Abstract: A method is described of dynamically searching a search domain. A first result set of data objects is presented. The first result set is obtained from a first search of a search domain having active and inactive data objects for first search features obtained from a source data object. An update is detected in the search domain. Key features are extracted from the source data object to be included in second search features when the update in the search domain is in the source data object. A second search of the updated search domain is performed for data objects having the second search features.

Abstract: A method is described of dynamically searching a search domain. A first result set of data objects is presented. The first result set is obtained from a first search of a search domain having active and inactive data objects for first search features obtained from a source data object. An update is detected in the search domain. Key features are extracted from the source data object to be included in second search features when the update in the search domain is in the source data object. A second search of the updated search domain is performed for data objects having the second search features.

Abstract: A method is described of dynamically searching a search domain. A first result set of data objects is presented. The first result set is obtained from a first search of a search domain having active and inactive data objects for first search features obtained from a source data object. An update is detected in the search domain. Key features are extracted from the source data object to be included in second search features when the update in the search domain is in the source data object. A second search of the updated search domain is performed for data objects having the second search features.

Abstract: A method is described of dynamically searching a search domain. A first result set of data objects is presented. The first result set is obtained from a first search of a search domain having active and inactive data objects for first search features obtained from a source data object. An update is detected in the search domain. Key features are extracted from the source data object to be included in second search features when the update in the search domain is in the source data object. A second search of the updated search domain is performed for data objects having the second search features.

Abstract: The likelihood of a problem report being escalated to a critical status in a customer service environment is predicted by receiving historical Problem Management Records for which associated problems have been resolved and final criticality statuses have been determined, analyzing the historical Problem Management Records using at least one trainable data mining process to produce a prediction output for each historical Problem Management Record, validating the prediction output against the final criticality statuses, training the data mining process according to the validation, and, subsequently, analyzing an unresolved Problem Management Record by the trained analysis module to produce a prediction indicator and a confidence indicator for unresolved Problem Management Record to be re-classified as critical status. The unresolved Problem Management Record is escalated to critical status level responsive to the prediction indicator and the confidence indicator exceeding a predetermined threshold.

Abstract: An on-line computerized system useful in automatic document control and inventory systems such as that needed in libraries with a large number of books, records, films, and other items. In the library system disclosed, each borrower and each item within the library is given a unique identification number. The system includes automated Check-In/Check-Out terminals at each branch library which are interfaced to a computer for facilitating patron services and permitting fast, on-line storage and retrieval of data concerning overdue fines, reserve books, expired and delinquent patron cards, and other pertinent information.