Abstract: Embodiments of the present invention relate to methods, systems, and computer program products for event management. In a method, a plurality of notes that are comprised in a plurality of event records are obtained in a computer system. A plurality of paragraphs that are comprised in the plurality of notes are classified into a plurality of content types based on a content analysis of the plurality of paragraphs. The plurality of notes are classified into a plurality of semantic types based on the plurality of content types and a syntactic parsing to the plurality of notes. A knowledge item is generated for managing an event in the computer system based on a group of notes in the plurality of notes that are classified into the plurality of semantic types. With these embodiments, knowledge items for managing events may be obtained in an easier and more effective way.

Abstract: Embodiments of the present invention relate to methods, systems, and computer program products for event management. In a method, a plurality of notes that are comprised in a plurality of event records are obtained in a computer system. A plurality of paragraphs that are comprised in the plurality of notes are classified into a plurality of content types based on a content analysis of the plurality of paragraphs. The plurality of notes are classified into a plurality of semantic types based on the plurality of content types and a syntactic parsing to the plurality of notes. A knowledge item is generated for managing an event in the computer system based on a group of notes in the plurality of notes that are classified into the plurality of semantic types. With these embodiments, knowledge items for managing events may be obtained in an easier and more effective way.

Abstract: Techniques for monitoring and analysis of interactions between network endpoints are disclosed. In some embodiments, a process for monitoring and analysis of interactions between network endpoints includes collecting Domain Name System (DNS) response data from a network device; determining network endpoint interactions based on an analysis of the DNS response data (e.g., using a processor); and generating a graph corresponding to the network endpoint interactions. For example, the network device can include a DNS device and/or a software-defined networking (SDN) device (e.g., an SDN switch, such as an OpenFlow switch).

Abstract: Techniques for monitoring and analysis of interactions between network endpoints are disclosed. In some embodiments, a process for monitoring and analysis of interactions between network endpoints includes collecting Domain Name System (DNS) response data from a network device; determining network endpoint interactions based on an analysis of the DNS response data (e.g., using a processor); and generating a graph corresponding to the network endpoint interactions. For example, the network device can include a DNS device and/or a software-defined networking (SDN) device (e.g., an SDN switch, such as an OpenFlow switch).

Abstract: Techniques for monitoring and analysis of interactions between network endpoints are disclosed. In some embodiments, a process for monitoring and analysis of interactions between network endpoints includes collecting Domain Name System (DNS) response data from a network device; determining network endpoint interactions based on an analysis of the DNS response data (e.g., using a processor); and generating a graph corresponding to the network endpoint interactions. For example, the network device can include a DNS device and/or a software-defined networking (SDN) device (e.g., an SDN switch, such as an OpenFlow switch).

Abstract: Techniques described herein may be used to implement an intelligent network analytics architecture (INAA) capable of monitoring a network in real-time and detecting faults occurring in the network. The INAA may develop and implement solutions to the problems, and subsequently verify that the solutions actually fixed the problems. The INAA may cause the solutions to be implemented throughout the network (and not just at the source of the initial problem). The INAA may identify other aspects of the network that are likely to experience similar (though not the same) problems in the future, develop solutions to those problems, and implement the solutions throughout the network. The INAA may enable an operator to participate in this process by providing a complete explanation of, and proposed solution to, a particular problem, and enabling the operator to approve, prevent, modify, postpone, etc., the implementation of the solution.

Abstract: A method, system, and computer program product are provided for displaying tradeoff options for a plurality of items (e.g., treatment recommendations) and options (e.g., treatment outcomes) by analyzing the options based on user-specified preference data and weighting factors to identify a list of options for a comparative list of items, and then employing a user interface to display a comparison of tradeoff options for the comparative list of items as a treatment matrix which includes visual tradeoff indication for each option shared in common with the comparative list of items to assist with the comparison of tradeoff options for the comparative list of items, where the user-specified preference data and/or weighting factors may be dynamically modified through interaction with a user interface to specify importance and impact weighting factors.

Abstract: SV coupon system offers a new, unified and unique approach to make the coupon based incentive mechanism more effective and convenient for both online and in-store customers and issuers of coupons. In addition, it supports tracking of coupons through their lifecycle.