Data mining has been widely recognized as a powerful tool to explore added value from large-scale databases. Finding frequent item sets in databases is a crucial in data mining process of extracting association rules. Many algorithms were developed to find the frequent item sets. This paper presents a summary and a comparative study of the available FP-growth algorithm variations produced for m...

The fast increase in the size and number of databases demands data mining approaches that are scalable to large amounts of data. This has led to the exploration of parallel computing technologies in order to perform data mining tasks concurrently using several processors. Parallelization seems to be a natural and cost-effective way to scale up data mining technologies. One of the most important...

In aspect-oriented programming, we can encapsulate cross-cutting concerns scattered over many modules in a system. There are many studies for detecting candidates of cross-cutting concerns called aspect mining, and automation of it. However, existing all aspect mining tools are batch processing system aiming for large systems. Compared with existing batch-type tools, this paper propose an onlin...

Data mining, also called knowledge discovery in databases, is regarded as a non-trivial process of identifying valid, novel, potentially useful, and ultimately understandable knowledge in large-scale data. This paper briefly reviews some typical applications and highlights potential contributions that fuzzy set theory can make to data mining. In this connection, some advantages of fuzzy methods...

In this study, a multi-agent web text mining system on the grid is developed to support enterprise decision-making. First, an individual intelligent learning agent that learns about underlying text documents is presented to discover the useful knowledge for enterprise decision. In order to scale the individual intelligent agent with the large number of text documents on the web, we then provide...

Mining is an economic activity that involves extracting, exploiting, and using minerals for commercial purposes. Globally, its growth has been steady in recent decades due to the demand various luxury items industrial projects. The main objective of this research was describe classification mining activities Ecuador name according their treatment capacity. To respond objective, a bibliographic ...

An important aspect of data mining algorithms and systems is that they should scale well to large databases. A consequence of this is that most data mining tools are based on machine learning algorithms that work on data in attribute-value format. Experience has proven that such ’single-table’ mining algorithms indeed scale well. The downside of this format is, however, that more complex patter...