Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to identify affinity between segment attributes and product characteristics. An example method includes identifying, with a processor, a set of product characteristics from purchase transactions that exhibit a threshold product affinity, selecting, with the processor, a set of products having at least one product characteristic from the set of product characteristics that exhibit the threshold product affinity, the set of products associated with first segments, extracting, with the processor, segment attributes from the first segments, and improving a market success of the product of interest by identifying, with the processor, target segments based on ones of the extracted segment attributes exhibiting a threshold segment affinity.

Abstract: Methods, apparatus, and articles of manufacture to encode auxiliary data into relational database keys and methods, apparatus, and articles of manufacture to obtain encoded data from relational database keys are disclosed. Example apparatus disclosed herein include a code determiner to divide a relational database key value into a first number of groups. Disclosed example apparatus also includes an encoded data determiner to determine remainders for respective ones of the groups based on corresponding incremental values, and modify the remainders to obtain the encoded data.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to identify affinity between segment attributes and product characteristics. An example method includes identifying, with a processor, a set of product characteristics from purchase transactions that exhibit a threshold product affinity, selecting, with the processor, a set of products having at least one product characteristic from the set of product characteristics that exhibit the threshold product affinity, the set of products associated with first segments, extracting, with the processor, segment attributes from the first segments, and improving a market success of the product of interest by identifying, with the processor, target segments based on ones of the extracted segment attributes exhibiting a threshold segment affinity.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to identify affinity between segment attributes and product characteristics. An example method includes identifying, with a processor, a set of product characteristics from purchase transactions that exhibit a threshold product affinity, selecting, with the processor, a set of products having at least one product characteristic from the set of product characteristics that exhibit the threshold product affinity, the set of products associated with first segments, extracting, with the processor, segment attributes from the first segments, and improving a market success of the product of interest by identifying, with the processor, target segments based on ones of the extracted segment attributes exhibiting a threshold segment affinity.

Abstract: Methods, apparatus, and articles of manufacture to encode auxiliary data into text data and methods, apparatus, and articles of manufacture to obtain encoded data from text data are disclosed. An example method includes detecting, using a processor, a first symbol present in first text data, the first symbol including a white space character; mapping the first symbol to first data using the processor; detecting, using the processor, a second symbol present in the first text data by detecting a white space character or a flow control character; mapping, using the processor, the second symbol to a first bit position of the first data in encoded data; and determining the encoded data, using the processor, based on placing the first data in the first bit position.

Abstract: Methods, apparatus, and articles of manufacture to encode auxiliary data into text data and methods, apparatus, and articles of manufacture to obtain encoded data from text data are disclosed. An example method includes detecting, using a processor, a first symbol present in first text data, the first symbol including a white space character; mapping the first symbol to first data using the processor; detecting, using the processor, a second symbol present in the first text data by detecting a white space character or a flow control character; mapping, using the processor, the second symbol to a first bit position of the first data in encoded data; and determining the encoded data, using the processor, based on placing the first data in the first bit position.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to identify affinity between segment attributes and product characteristics. An example method includes identifying, with a processor, a set of product characteristics from purchase transactions that exhibit a threshold product affinity, selecting, with the processor, a set of products having at least one product characteristic from the set of product characteristics that exhibit the threshold product affinity, the set of products associated with first segments, extracting, with the processor, segment attributes from the first segments, and improving a market success of the product of interest by identifying, with the processor, target segments based on ones of the extracted segment attributes exhibiting a threshold segment affinity.

Abstract: Methods, apparatus, and articles of manufacture to encode auxiliary data into text data and methods, apparatus, and articles of manufacture to obtain encoded data from text data are disclosed. An example method includes detecting, using a processor, a first symbol present in first text data, the first symbol including a white space character; mapping the first symbol to first data using the processor; detecting, using the processor, a second symbol present in the first text data by detecting a white space character or a flow control character; mapping, using the processor, the second symbol to a first bit position of the first data in encoded data; and determining the encoded data, using the processor, based on placing the first data in the first bit position.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to identify affinity between segment attributes and product characteristics. An example method includes identifying, with a processor, a set of product characteristics from purchase transactions that exhibit a threshold product affinity, selecting, with the processor, a set of products having at least one product characteristic from the set of product characteristics that exhibit the threshold product affinity, the set of products associated with first segments, extracting, with the processor, segment attributes from the first segments, and improving a market success of the product of interest by identifying, with the processor, target segments based on ones of the extracted segment attributes exhibiting a threshold segment affinity.

Abstract: Methods and systems consistent with the present invention provide an improved system that supervises the operation of a backup amplifier. The method comprises receiving an indication that a primary amplifier failed; determining a configuration of the primary amplifier; and configuring the backup amplifier to match the configuration of the primary amplifier.

Abstract: Methods, apparatus, and articles of manufacture to encode auxiliary data into relational database keys and methods, apparatus, and articles of manufacture to obtain encoded data from relational database keys are disclosed. Example apparatus disclosed herein include a code determiner to divide a relational database key value into a first number of groups. Disclosed example apparatus also includes an encoded data determiner to determine remainders for respective ones of the groups based on corresponding incremental values, and modify the remainders to obtain the encoded data.

Abstract: Methods, apparatus, and articles of manufacture to encode auxiliary data into relational database keys and methods, apparatus, and articles of manufacture to obtain encoded data from relational database keys are disclosed. An example method to encode auxiliary data into relational data includes generating a code comprising a plurality of groups and representative of auxiliary data, determining incremental values for the plurality of groups, generating a first key based on the code, and generating a subsequent key by modifying the first key based on the value of the first key and the incremental values.

Abstract: An approach for supervision of an audio path within an audio system that conserves power while operating in battery mode by temporarily turning off pre-determined audio components of the audio system when not performing supervision tasks and no audio is present on the audio path.

Abstract: Methods, apparatus, and articles of manufacture to encode auxiliary data into text data and methods, apparatus, and articles of manufacture to obtain encoded data from text data are disclosed. An example method includes assigning encoded data units to respective ones of a plurality of groups, the encoded data units including text data, identifying a symbol present in a first one of the encoded data units assigned to a first one of the groups, and outputting auxiliary data embedded in the encoded data units based on the symbol and based on the one of the groups of the first one of the encoded data units.

Abstract: Methods and systems consistent with the present invention provide an improved system that supervises the operation of a backup amplifier. The method comprises receiving an indication that a primary amplifier failed; determining a configuration of the primary amplifier; and configuring the backup amplifier to match the configuration of the primary amplifier.

Abstract: An approach for supervision of an audio path within an audio system that conserves power while operating in battery mode by temporarily turning off pre-determined audio components of the audio system when not performing supervision tasks and no audio is present on the audio path.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to identify affinity between segment attributes and product characteristics. An example method includes identifying, with a processor, a set of product characteristics from purchase transactions that exhibit a threshold product affinity, selecting, with the processor, a set of products having at least one product characteristic from the set of product characteristics that exhibit the threshold product affinity, the set of products associated with first segments, extracting, with the processor, segment attributes from the first segments, and improving a market success of the product of interest by identifying, with the processor, target segments based on ones of the extracted segment attributes exhibiting a threshold segment affinity.

Abstract: Methods, apparatus, and articles of manufacture to encode auxiliary data into text data and methods, apparatus, and articles of manufacture to obtain encoded data from text data are disclosed. An example method includes detecting, using a processor, a first symbol present in first text data, the first symbol including a white space character; mapping the first symbol to first data using the processor; detecting, using the processor, a second symbol present in the first text data by detecting a white space character or a flow control character; mapping, using the processor, the second symbol to a first bit position of the first data in encoded data; and determining the encoded data, using the processor, based on placing the first data in the first bit position.

Abstract: Methods, apparatus, and articles of manufacture to encode auxiliary data into text data and methods, apparatus, and articles of manufacture to obtain encoded data from text data are disclosed. An example method includes assigning encoded data units to respective ones of a plurality of groups, the encoded data units including text data, identifying a symbol present in a first one of the encoded data units assigned to a first one of the groups, and outputting auxiliary data embedded in the encoded data units based on the symbol and based on the one of the groups of the first one of the encoded data units.

Abstract: Methods, apparatus, and articles of manufacture to encode auxiliary data into text data and methods, apparatus, and articles of manufacture to obtain encoded data from text data are disclosed. An example method to embed auxiliary data into text data includes selecting a portion of auxiliary data to be encoded into text data, mapping the portion of auxiliary data to a first set of one or more encoded characters representative of the portion of the auxiliary data, mapping a position of the portion of auxiliary data within the auxiliary data to a second set of one or more encoded characters representative of the portion of the auxiliary data, and generating encoded data by including the first set of encoded characters and the second set of encoded characters in the text data.