Collection Oriented Match

match algorithms that can efficiently handleAbstract complex tests in the presence of large amounts of data. Match algorithms that are capable of handling large amounts of On the other hand, expert systems have long supported data, without giving up expressiveness are a key requirement for powerful rules. These systems have traditionally used more successful integration of relational database systems and powerful powerful match algorithms like Rete and its rule-based systems. Algorithms that have been used for database derivatives [4, 11] and Treat [22]. These algorithms,rule systems have usually been unable to support large and however, have not been designed for matching largecomplex rule sets, while the algorithms that have been used for amounts of data and do not scale well [24, 34]. This limitsrule-based expert systems do not scale well with increasing the the amount of data that expert systems can deal withamounts of data. Furthermore, these algorithms do not provide and forces t...

• Type: Conference
• Year: 1993
• Where: CIKM
• Authors: Anurag Acharya, Milind Tambe
• Keywords: CIKM 1993, Expert Systems, Information Management, Large Amounts, Match Algorithms