Kamal Ali Albashiri

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In this paper we describe EMADS, an Extendible Multi-Agent Data mining System. The EMADS vision is that of a community of data mining agents, contributed by many individuals, interacting under decentralised control to address data mining requests. EMADS is seen both as an end user application and a research tool. This paper details the EMADS vision, the(More)
In this paper we describe the concept of Meta ARM in the context of its objectives and challenges and go on to describe and analyse a number of potential solutions. Meta ARM is defined as the process of combining the results of a number of individually obtained Associate Rule Mining (ARM) operations to produce a composite result. The typical scenario where(More)
In this paper we: introduce EMADS, the Extendible Multi-Agent Data mining System, to support the dynamic creation of communities of data mining agents; explore the capabilities of such agents and demonstrate (by experiment) their application to data mining on distributed data. Although, EMADS is not restricted to one data mining task, the study described(More)
Nowadays, in given network or system we have to share personal specific data. If unauthorized person read our personal data then it is simple break the privacy policy . and any one can read other personal data and its easy to figure out the particular person so indirectly violation in confidentiality also involves . so this paper on the achieving(More)
In this chapter we describe EMADS, an Extendible Multi-Agent Data mining System. The EMADS vision is that of a community of data mining agents, contributed by many individuals and interacting under decentralized control, to address data mining requests. EMADS is seen both as an end user platform and a research tool. This chapter details the EMADS vision,(More)
My research focuses on combining Distributed Data Mining (DDM) with MultiAgent Systems (MAS) benefiting from the possibilities offered by the MASs to improve overall DM performance. Data mining (DM) technology has emerged as a means for identifying patterns and trends from large quantities of data. The Data Mining technology normally adopts data integration(More)
Data Mining(DM) technique is used to mine interesting hidden knowledge from large databases using various computational techniques/ tools. Association Rule Mining(ARM) today is one of the most important aspects of DM tasks. In ARM all the strong association rules are generated from the Frequent Itemsets. In this study a central Data Warehouse based(More)
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