IF 0.6 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS International Journal of Information Technology and Web Engineering Pub Date : 2019-10-01 DOI:10.4018/ijitwe.2019100101
V. Radhakrishna, Puligadda Veereswara Kumar, V. Janaki
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引用次数: 11

摘要

在这项研究中,作者提出了一种名为GANDIVA的新颖树形结构,通过执行基于树的扫描并消除SPAMINE, G-SPAMINE, MASTER和Z-SPAMINE方法所需的数据库扫描来计算所有时间项集的真实支持。我们的想法是构造一个名为GANDIVA的树,它决定从构造的树中支持所有带有时间戳的时间项集。该方法的另一个重要优点是,在从原始数据库构造时间分析模式树(GANDIVA)之后,它不需要将原始数据库保留在内存中。与SPAMINE、G-SPAMINE、Z-SPAMINE和MASTER相比,GANDIVA的显著优势在于,在构建树之后,GANDIVA不需要对数据库进行扫描。GANDIVA是一项开创性的研究,提出了一种新的基于树的季节性时间数据挖掘框架。
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GANDIVA
In this research, the authors propose a novel tree structure called GANDIVA which computes true supports of all temporal itemsets by performing a tree-based scan and eliminating the database scan which is required for SPAMINE, G-SPAMINE, MASTER, and Z-SPAMINE approaches. The idea is to construct the tree called GANDIVA which determines support of all time-stamped temporal itemsets from the constructed tree. Another important advantage of the proposed approach is that it does not require the original database to be retained in the memory after a time profiled pattern tree (GANDIVA) is constructed from the original database. The significant advantage of GANDIVA over SPAMINE, G-SPAMINE, Z-SPAMINE, and MASTER is that GANDIVA requires zero database scans after the tree construction. GANDIVA is the pioneering research to propose a novel tree-based framework for seasonal temporal data mining.
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来源期刊
CiteScore
2.60
自引率
0.00%
发文量
24
期刊介绍: Organizations are continuously overwhelmed by a variety of new information technologies, many are Web based. These new technologies are capitalizing on the widespread use of network and communication technologies for seamless integration of various issues in information and knowledge sharing within and among organizations. This emphasis on integrated approaches is unique to this journal and dictates cross platform and multidisciplinary strategy to research and practice.
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