Abstract: A bioinformatics method, software, database and system are presented in which attributes that modify an individual's predisposition for association with a query attribute (i.e., an attribute of interest) are identified. A predetermined set of attribute combinations that are statistically associated with the query attribute is used as the basis for identifying those attributes that can be added to or eliminated from the attribute profile of the individual in order to modify the individual's statistical predisposition for association with the query attribute.

Abstract: A bioinformatics method, software, database and system for expanding attribute profiles are presented in which primary attributes from an attribute profile of an individual are used to derive secondary attributes that can be added to the individual's attribute profile to generate an expanded attribute profile having a higher strength of association with a query attribute (i.e., an attribute of interest).

Abstract: A method and system for determining attribute associations are presented in which primary attributes in an attribute profile are used to derive secondary attributes which are added to the attribute profile to create expanded attribute profile. A statistical association between a query attribute and attribute combinations occurring in the expanded attribute profile is determined.

Abstract: A method, software, database and system for determining approaches for an individual to achieve a goal or prevent an undesired outcome are presented in which an attribute profile of the individual containing genetic and non-genetic attributes is compared against a database containing combinations of genetic and non-genetic attributes that are statistically associated with successful goal achievement or outcome prevention in other individuals.

Abstract: A method, software, database and system for determining an optimal treatment for an illness in an individual and for determining the impact (e.g., side effects and intended benefits) of the treatment in the individual are presented in which an attribute profile of the individual containing genetic and non-genetic attributes is compared against a database containing combinations of genetic and non-genetic attributes that are statistically associated with successful treatment of the illness in other individuals.

Abstract: A method and system are presented in which a query attribute is used as the basis for accessing stored attribute combinations and their frequencies of occurrence for query-attribute-positive individuals and query-attribute-negative individuals and tabulating, based on frequencies of occurrence, those attribute combinations that are most likely to co-occur with the query attribute.

Abstract: A method, software, database and system for predicting the longevity of an individual and for determining an optimal insurance plan for an individual are presented in which an attribute profile of the individual containing genetic and non-genetic attributes is compared against a database containing combinations genetic and non-genetic attributes that are statistically associated with known longevities and optimized insurance plans derived from other individuals.

Abstract: A bioinformatics method, software, database and system are presented in which combinations of bioattributes comprising pangenetic and non-pangenetic attributes that co-associate with a query attribute (i.e., an attribute of interest) are identified from a database containing attribute combinations and corresponding frequencies of occurrence of each of the attribute combinations for a group of query-attribute-positive individuals and for a group of query-attribute-negative individuals.

Abstract: A method, software, database and system for diagnosing various phenotypes including illnesses, conditions, physical traits and features, and characteristics such as strengths and weaknesses of an individual are presented in which an attribute profile containing genetic and non-genetic attributes associated with an individual can be compared against a database containing combinations of genetic and non-genetic attributes that are statistically associated with the phenotypes in order to determine the potential that the individual currently possesses or will eventually develop one or more of the phenotypes.

Abstract: A bioinformatics method, software, database and system are presented in which an expanded attribute profile is used to determine the strength of association between an individual and a query attribute (i.e., an attribute of interest). Primary attributes in an attribute profile of the individual are used as the basis for deriving lower resolution secondary attributes which are added to the attribute profile to create an expanded attribute profile. The strength of association between the individual and the query attribute is determined based on the identification of one or more attribute combinations in the expanded attribute profile that also occur in a dataset containing attribute combinations that are statistically associated with the query attribute.

Abstract: A method and system for computer based destiny modification are presented in which a set of attributes associated with an individual is compared against attribute combinations that are statistically associated with a query attribute, the query attribute representing an attribute which may desirable for the individual to have, or which may be undesirable for the individual have. Based on the comparison, changes to the set of attributes associated with the individual are indicated and can then be implemented to increase/decrease the potential of the individual to acquire (an association with) the query attribute.

Abstract: A bioinformatics method, software, database and system are presented in which attribute profiles of query-attribute-positive individuals and query-attribute-negative individuals are compared, and combinations of pangenetic and non-pangenetic attributes that occur at a higher frequency in the group of query-attribute-positive individuals are identified and stored to generate a compilation of bioattribute combinations that co-associate with the query attribute (i.e., an attribute of interest).

Abstract: An Ad Management System (AMS) for managing sales and insertion of targeted advertisements into advertising opportunities (“avails”). The AMS provides advertisers an ability to describe their advertisements (ad characteristics) in terms of target market demographics, required ad bandwidth, ad duration, and other ad specific parameters. The AMS receives the ad characteristics and matches the ads to the avails. The AMS tracks different avails including duration and bandwidth of the avail, and uses a number of schemes to determine if the ad can be placed in the avail. The AMS targets advertisements by correlating subscriber characteristics to the ad characteristics. The subscriber characteristics may be associated with groups of subscribers (e.g. nodes in cable television environments) or to individual subscribers.

Abstract: A subscriber identification system is presented in which EPG related data including scrolling rates, paging rates, information screen viewing times, and manner and frequency of EPG activation are used to identify a subscriber from a group of subscribers. In one instance, the subscriber viewing data is recorded and a signal processing algorithm, such as a Fourier transform, is used to produce a processed version of the EPG related data. The processed version of the EPG related data can be correlated with stored common identifiers of subscriber profiles to determine which subscriber from the group is presently viewing the programming. A neural network or fuzzy logic can be used as the mechanism for identifying the subscriber from clusters of information, which are associated with individual subscribers.

Abstract: A method and apparatus for the insertion and transport of advertisements in a digital environment, including methods for directing advertisements (ads) at subscribers and substituting advertisements in a program stream with targeted advertisements. The insertion methods are based on synchronous, plesiochronous, or asynchronous techniques. These methods may operate at constant bit rates or at available bit rates. An ad manager is used to select targeted advertisements, and dynamic ad linking is used to substitute an advertisement in a program stream with an alternative targeted advertisement.

Abstract: A subscriber identification system is presented in which subscriber selection data including channel changes, volume changes, and time-of-day viewing information is used to identify a subscriber from a group of subscribers. In one instance, the subscriber viewing data is recorded and a signal processing algorithm such as a Fourier transform is used to produce a processed version of the subscriber selection data. The processed version of the subscriber selection data can be correlated with stored common identifiers of subscriber profiles to determine which subscriber from the group is presently viewing the programming. A neural network or fuzzy logic can be used as the mechanism for identifying the subscriber from clusters of information which are associated with individual subscribers.

Abstract: A targeted advertising system based on subgroups. Different subgroups are formed based on one or more subscriber characteristics, and different targeted advertisements transmitted to the different subgroups. In the Internet-environment, the subgroups are formed by utilizing multicast addresses. In cable-based and satellite-based systems, the subgroups are formed by node configurations. The targeted advertisements may be transmitted simultaneously with programming and inserted locally. An apparatus is presented which receives m program streams, n advertisements, and creates p presentation streams containing targeted advertisements, where p is greater than m.

Abstract: An advertisement selection system is presented in which vectors describing an actual or hypothetical market for a product or desired viewing audience can be determined. An ad characterization vector is transmitted along with a consumer ID. The consumer ID is used to retrieve a consumer characterization vector which is correlated with the ad characterization vector to determine the suitability of the advertisement to the consumer. The consumer characterization vector describes statistical information regarding the demographics and product purchase preferences of a consumer, and is developed from previous purchases or viewing habits. A price for displaying the advertisement can be determined based on the results of the correlation of the ad characterization vector with the consumer characterization vector.

Abstract: A subscriber characterization system is presented in which the subscriber's requests are transmitted to a server which fulfills those requests and performs monitoring of the subscriber requests for subsequent characterization of the subscriber. Monitoring includes maintaining records of the time duration programming is watched, the volume at which the programming is listened to, and any available information regarding the type of programming, including category and sub-category of the programming. The characterization system works across a network to extract textual information related to the programming from closed captioning data, electronic program guides, or other text sources associated with the programming. The extracted information is used to form program characteristics vectors. The programming characteristics vectors can be used in combination with the subscriber selection data to form a subscriber profile.

Abstract: An advertisement auction system is presented in which content/opportunity providers announce to advertisers that they have an opportunity to present an advertisement to a consumer. The advertiser transmits ad characterization information which is correlated with the consumer profile. Based on the results of the correlation, the advertisers place bids for the advertisement opportunity. Upon acceptance of a bid the advertisement is delivered to the consumer. The system can be applied to a variety of media including Internet advertisements, advertisements delivered over cable television systems, and printed materials such as magazines and periodicals. The system allows consumers to receive more targeted advertisements which match their lifestyle and interests, insures advertisers that their ads will be received by the appropriate audience, and allows the content/opportunity provider the ability to maximize revenue for the advertising opportunity.