Describes an approximate document ranking process that uses a compact array of in-memory, low-precision approximations for document length. Combined with another rule for reducing the memory required by partial similarity accumulators, the approximation heuristic allows the ranking of large document collections using less than one byte of memory…

Proposes a cost/benefit model coupled with a decision tree for determining normal forms, which are used in information systems development processes to group data into well-refined structures. The three primary variables that impact the benefits and costs of normalization (reduced anomalies, storage requirements, and transaction response times)…

Describes an exploration system for large image databases. The system, which consists of three stages, allows user to interpret and annotate an image in the context in which that image appears, dramatically reducing the time taken to annotate a large collection of images. Includes 25 figures and two tables. (AEF)