Serkan Altuntas, Hasan Selim, "Facility layout using weighted association rule-based data mining algorithms: Evaluation with simulation", Expert Systems with Applications, vol.39, no.1, pp.3-13, 2012.Altuntas, S
Randomized Base Classifiers in Data Mining - Learn about Randomized Base Classifiers in Data Mining, their concepts, types, and applications for improving prediction accuracy.
In this research work titled a hybrid approach based on Association Rule mining and Rule Induction in Data Mining we using induction algorithms and Association Rule mining algorithms as a hybrid approach to maximize the accurate result in fast processing time. This approach can obtain better result ...
This course is an all-encompassing and enthusiastic learning experience of most popular set of Cluster algorithms and analysis. It was educative and collaborative with end-to-end examples and hands-on practice exercises. It helped me learn quickly the data mining techniques in my functional needs ...
MiningIncrementalTemporalInefficientFrequent patternOne of the most challenging areas in data mining is Association rule mining. Several algorithms have been developed to solve this problem. These algorithms work efficiently with static datasets. But if new records are added time to time to the datasets...
On this basis a voting data base is studied to find out the interest of the voters among the attributes given using the some Associative Rule data mining algorithms. The Association Rule algorithm studies the frequent items that are being used in the data base. A comparative study of the ...
In recent years, models for crash count and severity distribution for different types of roadways have become more advanced. In particular, new statistical models and machine learning algorithms have been utilized, such as data mining, multivariate statistical model, and inclusion of random parameters ...
Without any candidate generation process FP-growth performs well in mining alarm records. The distributed architecture of master and slave site can effectively reduced the complexity of the algorithm. The experimental results and comparison with other algorithms prove the validity of this proposed ...
Discovering frequent itemsets is the key process in association rul... H Liu,B Wang - 《Data Science Journal》 被引量: 49发表: 2007年 Credible Association Rule and Its Mining Algorithm Based on Maximum Clique可信关联规则及其基于极大团的挖掘算法 Existing association-rule mining algorithms mainly ...
Various sequential and parallel ARM algorithms have been developed that differs in data layout, search technique, data structure, the number of database scans used and the system on which it is developed i.e. homogeneous or heterogeneous systems. This paper mainly put emphasis in the need of a...