Coal seams ascending mining technology is very significant, since it influences the safety production and the liberation of dull coal, speeds up the construction of energy, improves the stability of stope, and reduces or avoids deep hard rock mining induced mine disaster. Combined with the Xiaoming ascending mining mine 4-1, by numerical calculation, the paper analyses ascending mining 4-1 fact...

Sequential pattern mining has become a challenging task in data mining due to its complexity. Essentially, the mining algorithms discover all the frequent patterns meeting the user specified minimum support threshold. However, it is very unlikely that the user could obtain the satisfactory patterns in just one query. Usually the user must try various support thresholds to mine the database for ...

The need for treatment of dilute metal contaminated water as a residual from mining and mineral processing facilities is ubiquitous. Electrochemical technologies have the potential to provide selective and measurable recovery of base metals from dilute mining influenced water. However, the technology is currently not widely used in the treatment of mining influenced water (MIW). The principles ...

In this paper we describe an educational data mining (EDM) case study based on the data collected during the online assessment of students who were able to immediately receive tailored and elaborated feedback (EF) after answering each of the questions in the test. Our main interest as domain experts (i.e. educators) is in studying (by employing any kind of analysis) how well the questions in th...

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...

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...

The development in data mining technology brings serious threat to the individualinformation. The objective of privacy preserving data mining (PPDM) is to safeguard the sensitive information contained in the data. The unwanted disclosure of the sensitive information may happen during the process of data mining results. In this paper we identify four different types of users involved in mining a...

Data mining is the task of discovering significant patterns/rules/results from a set of large amount of data stored in databases, data warehouse or in other information repositories. Even though the focus on datamining technology has been on the discovery of general patterns some data-mining applications may require to access individual’s records having sensitive privacy data. Abundance of reco...

Today we are living in a data-driven world. Developments in data generation, gathering and storing technology have empowered organizations to gather data sets of massive size. Data mining is a term that blends traditional data analysis methods with cultured algorithms to handle the tasks stood by these new forms of data sets. This paper is a comparative analysis of various Data Mining of traffi...

Advances in multimedia acquisition and storage technology have led to tremendous growth in very large and detailed multimedia databases. If these multimedia files are analyzed, useful information to users can be revealed. Multimedia mining deals with the extraction of implicit knowledge, multimedia data relationships, or other patterns not explicitly stored in multimedia files. Multimedia minin...