Abstract: A method and system for interesting relationships in text documents includes generating a dictionary of keywords in the text documents, forming categories of the text documents using the dictionary and an automated algorithm, counting occurrences of the structured variables, categories and structured variable/category combinations in the text documents, and calculating probabilities of occurrences of the structured variable/category combinations.

Abstract: A system, method, and computer program product for interactively classifying and analyzing data is particularly applicable to classification and analysis of textual data. It is particularly useful in identification of helpdesk inquiry and problem categories amenable to automated fulfillment or solution. A dictionary is generated based on a frequency of occurrence of words in a document set. A count of occurrences of each word in the dictionary within each document in the document set is generated. The set of documents is partitioned into a plurality of clusters. A name, a centroid, a cohesion score, and a distinctness score are generated for each cluster and displayed in a table. The documents contained in the clusters sorted based on their similarity to other documents in the cluster.

Abstract: A system and method for automatic generation of a comparison list given two different classifications, and automatic sorting of the list in order of similarity. A first dictionary is generated including a subset of words contained in a first document set, the first document set including at least one document and having an associated first classification including at least one class, each class having a class name. A second dictionary is generated including a subset of words contained in a second document set, the second document set including at least one document and having an associated second classification including at least one class, each class having a class name. A common dictionary including words that are common to both the first dictionary and the second dictionary is generated. A count of occurrences of each word in the common dictionary within each document in each document set is generated. A centroid of each class in the space of the common dictionary is generated.

Abstract: A method and apparatus for creating a multiprocessor verification environment. A Multiprocessor Test Generator (MPTG) generates a set of test cases in a Multiprocessor Test Language (MTL) format subject to constraints and enumeration controls in a test specification. An abstract system model of the machine under test is inputted to the Multiprocessor Test Generator. The Multiprocessor Test Generator (MPTG) receives the test specification and abstract system model, accesses a system specific database and generates test cases based on the constraints in the test specification in a Multiprocessor Test Language (MTL). The Multiprocessor Test Language (MTL) test cases are inputted to a Multiprocessor Test Executive (MPX) which controls the issuance of the test cases to a cache-coherent multiprocessor system, and monitors their completion in order to verify operation of the cache-coherent multiprocessor system.

Abstract: An arbitration protocol, preferably known as data-valid extended (DVE) protocol, for determining which one of the two units within a computer system may obtain access to a common bus is described. The DVE protocol is based on a point-to-point communication between two peer units. The DVE protocol is a physical level signalling convention for controlling switch communications on bi-directional address buses and data buses in a boundary-latched synchronous environment. The DVE protocol is asymmetric, yet fair, and is designed to minimize the number of cycles spent (or latency) in accessing the address or data buses and to maximize the number useful cycles (or bandwidth) on the address buses as well as the data buses. The asymmetry of the DVE protocol reduces the number of cycles spent in arbitration to zero for any data transfer size greater than one.