Abstract: Artificial neural network models trained using historical lead data are used to identify leads that are likely to be fraudulent or inaccurate and to additionally identify lead sources that provide leads likely to be fraudulent or inaccurate. Related apparatus, systems, techniques and articles are also described.

Abstract: Data is received that characterizes one or more leads. Thereafter, it is determined, for each of the one or more leads, whether the lead is likely to be fraudulent and/or inaccurate using at least one predictive model. In some implementations, one or more of the utilized predictive models can be trained using a plurality of historical leads with known fraud or accuracy data. Data can be later provided that identifies and/or includes one or more of (i) those leads that are determined to be fraudulent and/or inaccurate and (ii) those leads that are determined not to be fraudulent and/or inaccurate. Related apparatus, systems, techniques and articles are also described.

Abstract: The present invention provides a method and apparatus of compiling and providing business data in a distributed computer system, preferably the Internet or any other type of computer linked network system. The present invention also provides a computer program product that contains business data compiled from files containing business data located in a distributed computer system. The present invention to provide a cost-effective method for automatically compiling a business data as well as an automated method for refreshing business data so as to keep it current. The advantage of the present invention is that it enables one to compile business data from files in a distributed computer system in a cost effective and time effective manner taking advantage of the large number of data that is available in a distributed computer system. Another advantage is that the present invention enables one to quickly update business data to stay current.

Abstract: The present invention provides a method and apparatus of compiling and providing business data in a distributed computer system, preferably the Internet or any other type of computer linked network system. The present invention also provides a computer program product that contains business data compiled from files containing business data located in a distributed computer system. The present invention to provide a cost-effective method for automatically compiling a business data as well as an automated method for refreshing business data so as to keep it current. The advantage of the present invention is that it enables one to compile business data from files in a distributed computer system in a cost effective and time effective manner taking advantage of the large number of data that is available in a distributed computer system. Another advantage is that the present invention enables one to quickly update business data to stay current.

Abstract: A closed loop variable phase shift circuit utilizing a variable time delay line controlled by feedback provided by a phase detector. The circuit employs feedback control to adjust the delay of the time delay line to achieve the desired phase shift. By utilizing a variable time delay element of large dynamic range, the circuit can achieve the desired phase shift over a wide frequency range. The circuit provides an extremely accurate phase shift without need for a multitude of high precision matched components. The circuit is easily realizable in integrated circuit form. The circuit can be implemented to phase shift either analog or digital input signals. The amount of phase shift is set by an externally applied voltage.