The depletion of natural resources in the last century now threatens our planet and the life of future generations. For the sake of sustainable development, this paper pioneers an interesting and practical problem of dense substructure (i.e., maximal cliques) mining in a fuzzy graph where the edges are weighted by the degree of membership. For parameter 0 ≤ λ ≤ 1 (also called fuzzy cut in fuzzy...

The safety issue of coal mining engineering is very important to coal industry. According to our coal mine enterprises' safe characteristics, this paper analyzed the risk factors of coal mining engineering and studied the safety problem of “humanmachine-environment” system. The risk factors of coal mining engineering are divided to natural geological factors, personnel factors, equipment factor...

This paper proposed a information sharing technique maintaining privacy preservation in distributed data mining. The theoretical principles proposed to develop information sharing technique to find the best choice of objective for goal of the game with distributed manner. The multi-objective evaluation method among the parties data based on best and worst solution has implemented at center of t...

At present, we have a dmFSQL server available for Oracle© Databases, programmed in PL/SQL. This server allows us to query a Fuzzy or Classical Database with the dmFSQL (data mining Fuzzy SQL) language for any data type. The dmFSQL language is an extension of the SQL language, which permits us to write flexible (or fuzzy) conditions in our queries to a fuzzy or traditional database. In this pape...

Mining hybrid dimension fuzzy association rule is one of the important processes in data mining . Apriori algorithm concerned with handling single level, single dimensional association rules. this paper is presenting, a new modification in joining process to reduce the redundant generation of sub items during pruning the candidate itemsets, which can obtain higher efficiency of mining that of o...

The rapid e-commerce growth has made both business community and customers face a new situation. Due to intense competition on the one hand and the customer’s option to choose from several alternatives, the business community has realized the necessity of intelligent marketing strategies and relationship management. Web usage mining attempts to discover useful knowledge from the secondary data ...

Intrusion detection system has been a powerful weapon to protect networks from attacks and has gained more and more attention. Data mining has been proven as an important method to detect intrusions. Fuzzy logic based methods together with the techniques from Artificial Intelligence have gained importance. Sequential pattern mining, which discovers frequent subsequences as patterns in a sequenc...

Web page prediction is a technique of web usage mining used to predict the next set of web pages that a user may visit based on the knowledge of previously visited web pages. The World Wide Web (WWW) is a popular and interactive medium for publishing the information. While browsing the web, users are visiting many unwanted pages instead of targeted page. The web usage mining techniques are used...

Data mining technology has emerged as a means for identifying patterns and trends from large quantities of data. Data mining is a computational intelligence discipline that contributes tools for data analysis, discovery of new knowledge, and autonomous decision making. Clustering is a primary data description method in data mining which group’s most similar data. The data clustering is an impor...

In security infrastructure network intrusion detection system plays an important role. There are number of novels attacks in present scenario and it is not an easy to determine that. So in this paper we discuss the few new integrated network detection system. This paper also gives a better NIDS as a result because the numbers of good techniques have been integrated in this paper. So as conclude...