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» A genetic approach for random testing of database systems
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SIGADA
2004
Springer
15 years 2 months ago
Comparative analysis of genetic algorithm implementations
Genetic Algorithms provide computational procedures that are modeled on natural genetic system mechanics, whereby a coded solution is “evolved” from a set of potential solutio...
Robert Soricone, Melvin Neville
INFORMATICALT
2008
196views more  INFORMATICALT 2008»
14 years 9 months ago
An Efficient and Sensitive Decision Tree Approach to Mining Concept-Drifting Data Streams
Abstract. Data stream mining has become a novel research topic of growing interest in knowledge discovery. Most proposed algorithms for data stream mining assume that each data blo...
Cheng-Jung Tsai, Chien-I Lee, Wei-Pang Yang
91
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KDD
2006
ACM
164views Data Mining» more  KDD 2006»
15 years 10 months ago
Assessing data mining results via swap randomization
The problem of assessing the significance of data mining results on high-dimensional 0?1 data sets has been studied extensively in the literature. For problems such as mining freq...
Aristides Gionis, Heikki Mannila, Panayiotis Tsapa...
KBSE
2008
IEEE
15 years 3 months ago
Query-Aware Test Generation Using a Relational Constraint Solver
We present a novel approach for black-box testing of database management systems (DBMS) using the Alloy tool-set. Given a database schema and an SQL query as inputs, our approach ...
Shadi Abdul Khalek, Bassem Elkarablieh, Yai O. Lal...
ICNC
2005
Springer
15 years 3 months ago
Applying Genetic Programming to Evolve Learned Rules for Network Anomaly Detection
The DARPA/MIT Lincoln Laboratory off-line intrusion detection evaluation data set is the most widely used public benchmark for testing intrusion detection systems. But the presence...
Chuanhuan Yin, Shengfeng Tian, Houkuan Huang, Jun ...