摘要:
Techniques for making shopping recommendations based on a user's social ties to friends and family are provided. In one aspect, a method for making shopping recommendations is provided. The method includes the steps of: collecting shopping data from users, wherein the users comprise a first user and one or more second users with social ties to the first user; and making recommendations to the first user based on the shopping data while the first user is shopping at a store, wherein the recommendations include preferences of the second users with social ties to the first user. A system for making shopping recommendations is also provided.
摘要:
A method and system are provided. The method includes defining an application manifest that describes a computing solution for transfer from a cloud site to an on-premises computing appliance at a given premises. The computing solution is executable for a dataset resident at the given premises. The method further includes defining a characterization of a local premises environment in which the computing solution will be executed. The method also includes modifying the application manifest using the characterization of the local premises environment by at least one of adding, removing and modifying at least one component of the application manifest to provide a modified application manifest. The method additionally includes installing the computing solution in a computing appliance at the local premises environment according to the modified application manifest. The computing appliance is for executing the computing solution.
摘要:
A data mining method, system, and non-transitory computer readable medium, include defining a set of filter constraints as a filter function for clustering users' private records of data of a private domain, selecting a subset of users' public records of data from a filtered set of data from a public domain that is common with the users' private records of data, and creating a data file including the matched user of the private domain to the public records of the user of the private domain, where the set of the filter constraints comprises a function that captures the subset of the users' public records of data who are of interest to the private domain, and only performs data mining with that set of information from the public domain.
摘要:
A computing system for learning a device type and message formats used by a device is provided. The computing system includes an interface and a processor. The interface is receptive of documents describing identification information and communication and application protocols of devices. The processor is coupled with the interface to obtain rules of network packet analysis using document analytics and identify identification information and communication and application protocols of network messages from devices using the rules.
摘要:
A data mining method, system, and non-transitory computer readable medium, include defining a set of filter constraints as a filter function for clustering users' private records of data of a private domain, obtaining a set of data from a public domain by applying the filter function to users' public records of data of the public domain, selecting a subset of the users' public records of data that is common with the users' private records of data, and performing data mining on the selected subset of the users' public records of data in combination with the users' private records of data to match a user of the private domain to public records of the user of the private domain.
摘要:
A data mining method, system, and non-transitory computer readable medium, include defining a set of filter constraints as a filter function for clustering users' private records of data of a private domain, obtaining a set of data from a public domain by applying the filter function to users' public records of data of the public domain, selecting a subset of the users' public records of data that is common with the users' private records of data, and performing data mining on the selected subset of the users' public records of data in combination with the users' private records of data to match a user of the private domain to public records of the user of the private domain.
摘要:
A method and system are provided. The method includes identifying a set of applications compatible with a set of data. The applications and the data are untagged by corresponding metadata. The identifying step includes executing, by an execution platform, at least some of the applications in the set against at least some of the data in the set. The identifying step further includes analyzing, by a log analyzer, execution logs for executions of the at least some of the applications against the at least some of the data. The identifying step also includes indicating, by the log analyzer, a compatibility of the at least some of the applications to the at least some of the data by detecting compatibility relevant errors using the execution logs.
摘要:
A data mining method, system, and non-transitory computer readable medium include obtaining a subset of public records of data in a public domain and performing data mining, via private domain data, within the subset of the public records of data to find data in the public domain corresponding to a particular individual.
摘要:
A data mining method, system, and non-transitory computer readable medium, include defining a set of filter constraints as a filter function for clustering users' private records of data of a private domain, selecting a subset of users' public records of data from a filtered set of data from a public domain that is common with the users' private records of data, and creating a data file including the matched user of the private domain to the public records of the user of the private domain, where the set of the filter constraints comprises a function that captures the subset of the users' public records of data who are of interest to the private domain, and only performs data mining with that set of information from the public domain.
摘要:
A provenance method, system, and non-transitory computer readable medium for a plurality of eidetic systems having logs, include a log-segment clustering circuit configured to crawl the logs of each of the eidetic systems to cluster segments across the logs of temporally correlated events into clustered segments, a probabilistic interleaving circuit configured to analyze the correlated segments to interleave an order of processes in the logs and assign a probability to the order of the processes occurring, and a probabilistic linearization circuit configured to create a probability tree which includes a total probability that a process in the clustered segments causes a next process in the clustered segments until an end of the temporal event of the clustered segments for each of the interleaved order of processes interleaved by the probabilistic interleaving circuit.