Abstract: A method, system and computer program product are disclosed for searching for data. In one embodiment, the invention provides a method comprising identifying a query and a search scope including a set of specified entities; and for each of these entities, estimating a number of documents that would be identified in a search through the entity to answer the query. On the basis of this estimating, a subset of the entities is formed. The query and this subset of entities are sent to a search engine to search the subset of entities to answer the query. In one embodiment, the estimating includes collecting statistical information from queries to build up a historical cache using heuristics or machine learning techniques, wherein the query includes a key word and a scope, and the historical cache contains a maximum number of returned results for an entity given the queries executed.

Abstract: A method, system and computer program product are disclosed for searching for data. In one embodiment, the invention provides a method comprising identifying a query and a search scope including a set of specified entities; and for each of these entities, estimating a number of documents that would be identified in a search through the entity to answer the query. On the basis of this estimating, a subset of the entities is formed. The query and this subset of entities are sent to a search engine to search the subset of entities to answer the query. In one embodiment, the estimating includes collecting statistical information from queries to build up a historical cache using heuristics or machine learning techniques, wherein the query includes a key word and a scope, and the historical cache contains a maximum number of returned results for an entity given the queries executed.

Abstract: A method, system and computer program product are disclosed for searching for data. In one embodiment, the invention provides a method comprising identifying a query and a search scope including a set of specified entities; and for each of these entities, estimating a number of documents that would be identified in a search through the entity to answer the query. On the basis of this estimating, a subset of the entities is formed. The query and this subset of entities are sent to a search engine to search the subset of entities to answer the query. In one embodiment, the estimating includes collecting statistical information from queries to build up a historical cache using heuristics or machine learning techniques, wherein the query includes a key word and a scope, and the historical cache contains a maximum number of returned results for an entity given the queries executed.

Abstract: A method, system, and computer program product are disclosed for merging search results. In one embodiment, the method comprises identifying a query, splitting the query into sub-queries, and calculating information content for each of the sub-queries. This method also comprises executing each of the sub-queries to obtain a plurality of search results, and combining the search results based on the information content calculated for the sub-queries. In an embodiment, the execution of each of the sub-queries includes identifying a multitude of search results for at least one of the sub-queries; and the combining includes grouping said multitude of search results into a plurality of clusters, and computing a relevance score for each of said clusters. In the embodiment the combining further includes merging the clusters based on the relevance scores computed for the clusters as well as the information content calculated for the sub-queries.

Abstract: A method and system for prioritizing accounts is provided. The method includes receiving operational metrics and data values associated with the operational metrics. The data values are aggregated and noisy data is removed from the operational metrics. Statistical averages associated with a performance of accounts are calculated and each account is modeled as a collection of operational performance variables and key performance indicators A ranking list is generated and a minimum number of independent operational parameters necessary are calculated. Pairwise ranks {r} of the accounts are calculated and values associated with a tolerance limit epsilon and selected.

Abstract: A method, system, and computer program product are disclosed for merging search results. In one embodiment, the method comprises identifying a query, splitting the query into sub-queries, and calculating information content for each of the sub-queries. This method also comprises executing each of the sub-queries to obtain a plurality of search results, and combining the search results based on the information content calculated for the sub-queries. In an embodiment, the execution of each of the sub-queries includes identifying a multitude of search results for at least one of the sub-queries; and the combining includes grouping said multitude of search results into a plurality of clusters, and computing a relevance score for each of said clusters. In the embodiment the combining further includes merging the clusters based on the relevance scores computed for the clusters as well as the information content calculated for the sub-queries.

Abstract: A method, system, and computer program product are disclosed for merging search results. In one embodiment, the method comprises identifying a query, splitting the query into sub-queries, and calculating information content for each of the sub-queries. This method also comprises executing each of the sub-queries to obtain a plurality of search results, and combining the search results based on the information content calculated for the sub-queries. In an embodiment, the execution of each of the sub-queries includes identifying a multitude of search results for at least one of the sub-queries; and the combining includes grouping said multitude of search results into a plurality of clusters, and computing a relevance score for each of said clusters. In the embodiment the combining further includes merging the clusters based on the relevance scores computed for the clusters as well as the information content calculated for the sub-queries.

Abstract: A method, system and computer program product are disclosed for searching for data. In one embodiment, the invention provides a method comprising identifying a query and a search scope including a set of specified entities; and for each of these entities, estimating a number of documents that would be identified in a search through the entity to answer the query. On the basis of this estimating, a subset of the entities is formed. The query and this subset of entities are sent to a search engine to search the subset of entities to answer the query. In one embodiment, the estimating includes collecting statistical information from queries to build up a historical cache using heuristics or machine learning techniques, wherein the query includes a key word and a scope, and the historical cache contains a maximum number of returned results for an entity given the queries executed.

Abstract: Techniques for providing at least one user access to one or more documents in a collaborative computing environment in accordance with a search engine are provided. The user is presented with search results, wherein the search results comprise at least one document comprising at least one portion to which the user has no access. A request from the user for access to the at least one document is received. A supervising entity is then notified of the user request to access the at least one document. An instruction from the supervising entity is then received. In accordance with the received instruction, the user is granted access to the at least one document.

Abstract: Methods and arrangements for creating and managing commercial insights in waste management. Codes of discarded products which enter a receptacle bin are scanned. There are provided, to an external entity, data relating to discarding of the products, the data including spatial location data and at least one of: temporal data relating to the discarding of the products, and product-specific data. Other variants and embodiments are broadly contemplated herein.

Abstract: A method, system and computer program product are disclosed for searching for data. In one embodiment, the invention provides a method comprising identifying a query and a search scope including a set of specified entities; and for each of these entities, estimating a number of documents that would be identified in a search through the entity to answer the query. On the basis of this estimating, a subset of the entities is formed. The query and this subset of entities are sent to a search engine to search the subset of entities to answer the query. In one embodiment, the estimating includes collecting statistical information from queries to build up a historical cache using heuristics or machine learning techniques, wherein the query includes a key word and a scope, and the historical cache contains a maximum number of returned results for an entity given the queries executed.

Abstract: One embodiment of the present method and apparatus for performance and policy analysis in distributed computing systems includes representing a distributed computing system as a state transition model. A queuing network is then superimposed upon the state transition model, and the effects of one or more policies on the distributed computing system performance are identified in accordance with a solution to the queuing network.

Abstract: A method, system and computer program product are disclosed for searching for data. In one embodiment, the invention provides a method comprising identifying a query and a search scope including a set of specified entities; and for each of these entities, estimating a number of documents that would be identified in a search through the entity to answer the query. On the basis of this estimating, a subset of the entities is formed. The query and this subset of entities are sent to a search engine to search the subset of entities to answer the query. In one embodiment, the estimating includes collecting statistical information from queries to build up a historical cache using heuristics or machine learning techniques, wherein the query includes a key word and a scope, and the historical cache contains a maximum number of returned results for an entity given the queries executed.

Abstract: Methods and arrangements for gathering and managing crowd-sourced information. An event is identified using crowd-sourced information, and component parts of the event are identified using the crowd-sourced information. Information missing from the event is identified using the crowd-sourced information. Individuals associated with the event are identified, and additional crowd-sourced information on the event is harvested from the individuals.

Abstract: A method and system for prioritizing accounts is provided. The method includes receiving operational metrics and data values associated with the operational metrics. The data values are aggregated and noisy data is removed from the operational metrics. Statistical averages associated with a performance of accounts are calculated and each account is modeled as a collection of operational performance variables and key performance indicators A ranking list is generated and a minimum number of independent operational parameters necessary are calculated. Pairwise ranks {r} of the accounts are calculated and values associated with a tolerance limit epsilon and selected.

Abstract: A system for prioritizing accounts is provided. The method includes receiving operational metrics and data values associated with the operational metrics. The data values are aggregated and noisy data is removed from the operational metrics. Statistical averages associated with a performance of accounts are calculated and each account is modeled as a collection of operational performance variables and key performance indicators A ranking list is generated and a minimum number of independent operational parameters necessary are calculated. Pair wise ranks {r} of the accounts are calculated and values associated with a tolerance limit epsilon and selected.

Abstract: A method and system for prioritizing accounts is provided. The method includes receiving operational metrics and data values associated with the operational metrics. The data values are aggregated and noisy data is removed from the operational metrics. Statistical averages associated with a performance of accounts are calculated and each account is modeled as a collection of operational performance variables and key performance indicators A ranking list is generated and a minimum number of independent operational parameters necessary are calculated. Pairwise ranks {r} of the accounts are calculated and values associated with a tolerance limit epsilon and selected.

Abstract: One embodiment of the present method and apparatus for performance and policy analysis in distributed computing systems includes representing a distributed computing system as a state transition model. A queuing network is then superimposed upon the state transition model, and the effects of one or more policies on the distributed computing system performance are identified in accordance with a solution to the queuing network.

Abstract: One embodiment of the present method and apparatus for performance and policy analysis in distributed computing systems includes representing a distributed computing system as a state transition model. A queuing network is then superimposed upon the state transition model, and the effects of one or more policies on the distributed computing system performance are identified in accordance with a solution to the queuing network.

Abstract: A method, system, and computer program product are disclosed for merging search results. In one embodiment, the method comprises identifying a query, splitting the query into sub-queries, and calculating information content for each of the sub-queries. This method also comprises executing each of the sub-queries to obtain a plurality of search results, and combining the search results based on the information content calculated for the sub-queries. In an embodiment, the execution of each of the sub-queries includes identifying a multitude of search results for at least one of the sub-queries; and the combining includes grouping said multitude of search results into a plurality of clusters, and computing a relevance score for each of said clusters. In the embodiment the combining further includes merging the clusters based on the relevance scores computed for the clusters as well as the information content calculated for the sub-queries.