Abstract: A single automated accounting and business analysis system is employed to acquire, organize, record, analyze and plan all the relevant financial and non-financial metrics utilized by an individual or group. This includes all the internally generated metrics and external metrics such as data related to the economy, a particular industry, weather conditions, etc. The system employs heuristics to learn from previous associations and links data based on previous associations.

Abstract: In response to determining that an event matches a condition of a rule, a given one of a plurality of computing nodes is selected to send the event, based on one or both of an attribute of the event and an identifier of the rule. Information of the event is sent to the given computing node to perform correlation of the event with another event.

Abstract: According to an example, a confidence factor function may be applied to determine a confidence factor for a condition of a rule to correlate events. The confidence factor may be an approximation of whether an event or a set of events satisfies the condition in the rule. The confidence factor may be compared to a threshold to determine whether the condition is satisfied.

Abstract: According to an example, a master node is to divide an event field in events into partitions including ordered contiguous blocks of values for the event field. Each partition may be assigned to a pair of cluster nodes. A partition map is determined from the partitions and may identify for each partition, the block of the event field values for the partition, a primary cluster node, and a failover cluster node for the primary cluster node.

Abstract: Systems and methods for evaluation of events are provided. A user-specific reference baseline comprising a set of temporally-ordered sequences of events. An event of a sequence of events in a current session is received. A determination is made as to whether the event at least partially matches the reference baseline using an attribute of the event and a temporal position of the event within the sequence of events in the current session.

Abstract: In response to determining that an event matches a condition of a rule, a given one of a plurality of computing nodes is selected to send the event, based on one or both of an attribute of the event and an identifier of the rule. Information of the event is sent to the given computing node to perform correlation of the event with another event.

Abstract: A network asset information management system (101) may include an asset determination and event prioritization module (105) to generate real-time asset information based on network activity involving an asset (102). A rules module (109) may include a set of rules for monitoring the network activity involving the asset. An information analysis module (110) may evaluate the real-time asset information and the rules to generate a notification (111) related to the asset. The rules may include rules for determining vulnerabilities and risks associated with the asset based on comparison of a level of traffic identified to or from an IP address related to the asset to a predetermined threshold. The notification may include a level of risk associated with the asset.

Abstract: A network asset information management system (101) may include an asset determination and event prioritization module (105) to generate real-time asset information based on network activity involving an asset (102). A rules module (109) may include a set of rules for monitoring the network activity involving the asset. An information analysis module (110) may evaluate the real-time asset information and the rules to generate a notification (111) related to the asset. The rules may include rules for determining vulnerabilities and risks associated with the asset based on comparison of a level of traffic identified to or from an IP address related to the asset to a predetermined threshold. The notification may include a level of risk associated with the asset.

Abstract: According to an example, a master node is to divide an event field in events into partitions including ordered contiguous blocks of values for the event field. Each partition may be assigned to a pair of cluster nodes. A partition map is determined from the partitions and may identify for each partition, the block of the event field values for the partition, a primary cluster node, and a failover cluster node for the primary cluster node.

Abstract: According to an example, a confidence factor function may be applied to determine a confidence factor for a condition of a rule to correlate events. The confidence factor may be an approximation of whether an event or a set of events satisfies the condition in the rule. The confidence factor may be compared to a threshold to determine whether the condition is satisfied.

Abstract: A single automated accounting and business analysis system is employed to acquire, organize, record, analyze and plan all the relevant financial and non-financial metrics utilized by an individual or group. This includes all the internally generated metrics and external metrics such as data related to the economy, a particular industry, weather conditions, etc. The system employs heuristics to learn from previous associations and links data based on previous associations.

Abstract: A method of utilizing an intellectual property grouping owned by a patent entity to generate income. The method includes acquiring rights in a first intellectual property asset from a seller on behalf of a patent investment entity, providing compensation to the seller in exchange for the first intellectual property asset, granting less than all of the rights in the first intellectual property asset to the seller of the intellectual property asset in exchange for a stream of payments, wherein granting less than all of the rights in the first intellectual property asset creates residual rights in the first intellectual property asset, and utilizing the residual rights in the first intellectual property asset to generate income for the patent investment entity.

Abstract: Systems and methods for evaluation of events are provided. A user-specific reference baseline comprising a set of temporally-ordered sequences of events. An event of a sequence of events in a current session is received. A determination is made as to whether the event at least partially matches the reference baseline using an attribute of the event and a temporal position of the event within the sequence of events in the current session.

Abstract: A method of utilizing an intellectual property grouping owned by a patent entity to generate income. The method includes acquiring rights in a first intellectual property asset from a seller on behalf of a patent investment entity, providing compensation to the seller in exchange for the first intellectual property asset, granting less than all of the rights in the first intellectual property asset to the seller of the intellectual property asset in exchange for a stream of payments, wherein granting less than all of the rights in the first intellectual property asset creates residual rights in the first intellectual property asset, and utilizing the residual rights in the first intellectual property asset to generate income for the patent investment entity.

Abstract: A network asset information management system (101) may include an asset determination and event prioritization module (105) to generate real-time asset information based on network activity involving an asset (102). A rules module (109) may include a set of rules for monitoring the network activity involving the asset. An information analysis module (110) may evaluate the real-time asset information and the rules to generate a notification (111) related to the asset. The rules may include rules for determining vulnerabilities and risks associated with the asset based on comparison of a level of traffic identified to or from an IP address related to the asset to a predetermined threshold. The notification may include a level of risk associated with the asset.

Abstract: Presented herein are methods and systems for managing an entity's risks of patent coverage. More specifically, the present invention is directed to methods and system for insuring an entity against damage awards in patent litigation. The presented methods and systems allow a manufacturer to minimize their exposure to damage awards in patent litigation by conducting pre-emptive analyses and properly allocating funds for royalty payments and/or damage awards. An insurance captive is also established as a risk management tool to insure the manufacturer against excessive damage awards.

Abstract: Presented herein are methods and systems for managing an entity's risks of patent coverage. More specifically, the present invention is directed to methods and system for insuring an entity against damage awards in patent litigation. The presented methods and systems allow a manufacturer to minimize their exposure to damage awards in patent litigation by conducting pre-emptive analyses and properly allocating funds for royalty payments and/or damage awards. An insurance captive is also established as a risk management tool to insure the manufacturer against excessive damage awards.

Abstract: Methods are disclosed for using computers, computer programs, algorithms and computer networks and communications hardware and protocols to appraise the value of assets as well as protecting asset owners from the risk that other entities will value those assets differently. The methods disclosed include: Supplementing traditional valuation methods with other considerations that may affect the value of intellectual property assets. Using insurance type financial instruments to maintain compliance with regulatory requirements such as those imposed by the Sarbanes Oxley Act, the SEC, or the IRS. Using insurance type financial instruments to protect intellectual property asset owners from the risk that tribunals, regulatory agencies, or other entities will appraise intellectual property assets at a different value.

Abstract: A method of utilizing an intellectual property grouping owned by a patent entity to generate income. The method includes acquiring rights in a first intellectual property asset from a seller on behalf of a patent investment entity, providing compensation to the seller in exchange for the first intellectual property asset, granting less than all of the rights in the first intellectual property asset to the seller of the intellectual property asset in exchange for a stream of payments, wherein granting less than all of the rights in the first intellectual property asset creates residual rights in the first intellectual property asset, and utilizing the residual rights in the first intellectual property asset to generate income for the patent investment entity.

Abstract: Methods are disclosed for using computers, computer programs, algorithms and computer networks and communications hardware and protocols to appraise the value of assets as well as protecting asset owners from the risk that other entities will value those assets differently. The methods disclosed include: Supplementing traditional valuation methods with other considerations that may affect the value of intellectual property assets. Using insurance type financial instruments to maintain compliance with regulatory requirements such as those imposed by the Sarbanes Oxley Act, the SEC, or the IRS. Using insurance type financial instruments to protect intellectual property asset owners from the risk that tribunals, regulatory agencies, or other entities will appraise intellectual property assets at a different value.