In this paper, two new hybrid algorithms are proposed for decoding Low Density Parity Check (LDPC) codes. Original version of the proposed algorithms named Search Based Weighted Multi Bit Flipping (SWMBF). The main idea of these algorithms is flipping variable multi bits in each iteration, change in which leads to the syndrome vector with least hamming weight. To achieve this, the proposed algo...

Generally association rule mining (ARM) algorithms, like the apriori algorithm, initial produce frequent itemsets and afterward, from the frequent itemsets, the association rules that go beyond the minimum confidence threshold. When the data is in large volume, it takes number of scans to generate frequent items.It is a better idea if all the association rules generated directly without generat...

This paper deals with the effective utilization of association rule mining algorithms in large databases used for especially business organizations where the amount of transactions and items plays a crucial role for decision making. Frequent item-set generation and the creation of strong association rules from the frequent item-set patterns are the two basic steps in association rule mining. We...

This technical report summarises the use of SVD based reduction for applications using generalised rational form. Some practical formulas are also introduced for using piece-wise linear antecedent sets. Fuzzy algorithms form popular engineering tool to large complex systems. For large rule bases exceeding direct operation capacity an extended algorithm is proposed here as well. 1. INTRODUCTION ...

The chapter introduces a simple learning methodology, the cooperative rules (COR) one, that improves the accuracy of linguistic fuzzy models preserving the highest interpretability. Its operation mode involves a combinatorial search of fuzzy rules performed over a set of previously generated candidate ones. The accuracy is achieved by developing a smart search space reduction and by inducing th...