Abstract: A chum predictor predicts whether a customer is likely to chum. The chum predictor is built and trained from data collected from mul-tiple customers. The data can include static configuration data and dynamic measured data. A chum predictor builder generates multiple customer in-stances and processes the instances based on the collected data, and based on separating the instances into one or more training subsets. Based on the pro-cessing, the builder generates and saves a chum predictor. The chum predictor can access data for a customer and generate a customer instancance and generates a chum likelihood score. Based on a chum type, the chum predictor system can generate preventive action for the customer.

Abstract: Described are an apparatus, system, and method for method for validating a broadband service for recommendation. The method comprises: collecting data associated with the broadband service; evaluating the collected data for service recommendations, the service recommendations including upgrades and downgrades to the broadband service; and validating broadband service recommendations, in response to evaluating the collected data, before presenting the broadband service recommendations to user of the broadband service.

Abstract: In accordance with embodiments disclosed herein, there are provided apparatus, systems and methods for optimizing DSL line configurations and parameters in a DSL system.

Abstract: Described are an apparatus, system, and method for method for validating a broadband service for recommendation. The method comprises: collecting data associated with the broadband service; evaluating the collected data for service recommendations, the service recommendations including upgrades and downgrades to the broadband service; and validating broadband service recommendations, in response to evaluating the collected data, before presenting the broadband service recommendations to user of the broadband service.

Abstract: A churn predictor predicts whether a customer is likely to churn. The churn predictor is built and trained from data collected from multiple customers. The data can include static configuration data and dynamic measured data. A churn predictor builder generates multiple customer instances and processes the instances based on the collected data, and based on separating the instances into one or more training subsets. Based on the processing, the builder generates and saves a churn predictor. The churn predictor can access data for a customer and generate a customer instance for evaluation against the training data. The churn predictor processes the customer instance and generates a churn likelihood score. Based on a churn type, the churn predictor system can generate preventive action for the customer.

Abstract: In accordance with embodiments disclosed herein, there are provided apparatus, systems and methods for optimizing DSL line configurations and parameters in a DSL system.

Abstract: Receivers and reception methods conduct spread spectrum reception using the energy of multiple bits, preferably a substantial number of bits, in a packet for correct alignment of the spreading code at the receiver. Code acquisition, as well as packet detection and acquisition are provided by embodiments of the invention. Preferred embodiment receivers and reception methods provide packet detection at low SINR looking at energy of multiple bits of the packet, frame synchronization using short preamble, timing recovery at low SINR looking at energy of multiple bits of the packet, quick code acquisition using parallel search for all possible code phases, code acquisition at low SINR, and tracking of acquired timing and code phase. Preferred embodiment receivers and reception methods use the energy of multiple bits for making decisions.

Abstract: Receivers and reception methods conduct spread spectrum reception using the energy of multiple bits, preferably a substantial number of bits, in a packet for correct alignment of the spreading code at the receiver. Code acquisition, as well as packet detection and acquisition are provided by embodiments of the invention. Preferred embodiment receivers and reception methods provide packet detection at low SINR looking at energy of multiple bits of the packet, frame synchronization using short preamble, timing recovery at low SINR looking at energy of multiple bits of the packet, quick code acquisition using parallel search for all possible code phases, code acquisition at low SINR, and tracking of acquired timing and code phase. Preferred embodiment receivers and reception methods use the energy of multiple bits for making decisions.