual market model. Certain embodiments include allowing one or more authorized users to submit one or more clinical software items for trading in a virtual market; facilitating trading of the one or more clinical software items by one or more authorized users via the virtual market; and generating feedback regarding the one or more clinical software items based on trading data. Certain embodiments include a virtual market facilitating trading of one or more clinical software items by one or more users and a user interface allowing a user to submit one or more software items for trading via the virtual market and allowing a user to trade shares of one or more clinical software items to indicate an opinion regarding one or more clinical software items.

Abstract: A virtual market system is used to rank-order answers to an open-ended question. A virtual market on which participants can trade securities representing answers to the open-ended question is used to gather information from the participants regarding each answer. Answers to be traded on the market may be provided by the participants, allowing for opinions to be expressed not only as to the relative worth of the securities on the market, but also as to which securities should be on the market.

Abstract: A multi-agent system is provided for automatically acquiring desired information from one or more information sources. The multi-agent system includes a plurality of data provider filter agents associated with the one or more information sources. The data provider filter agents are configured to search for the desired information within the respective information sources based on an assessment of the one or more information sources. The multi-agent system also includes a content extraction agent configured to acquire a plurality of articles containing the desired information from the one or more information sources based on the search.

Abstract: A technique is provided for acquiring desired information from one or more information sources. The technique includes assessing the one or more information sources for the desired information, searching for the desired information within the one or more information sources based on the assessment, and automatically acquiring the desired information based on the search.

Abstract: System, method and computer product to detect behavioral patterns related to the financial health of a business entity. In this invention, financial data and business data that relate to the business entity is extracted from various data sources. The financial data comprises quantitative financial data and/or qualitative financial data. The business data comprises quantitative business data and/or qualitative business data. The quantitative financial and business data is analyzed using a financial anomaly detection technique to detect the behavioral patterns associated with the business entity.