Large tiles in a database are itemsets with the largest area which is defined as the itemset frequency in the database multiplied by its size. Mining these large tiles is an important pattern mining problem since tiles with a large area describe a large part of the database. In this paper, we introduce the problem of mining top-k largest tiles in a data stream under the sliding window model. We...

Concept maps, visual representations of knowledge, are used in an educational context as a way to represent students’ knowledge, and identify mental models of students; however there is a limitation of using concept mapping due to its difficulty to evaluate the concept maps. A concept map has a complex structure which is composed of concepts and their relationships that often have a weighted di...

This paper established a system dynamics model of energy saving and emission reduction in coal mining area, as well as conducted simulation of different development plans, based on the analysis of energy saving and emission reduction factor of coal production links, of the complex structure of energy saving and emission reduction system in coal mining area, and of the dynamic feed-back mechanis...

Data Mining is one of the most motivating area of research that is become increasingly popular in health organization. Data Mining plays an important role for uncovering new trends in healthcare organization which in turn helpful for all the parties associated with this field. This survey explores the utility of various Data Mining techniques such as classification, clustering, association, reg...

This paper describes successful industrial research and development in the area of underground coal mining equipment automation. A brief background to underground coal mining is given, and the process of longwall mining is detailed. Some of the major limitations and issues impacting on the productivity and safety of the longwall mining process are highlighted, which serve to motivate the automa...

Frequent pattern mining has become one of the most popular data mining approaches for the analysis of purchasing patterns. There are techniques such as Apriori and FP-Growth, which were typically restricted to a single concept level. We extend our research to discover cross level frequent patterns in multi-level environments. Unfortunately, little research has been paid to this research area. M...

This paper focuses on the data mining and the current trends associated with it. It presents an overview of data mining system and clarifies how data mining and knowledge discovery in databases are related both to each other and to related fields. Data Mining is a technology used to describe knowledge discovery and to search for significant relationships such as patterns, association and change...

Association rule mining has attracted wide attention in both research and application area recently. Mining multilevel association rules is one of the most important branch of it. This paper introduces an improved apriori algorithm so called FP-growth algorithm that will help resolve two neck-bottle problems of traditional apriori algorithm and has more efficiency than original one. New FP tree...

The techniques of data mining are very popular in the area of agriculture. The advancement in Agricultural research has been improved by technical advances in computation, automation and data mining. Now a days ,data mining is being used in a vast areas .The products of data mining system and domain specific data mining application soft ware’s are available for tailor made use, but data mining ...

Unlike other IT innovations, data mining is not only an IT innovation but also a research methodology. Adoption and use of data mining in an organization could potentially raise unique privacy and ethical issues. Drawing on prior literature in the area of organizational adoption of IT innovation, specifically, the “diffusion of innovation” perspective, and research in the area of privacy and et...