CRMS: An Algorithm of Classification Rule Mining Based on Multiple Supports
نویسندگان
چکیده
منابع مشابه
An Automatic Programming ACO-Based Algorithm for Classification Rule Mining
In this paper we present a novel algorithm, named GBAP, that jointly uses automatic programming with ant colony optimization for mining classification rules. GBAP is based on a context-free grammar that properly guides the search process of valid rules. Furthermore, its most important characteristics are also discussed, such as the use of two different heuristic measures for every transition ru...
متن کاملAn Association Rule Mining Algorithm Based on a Boolean Matrix
Association rule mining is a very important research topic in the field of data mining. Discovering frequent itemsets is the key process in association rule mining. Traditional association rule algorithms adopt an iterative method to discovery, which requires very large calculations and a complicated transaction process. Because of this, a new association rule algorithm called ABBM is proposed ...
متن کاملAn Algorithm about Association Rule Mining Based on Spatial Autocorrelation
Most spatial data in GIS are not independent, they have high autocorrelation. For example, temperatures of nearby locations are often related. Most of the spatial association rule mining algorithms derived from the attribute association rule mining algorithms which assume that spatial data is independent. In these situations, the rules or knowledge derived from spatial mining will be wrong. It ...
متن کاملAn Efficient Association Rule Mining by Optimal Multiple-Core Algorithm
Association mining aims to extract frequent patterns, interesting correlations, associations or casual structures among the sets of objects in the transaction files or from the other data repositories. It plays a vital role in spawning frequent item sets from large transaction databases. The discovery of interesting association relationship among business transaction records in many commercial ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Computer and Information Science
سال: 2009
ISSN: 1913-8997,1913-8989
DOI: 10.5539/cis.v2n2p131