Abstract: Clusters of log lines are identified based on log line templates. The log line templates are based on a punctuality pattern for a log line. Clusters of log lines that match each punctuality pattern can be identified based on comparisons between the log lines. The comparison may determine the similarity of the log lines and ultimately identify whether the log lines are close enough to be clustered. The comparison may be based on generated n-grams for the log lines and performing a hash on the n-grams. The resulting cluster information may be communicated to a user in an interface.

Abstract: Methods and systems relating to a reseller analysis tool are described. In some embodiments, transaction information associated with a plurality of transactions occurring using a server system is received at the server system. A set of currently pending or completed resale transactions from the plurality of transactions is identified using the transaction information based on resale criteria capable of indicating a sale of an item by an entity that previously purchased the item. A set of rules associated with resale transactions is generated, including generating the set of rules based on the transaction information associated with the set of resale transactions. Based on the set of rules, user transaction information relevant to a currently pending transaction associated with a user is provided.

Abstract: Methods and systems relating to a reseller analysis tool are described. In some embodiments, electronic commerce transaction information associated with a plurality of electronic commerce transactions occurring using an electronic commerce system is received at the electronic commerce system. A set of resale transactions from the plurality of electronic commerce transactions is identified using the electronic commerce transaction information, including identifying the set of resale transactions based on resale criteria capable of indicating a sale of an item by an entity that previously purchased the item using the electronic commerce transaction system. A set of rules associated with resale transactions is generated, including generating the set of rules based on the electronic commerce transaction information associated with the set of resale transactions. Based on the set of rules, user transaction information relevant to a transaction associated with a user is provided.

Abstract: A system that utilizes a plurality of time series of metric data to more accurately detect anomalies and model and predict metric values. Streams of time series metric data are processed to generate a set of independent metrics. In some instances, the present system may automatically analyze thousands of real-time streams. Advanced machine learning and statistical techniques are used to automatically find anomalies and outliers from the independent metrics by learning latent and hidden patterns in the metrics. The trends of each metric may also be analyzed and the trends for each characteristic may be learned. The system can automatically detect latent and hidden patterns of metrics including weekly, daily, holiday and other application specific patterns. Anomaly detection is important to maintaining system health and predicted values are important for customers to monitor and make planning and decisions in a principled and quantitative way.

Abstract: A system that utilizes a plurality of time series of metric data to more accurately detect anomalies and model and predict metric values. Streams of time series metric data are processed to generate a set of independent metrics. In some instances, the present system may automatically analyze thousands of real-time streams. Advanced machine learning and statistical techniques are used to automatically find anomalies and outliers from the independent metrics by learning latent and hidden patterns in the metrics. The trends of each metric may also be analyzed and the trends for each characteristic may be learned. The system can automatically detect latent and hidden patterns of metrics including weekly, daily, holiday and other application specific patterns. Anomaly detection is important to maintaining system health and predicted values are important for customers to monitor and make planning and decisions in a principled and quantitative way.

Abstract: A method, system and article of manufacture for determining a global hierarchy of an entity by computing subjective coherence strength between nodes of first members of a social network service, computing objective entanglement strength between nodes of second members of the social network service, using subjective coherence strength and objective entanglement strength, compute the pairwise latent relationship probabilities between different ones of the nodes of the social network service, and using the pairwise relationship probabilities, compute the global hierarchy relationship.

Abstract: A method, system and article of manufacture for determining a global hierarchy of an entity by computing subjective coherence strength between nodes of first members of a social network service, computing objective entanglement strength between nodes of second members of the social network service, using subjective coherence strength and objective entanglement strength, compute the pairwise latent relationship probabilities between different ones of the nodes of the social network service, and using the pairwise relationship probabilities, compute the global hierarchy relationship.

Abstract: A method, system and article of manufacture for determining a global hierarchy of an entity by computing subjective coherence strength between nodes of first members of a social network service, computing objective entanglement strength between nodes of second members of the social network service, using subjective coherence strength and objective entanglement strength, compute the pairwise latent relationship probabilities between different ones of the nodes of the social network service, and using the pairwise relationship probabilities, compute the global hierarchy relationship.

Abstract: A method, system and article of manufacture for determining a global hierarchy of an entity by computing subjective coherence strength between nodes of first members of a social network service, computing objective entanglement strength between nodes of second members of the social network service, using subjective coherence strength and objective entanglement strength, compute the pairwise latent relationship probabilities between different ones of the nodes of the social network service, and using the pairwise relationship probabilities, compute the global hierarchy relationship.

Abstract: Methods and systems relating to a reseller analysis tool are described. In some embodiments, electronic commerce transaction information associated with a plurality of electronic commerce transactions occurring using an electronic commerce system is received at the electronic commerce system. A set of resale transactions from the plurality of electronic commerce transactions is identified using the electronic commerce transaction information, including identifying the set of resale transactions based on resale criteria capable of indicating a sale of an item by an entity that previously purchased the item using the electronic commerce transaction system. A set of rules associated with resale transactions is generated, including generating the set of rules based on the electronic commerce transaction information associated with the set of resale transactions. Based on the set of rules, user transaction information relevant to a transaction associated with a user is provided.