An Optimized Distributed Association Rule Mining Algorithm in Parallel and Distributed Data Mining with XML Data for Improved Response Time

Abstract

ABSTRACT

An Object-Oriented Modeling and Implementation of Spatio-Temporal Knowledge Discovery System

“…The knowledge discovery considered in this paper are discovering evolution of spatial objects with time, changes in topological relationships between pairs of spatial objects with time, frequent patterns involving topological predicates and spatiotemporal association rules [14,16].…”

Comparative Study and Analysis on Frequent Itemset Generation Algorithms

“…Topical algorithm [17] are Integrated approach of Parallel Computing and ARM for mining Association Rules in Generalized data set that is basically different from all the earlier algorithms in that it utilizes database in transposed form and database transposition is done utilizing Parallel transposition algorithm (Mesh Transpose) so to generate every important association rules number of passes required is decreased. We will evaluate proposed algorithm with Apriori algorithm for frequent item sets generation.…”

“…Association rule mining (ARM) [18] has become one of the core data mining tasks and has concerned tremendous interest amongst data mining researchers. ARM is an un-directed or un-supervised data mining method which works on variable length data, and generates clear and understandable results.…”

“…ARM is an undirected or un-supervised data mining method which works on variable length data, and generates clear and understandable results. Association Rule Mining (ARM) algorithms [17] are defined into two categories; namely, algorithms respectively with applicant generation and algorithms with no applicant generation. In the initial category, those algorithms which are similar to Apriori algorithm for applicant generation are considered.…”

Comparative Analysis of Association Rule Mining Algorithms for the Distributed Data

“…The main aim of data mining technology is to explore hidden information from large databases. Many data mining techniques are exist such as association rule mining, clustering, classification and so on are well known and have wide applications in the real world [1][2][3]. The issue of privacy arises in two situations namely centralized and distributed environment.…”