Abstract: A search engine and system for data, such as Internet web pages, including a query analyser for processing a query to assign respective weights to terms of the query and to generate a query vector including the weights, and an index network responsive to the query vector to output at least one index to data in response to the query. The index network is a self-generating neural network built using training examples derived from a feature extractor. The feature extractor is used during both the search and training phase. A clusterer is used to group search results.

Abstract: A search engine and system for data, such as Internet web pages, including a query analyser for processing a query to assign respective weights to terms of the query and to generate a query vector including the weights, and an index network responsive to the query vector to output at least one index to data in response to the query. The index network is a self-generating neural network built using training examples derived from a feature extractor. The feature extractor is used during both the search and training phase. A clusterer is used to group search results.

Abstract: A search engine and system for data, such as Internet web pages, including a query analyser for processing a query to assign respective weights to terms of the query and to generate a query vector including the weights, and an index network responsive to the query vector to output at least one index to data in response to the query. The index network is a self-generating neural network built using training examples derived from a feature extractor. The feature extractor is used during both the search and training phase. A clusterer is used to group search results.

Abstract: A network analysis system obtains parameter data generated by telecommunications network equipment, in which the parameter data represents operational parameters of the network. The network analysis system processes the parameter data to generate symptom data from test procedures that are applied to the parameter data. Fault data is generated that is representative of faults that may have occurred, on the basis of the symptom data and relationship data representative of the relationship between the symptom data and the faults. The relationship between a symptom and a fault represents likelihood of the symptom being caused by the fault. The system also generates occurrence data that is representative of faults that probably have occurred, on the basis of the fault data.

Abstract: The fault system includes an interface for accessing first data fault representative of faults in the reported by users of mobile stations of the network, an interface for accessing second fault, data representative of faults in the network determined by a network analysis system, and pattern matching device for allocating the first and second fault data to fault patterns, representative of faults having at least one common characteristic. The common characteristics is geographic location and fault type. The fault system further includes pattern generation device for generating the fault pattern using respective fault templates to allocate the fault data to the fault patterns.