Abstract: Methods, systems, articles of manufacture and apparatus to privatize consumer data are disclosed. A disclosed example apparatus includes a consumer data acquirer to collect original data corresponding to (a) confidential information associated with consumers and (b) behavior information associated with the consumers, and a data obfuscator. The data obfuscator is to determine a degree to which the original data is to be obfuscated and a type of obfuscation to be applied to the original data based on the original data, generate obfuscation adjustments of the original data based on the degree and the type, and generate an obfuscation model based on the obfuscation adjustments.

Abstract: Methods, systems, articles of manufacture and apparatus to privatize consumer data are disclosed. A disclosed example apparatus includes a consumer data acquirer to collect original data corresponding to (a) confidential information associated with consumers and (b) behavior information associated with the consumers, and a data obfuscator. The data obfuscator is to determine a degree to which the original data is to be obfuscated and a type of obfuscation to be applied to the original data based on the original data, generate obfuscation adjustments of the original data based on the degree and the type, and generate an obfuscation model based on the obfuscation adjustments.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed for text extraction from a receipt image.

Abstract: Methods, systems, articles of manufacture and apparatus to privatize consumer data are disclosed. A disclosed example apparatus includes a consumer data acquirer to collect original data corresponding to (a) confidential information associated with consumers and (b) behavior information associated with the consumers, and a data obfuscator. The data obfuscator is to determine a degree to which the original data is to be obfuscated and a type of obfuscation to be applied to the original data based on the original data, generate obfuscation adjustments of the original data based on the degree and the type, and generate an obfuscation model based on the obfuscation adjustments.

Abstract: Methods, systems, articles of manufacture and apparatus to privatize consumer data are disclosed. A disclosed example apparatus includes a consumer data acquirer to collect original data corresponding to (a) confidential information associated with consumers and (b) behavior information associated with the consumers, and a data obfuscator. The data obfuscator is to determine a degree to which the original data is to be obfuscated and a type of obfuscation to be applied to the original data based on the original data, generate obfuscation adjustments of the original data based on the degree and the type, and generate an obfuscation model based on the obfuscation adjustments.

Abstract: Methods, systems, articles of manufacture and apparatus to privatize consumer data are disclosed. A disclosed example apparatus includes a consumer data acquirer to collect original data corresponding to (a) confidential information associated with consumers and (b) behavior information associated with the consumers, and a data obfuscator. The data obfuscator is to determine a degree to which the original data is to be obfuscated and a type of obfuscation to be applied to the original data based on the original data, generate obfuscation adjustments of the original data based on the degree and the type, and generate an obfuscation model based on the obfuscation adjustments.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to identify non-named competitors. An example method includes identifying, with a processor, a target item to evaluate in connection with historical market activity data, and improving model evaluation efficiency by optimizing, with the processor, erroneous selection of competitive products by: identifying a rest-of-category (ROC) subset of items in the historical market activity data that exclude a same manufacturer as the target item, identifying a rest-of-manufacturer (ROM) subset of items in the historical market activity data that are associated with the same manufacturer as the target item and exclude a same brand as the target item, and identifying a rest-of-brand (ROB) subset of items in the historical market activity data that are associated with the same brand as the target item and exclude the target item.

Abstract: Provided herein are compositions and methods for the diagnosis, monitoring, treatment, and/or prevention of autoimmune disease (e.g., lupus) based on a causal connection with various epigenetic markers (e.g., chromosome demethylation, overexpression of lupus markers, nitration of PKC? in response to oxidative stress, etc.).

Abstract: Methods and apparatus are disclosed to manage marketing forecasting activity. An example method includes identifying a first likelihood of missing the sales target based on a first alerting methodology, identifying a second likelihood of missing the sales target based on a second alerting methodology, issuing a first alert if at least one of the first or the second likelihoods is greater than a threshold after a first future date, and issuing a second alert if the first and the second likelihoods are greater than the threshold after a second future date.

Abstract: Methods and apparatus are disclosed to manage marketing forecasting activity. An example method includes retrieving client driver control data and corresponding market triggers, generating a client baseline profile associated with the client based on the client driver control data and a corresponding market trigger, calculating a first probability of not taking action when action prevents a missed marketing objective, calculating a second probability of taking action when action causes superfluous spending to meet a marketing objective, and generating the alert based on a comparison between the product of the first probability and a cost of the missed marketing objective and the product of the second probability and a cost of the superfluous spending.

Abstract: Methods and apparatus are disclosed to predict new product performance metrics. An example disclosed method includes selecting a product hierarchy tree based on a distribution measure for a new product, identifying a segment location of the product hierarchy tree for the new product, retrieving a relationship matrix associated with the segment location of the product hierarchy tree, the relationship matrix comprising available product performance coefficients and attribute information, identifying a spatial location for the new product in the relationship matrix based on the attribute information, calculating, using a programmed processor, an impact parameter based on the spatial location within the relationship matrix, and calculating the performance metric for the new product based on the impact parameter and a channel sales value.

Abstract: Methods and apparatus are disclosed to predict new product performance metrics. An example disclosed method includes selecting a product hierarchy tree based on a distribution measure for a new product, identifying a segment location of the product hierarchy tree for the new product, retrieving a relationship matrix associated with the segment location of the product hierarchy tree, the relationship matrix comprising available product performance coefficients and attribute information, identifying a spatial location for the new product in the relationship matrix based on the attribute information, calculating, using a programmed processor, an impact parameter based on the spatial location within the relationship matrix, and calculating the performance metric for the new product based on the impact parameter and a channel sales value.

Abstract: A cable television distribution system in which the head end substitutes different channels for a plurality of separated geographic zones. The head end creates a plurality of channel spectrums and transmits the spectrums on distribution trunks such that a different spectrum may be present on each distribution trunk. The spectrums on the distribution trunks are connected to zones of the viewer community which have been selected for market research purposes on the basis of demographics. Product sales collection units are provided at stores throughout the community served by the cable television distribution to collect consumer purchase data for market research purposes.

Abstract: Cytarabine (ara-C) is effective in the treatment of systemic lupus erythematosus.