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DAWAK
2000
Springer
15 years 2 months ago
Data Mining Support in Database Management Systems
Abstract. The most popular data mining techniques consist in searching databases for frequently occurring patterns, e.g. association rules, sequential patterns. We argue that in co...
Tadeusz Morzy, Marek Wojciechowski, Maciej Zakrzew...
ACL
2003
14 years 11 months ago
A Word-Order Database for Testing Computational Models of Language Acquisition
An investment of effort over the last two years has begun to produce a wealth of data concerning computational psycholinguistic models of syntax acquisition. The data is generated...
William Gregory Sakas
CIB
2004
57views more  CIB 2004»
14 years 9 months ago
Identifying Global Exceptional Patterns in Multi-database Mining
In multi-database mining, there can be many local patterns (frequent itemsets or association rules) in each database. At the end of multi-database mining, it is necessary to analyz...
Chengqi Zhang, Meiling Liu, Wenlong Nie, Shichao Z...
HICSS
2000
IEEE
121views Biometrics» more  HICSS 2000»
15 years 2 months ago
Working with Patterns and Code
This paper describes the basis for a suite of tools that let the programmer work in terms of design patterns and source code simultaneously. It first introduces a language for de...
Steven P. Reiss
DAWAK
2006
Springer
14 years 11 months ago
COBRA: Closed Sequential Pattern Mining Using Bi-phase Reduction Approach
Sequential pattern mining aims to find frequent patterns (guarded by a minimum support) in a database of sequences. As the support decreases the number of sequential patterns will...
Kuo-Yu Huang, Chia-Hui Chang, Jiun-Hung Tung, Chen...