Machine learning an artificial intelligence approach volume II
Machine learning an artificial intelligence approach volume II
Parallel distributed processing: explorations in the microstructure of cognition, vol. 1: foundations
The art of computer programming, volume 3: (2nd ed.) sorting and searching
The art of computer programming, volume 3: (2nd ed.) sorting and searching
System R: relational approach to database management
ACM Transactions on Database Systems (TODS)
The fact database: a system based on inferential methods
SIGIR '80 Proceedings of the 3rd annual ACM conference on Research and development in information retrieval
Associative/parallel processors for searching very large textual data bases
CAW '77 Proceedings of the 3rd workshop on Computer architecture : Non-numeric processing
An associative text filter for microcomputer-based document retrieval
An associative text filter for microcomputer-based document retrieval
| Hi-index | 0.00 |
A Symbolic Associative Processor (SAP), capable of supporting parallel Keyword Match and Record Match functions, is proposed to select and streamline textual data for information retrieval. Consequently, high volume text data could be analysed on-the-fly before being channelled to CPU, and thus, cushion the impact of Von Neumann bottleneck commonly experienced in applications requiring high I/O bandwidth. This paper identifies some of the system requirements to support text information retrieval using SAP with the aid of simplified examples.